ASPG

Journal of Intelligent Systems and Internet of Things

ISSN (Online)

2690-6791

ISSN (Print)

2769-786X

Volumes

* Hybrid Machine Learning Model for Rainfall Forecasting
* A comparative study on Internet of Things (IoT): Frameworks, Tools, Applications and Future directions
* A survey on gel images analysis software tools
* Improving the Security and Authentication of the Cloud with IoT using Hybrid Optimization Based Quantum Hash Function
* A Survey on Meta-heuristic Algorithms for Global Optimization Problems
* Handling within-word and cross-word pronunciation variation for Arabic speech recognition (knowledge-based approach)
* Mindful Horizons: Navigating the Future Challenges and Potential Threats of Brain-Computer Interfaces (BCIS)
* Computer Network Design for the teaching area of the Elvira Cape library
* A New Method for Web Service Recommendation Based on QoS Prediction
* A Survey on Flower pollination algorithm
* Enhancing WBAN Performance with Cluster-Based Routing Protocol Using Black Widow Optimization for Healthcare Application
* Autism Spectrum Diagnosis using Adaptive Learning Algorithm for Multiple MLP Classifier
* ERP Implementation Road Map for Small and Medium Size Enterprises (SMEs)
* Characterizing wavelet coefficients with decomposition for medical images
* ECG signal monitoring based on Covid-19 patients: Overview
* Solving the Problem of Target k-Coverage in WSNs Using Fuzzy Clustering Algorithm
* A Dockers Storage Performance Evaluation: Impact of Backing File Systems
* A Novel Artificial Intelligence Based Internet of Things for Fall Detection of Elderly Care Monitoring
* Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions
* Intelligent System for Ranking Big Data in Search Engine
* Pollution Reduction using Intelligent Warning Messages in VANET
* Optimized Resource Allocation Algorithm for Crowd-Creation Space Computing Based on Cloud Computing Environment
* Intelligent Fault Diagnosis of Gears Based on Deep Learning Feature Extraction and Particle Swarm Support Vector Machine State Recognition
* Intelligent system for IoT botnet detection using SVM and PSO optimization
* A Proposed AI-based Algorithm for Safety Detection and Reinforcement of Photovoltaic Steel
* From the Wireless Sensor Networks (WSNs) to the Web of Things (WoT): An Overview
* Intelligent Image Detection System Based on Internet of Things and Cloud Computing
* Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System
* Intelligent System for Forecasting Failure of Agile Projects
* Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data
* A Trustworthy Learning Technique for Securing Industrial Internet of Things Systems
* Authentication and Encryption of IoT Devices Based on Elliptic Curves: A survey
* Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks
* Automated Deep Learning based Video Summarization Approach for Forest Fire Detection
* Intelligent Neighborhood Indexing Sequence Model for Healthcare Data Encoding
* Modeling of Multiple Share Creation with Optimal Signcryption Technique for Digital Image Security
* MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies
* Effective Drive an Autonomous Vehicle, The Environment Characteristics Are Extracted Via Intelligent Image Processing
* Chaotic Butterfly Optimization with Optimal Multi-key Image Encryption Technique for Wireless Sensor Networks
* Intelligent Differential Evolution based Feature Selection with Deep Neural Network for Intrusion Detection in Wireless Sensor Networks
* A Hybrid Heuristic AI Technique for Enhancing Intrusion Detection Systems in IoT Environments
* Digital Automatic of Clothing Design Cad Based on Intelligent Sensing Technology
* Comparison between Saudi Arabia and USA: Prevention and Dealing with Cyber Security
* An Improved Metaheuristic based Node Localization Technique for Wireless Sensor Networks
* The Application of Fuzzy Collaborative Intelligence to Detect COVID-19 Minor Symptoms
* An Intelligent Bankruptcy Prediction Model based on an Enhanced Sparrow Search Algorithm
* Development of Sustainable assessment Model of solar hydrogen production techniques: An integrated MCDM approach
* A Novel Glowworm Swarm Optimization Driven Gated Recurrent Unit Enabled Botnet Detection in IIoT Environment
* Sustainable Management for the Architectural Heritage in Intelligent Cities using MCDM methods
* An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers
* Site Selection for an Offshore Wind Power Station Under a Fuzzy Environment
* Several Factors to Analyze the Issues Concerned with the Internet of Things: Methods and analysis
* Clustered IoT Based Data Fusion model for Smart Healthcare Systems
* A Proposed Optimization Model for Water Quality Prediction in Internet of Things Environment
* An intelligent multi-criteria decision-based approach for sustainable growth of the energy sector: the case study of India and Vietnam
* Customer Data Processing in Internet of Things Environments Using RFM Analysis and K-means Clustering
* Smart Learning in the Ecosystem: Examines Smart Learning Structural Design Features Considering IoT and IoB
* An intelligent Multi-criteria Decision-making Model for Sustainable Higher Education Strategy Selection
* Intelligent Wheat Types Classification Model Using New Voting Classifier
* An Edge Intelligence Framework for Elegant Power Management in IoT-enabled Power Grids
* Federated Resistance Against Adversarial Attacks in Resource-constrained IoT
* Intelligent and Secure Detection of Cyber-attacks in Industrial Internet of Things: A Federated Learning Framework
* Collaborative Segmentation of COVID-19 From non-IID Topographies in the Internet of Medical Things (IoMT)
* An advanced optimization technique for integrating IoT and cloud computing on manufacturing performance for supply chain management
* An effective model for Selection of the best IoT platform: A critical review of challenges and solutions
* Artificial Neural Network Based Approach for Food Recognition Using Various Filters
* An Approach Based on Decision-Making Algorithms for Qos-Aware Iot Services Composition
* Intelligent Model for Customer Churn Prediction using Deep Learning Optimization Algorithms
* Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network
* Skin Cancer Detection using Neutrosophic c-means and Fuzzy c-means Clustering Algorithms
* Intelligent System for Body Fat Percentage Prediction
* Security Challenges and Solutions in the Internet of Things
* Intelligent Edge Computing for IoT: Enhancing Security and Privacy
* Intelligent Traffic Management using IoT and Machine Learning
* Intelligent Video Moving Target Detection Based on Multi-Attribute Single Value Medium Neutrosophic Method
* Forecasting COVID-19 Infection Using Encoder-Decoder LSTM and Attention LSTM Algorithms
* Smart Security Area (SSA) for Radar system technology
* Smart Sensor Networks for Industrial IoT Applications
* AI-Driven Smart Homes: Challenges and Opportunities
* Survey of Artificial Intelligence of Things for Smart Buildings: A closer outlook
* Securing Wireless Sensor Networks Against DoS attacks in Industrial 4.0
* A Machine Learning Approach for Energy-Efficient IoT Systems
* Federated Learning for Intelligent Resources Allocation in Internet of Things
* Recurrent Model for Automatic Detection Cardiac Arrhythmia on the Internet of Healthcare Things
* Intelligent Learning System to Help People with Color Impairment Using Image Processing Algorithms
* Federated Knowledge Purification for Responsive Internet of Things
* Intelligent Asset Tracking System for Logistics Industry using IoT and Big Data
* IoT-Based Health Monitoring System with Real-Time Analytics
* Smart Irrigation System with Predictive Analytics using Machine Learning and IoT
* Intelligent Waste Management System for Recycling and Resource Optimization
* Intelligent Traffic Management System for Smart Cities
* Intelligent Energy Management System for Sustainable Smart Homes
* Performance Enhancement of Intelligent Healthcare-Based Recommendation System with IFODNN Model
* A Multi-level Fusion System for Intelligent Capture and Assessment of Student Activity in Physical Training based on Machine Learning
* Intelligent Load Identification of Household-Smart Meters Using Multilevel Decision Tree and Data Fusion Techniques
* Granulation-Based Data Fusion Approach for a Critical Thinking Worldview Information Processing
* Intelligent Multi-Level Feature Fusion Using Remote Sensing and CNN Image Classification Algorithm
* Fuzzy-Based Clustering for Larger-Scale Deep Learning in Autonomous Systems Based on Fusion Data
* A Novel Approach for Enhance Fusion Based Healthcare System In Cloud Computing
* IOT enabled Intelligent featured imaging Bone Fractured Detection System
* An Intelligent Multi-Criteria Decision-Making Model for selecting an optimal location for a data center: Case Study in Egypt
* Intelligent Wireless Sensor Networks for Healthcare: Bridging Biomedical Clothing to the IoT Future
* Developing a Risk Management System with an Optimistic Predictive Approach and Business Decision-Making
* A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks
* Anomaly Detection in Complex Power Grid using Organic Combination of Various Deep Learning (OC-VDL)
* Modeling Sports Event Tasks in Augmentative and Alternative Communication Using Deep Learning
* Machine Learning Based Logistic Decision Support System for Intelligent Vehicles and Transportation Systems
* Path Scheduling and Bandwidth Utilization for Urban Vehicular Adhoc Networks
* Developing Heart Rate Monitoring system for Athletes using Fuzzy Clustering Approach
* Intelligent Classification for Credit Scoring Based on a Data Mining algorithm
* Diagnosis of Overlapping Communities and Coherent Groups Using Structural Centrality based Methodology
* Developing a Smart Economy Using Statistical Framework-Based Business Models in Smart Cities
* Intelligent system for Distributed Quality Monitoring of Sewage Management based on Wastewater Treatment Procedure and Data Mining
* Data Management and Decision-Making Process Using Machine Learning Approach for Enterprises
* Chili Leaf Disease Detection Using Deep Feature Extraction
* Athlete’s Performance Analysis Based on Improved Machine Learning Approach on Wearable Devices
* Application of Edge Computing-Based Information-Centric Networking in Smart Cities
* Blockchain-based e-Medical Record and Data Security Service Management based on IoMT resource
* Predictive Maintenance in IoT: Early Fault Detection and Failure Prediction in Industrial Equipment
* Privacy-Enhanced Digital twin Framework for Smart Livestock Management: A Federated Learning Approach with Privacy-Preserving Hybrid Aggregation (PPHA)
* The Role of Internet of Things in Smart City Environmental Monitoring: A Pollution Detection System
* Catalyzing Future Education: Dynamic Learning and Remote Experiments through IoT-Integrated Learning Management Systems and Virtual Reality
* An optimized Identification System by using Shark Smell algorithm for Biometric Images Crossing
* Safeguarding Digital Essence: A Sub-band DCT Neural Watermarking Paradigm Leveraging GRNN and CNN for Unyielding Image Protection and Identification
* The «Climate in Weathers» Approach to Processing of Meteorological Series in Mesopotamia: Assessment of Climate Similarity and Climate Change using Data Mining
* Deep Convolutional Neural Network and Metaheuristic Optimization for Disease Detection in Plant Leaves
* Real-time Monitoring of Activity Recognition in Smart Homes: An Intelligent IoT Framework
* Internet of Things Enabled Disease Outbreak Detection: A Predictive Modeling System
* Predictive Energy Management in Internet of Things: Optimization of Smart Buildings for Energy Efficiency
* Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach
* Predicting Student Performance Using Educational Data Mining and Learning Analytics Technique
* An Ensemble Learning Approach for detection of Chronic Kidney Disease (CKD)
* Ambient air pollution monitoring and health studies using low-cost Internet-of-things (IoT) monitor within KNUST Community
* IoT-based Emulated Performance Evaluation NLP Model for Advanced Learners in Academia 4.0 and Industries 4.0
* Ant Colony Optimized XGBoost for Early Diabetes Detection: A Hybrid Approach in Machine Learning
* 3D Hand Pose and Shape Estimation from Single RGB Image for Augmented Reality
* Real Time E-learning Students Monitoring for Optimization Facial Landmark Recognition Based on Hybrid Deep Learning Techniques
* Intelligent Classification of JPEG files by Support Vector Machines with Content-based Feature Extraction
* Early Energy Consumption Prediction as a Key Element in Smart City Sustainability
* Security and Privacy Protection for Online Electronic Documents Based on Novel Encryption Techniques
* Prediction of Rainfall Trends Using Forecasting Approaches Based on Singular Spectrum Analysis
* Forward feature selection: empirical analysis
* Optimizing Sustainable Inventory Management using An Improved Big Data Analytics Approach
* A Multi-Criteria Decision Making TOPSIS Fusion Approach for Selection Best Strategy Charging for Electric Bus Systems
* Optimizing Retail Business Strategies with Advanced Analytics and Improved Business Intelligence Techniques
* Energy Efficient Cluster Head Selection Using Hybrid RL-PSO Approach
* Improving Support vector machine for Imbalanced big data classification
* Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education
* Adaptive feature selection based on machine learning algorithms for Lung tumors diagnosis and the COVID-19 index
* Advanced Intrusion Detection in Vehicular Networks: Empowering Security through Hybrid Off-loading Techniques and Enhanced Radial Bias Neural Network
* Internet of Things Enabled Based Arrhythmia Classification using Dandelion Optimization Algorithm with Ensemble Learning
* A Framework for Leveraging the Incorporation of AI, BIM, and IoT to Achieve Smart Sustainable Cities
* Enabling Metaheuristics with Deep Learning based Resource Allocation in Unmanned Aerial Vehicles Wireless Networks
* Enhanced Jaya Optimization Algorithm with Deep Learning Assisted Oral Cancer Diagnosis on IoT Healthcare Systems
* Design, Simulation and Analysis of Multi-Dimensional Multiple Access (MDMA) Schemes Using MATLAB for Quality of Service (QoS) Enhancement
* Outlier Management and its Impact on Diabetes Prediction: A Voting Ensemble Study
* Grey Wolf Optimizer Algorithm for Multi-Objective Optimal Power Flow
* Enhancing Brain Tumor Detection and Classification using Osprey Optimization Algorithm with Deep Learning on MRI Images
* Energy Efficient Task Scheduling Strategy using Modified Coot Optimization Algorithm for Cloud Computing
* Enhancing Real-Time Malware Analysis with Quantum Neural Networks
* Automated EEG based Emotion Detection using Bonobo Optimizer with Deep Learning on Human Computer Interaction
* Multimodal Feature Fusion Using Optimal Transfer Learning Approach for Lung Cancer Detection and Classification on CT Images
* Spider Monkey Optimization with Deep Learning-based Hindi Short Text Sentiment Analysis
* Zero Trust-Based Blockchain Based IoT Security with Consensus and Access Control Framework
* An adaptive distributed intrusion detection system in local network: Hybrid classification methods
* A Frequency Reconfigurable Graphene-Based Microstrip Antenna with Mushroom-Like EBG
* Application of Real-Time Behavior Tracking Algorithm Combined with Yolov8 in Student Behavior Detection
* Improving Data Aggregation Performance in Wireless Sensor Networks using Software-Defined Networks
* Enhanced Heart Disease Prediction Using Machine Learning Techniques
* Quantitative Approach for Anemia Detection Using Regression Analysis
* Comparative Analysis of ML-Based Outlier Detection Techniques for IoT-Based Smart Energy Management Systems
* Sustainable Waste Management through ML-based Real-Time Trash Bin Prediction
* Securing Pervasive Computing Networks: Enhancing Network Security via Network Virtualization in Wireless Communications Infrastructure
* An IoT Device-Level Vulnerability Control Model Through Federated Detection
* HDRA: A Haybird Data Reduction and Routing Algorithm
* Multi-Objective Evolutionary Algorithm to Optimize IoT Based Scheduling Problem Using (NSGA-II Algorithm)
* A Hybrid Logistic Scroll Chaotic Encryption Algorithm for Ensuring the Cloud Security to Counerfeiting the Attacks
* Filtering Big Data with Optimized Hybrid Algorithm for IoT-Based Data Selection
* Development of an Approach for Image Forgery Detection Using Machine Learning Algorithms
* Evaluating the Potential of Mesh Networks in Enhancing Rural Connectivity based on Internet of Thing
* Investigating the Impact of Compressed Sensing Techniques and IoT in Medical Imaging
* Strategizing IoT Network Layer Security Through Advanced Intrusion Detection Systems and AI-Driven Threat Analysis
* Modeling of Dung Beetle Optimization-based Sink Node Localization Approach for Wireless Sensor Networks
* A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector
* Revolutionizing Healthcare: A Comprehensive Framework for Personalized IoT and Cloud Computing-Driven Healthcare Services with Smart Biometric Identity Management
* Enhancing Air Pollution Monitoring and Prediction using African Vulture Optimization Algorithm with Machine Learning Model on Internet of Things Environment
* Intelligent System for the Classification of Arterial Blood Pressure Waveform Abnormalities Due to Mistiming in Intra-Aortic Balloon Pump
* An Improved Internet of Thing-based Optimized SVM Approach for ECG-founded Cardiac Arrhythmia Classification
* Intelligent IOT Based Audio Signal Processing for Healthcare Applications
* An Effective Internet of Things based Assessment of ANN and ANFIS algorithms for Cardiac Arrhythmia
* An efficient Analysis based on the Internet of Things, SVM and KNN for Operative Diabetic Retinopathy Classification
* Strategic Improved K-Means Clustering in Mining Blood Donor Data Analysis and IoT-based Allocation
* Fractal Dimension on CBCT Images and Modular Neural Networks to Identify Reduced Bone Mineral Density in Women
* Optimizing Brain Tumor Classification Accuracy Through Transfer Learning and Internet of Things Integration
* An Advance Study of an Efficient CNN-Grounded Deep Learning Classification Technique for the Diagnosis of IoT based Cardiac Arrhythmias
* An Ensemble Machine Learning Method for Analyzing Various Medical Datasets
* Systematic Analysis based on Conflux of Machine Learning and Internet of Things using Bibliometric analysis
* Improving Loan Status Prediction Accuracy with Generative Adversarial Networks: Addressing Data Scarcity and Bias
* Cyber Security Based Application-Specific Integrated Circuit for Epileptic Seizure Prediction Using Convolutional Neural Network
* Improving Loan Status Prediction Accuracy with Generative Adversarial Networks: Addressing Data Scarcity and Bias
* An Intelligent IoT Framework for Heart Diseases Prediction Using Harris Hawk Optimized GRNN
* Digital Forensic Based Object Recognition for Enhanced Crime Scene Interpretation
* Comprehensive Analysis of Implementation and Evaluation IoT based Techniques in Networked Security Systems
* Machine Learning and Internet of Things Driven Energy Optimization in Wireless Sensor Networks through Crossbreed Clustering
* Emerging Trends: Nano-Scale Wireless Sensor Networks and Applications
* Intelligent Integration of Wearable Sensors and Artificial Intelligence for Real-time Athletic Performance Enhancement
* Optimized LoRaWAN Architectures: Enhancing Energy Efficiency and Long-Range Connectivity in IoT Networks for Sustainable, Low-Power Solutions and Future Integrations with Edge Computing and 5G
* An Operative IoT Grounded AEEBLR (Ant-Founded Efficient Energy and Balanced Load Routing) Method for Path Conjunction in Mobile Ad Hoc Networks Approach
* Artificial Intelligence-Enabled Muscular Movement Analysis in Wireless Body Area Networks for IoT based Fitness Assessment
* Advances in Wearable Sensors for Real-Time Internet of things based Biomechanical Analysis in High-Performance Sports
* Energy saving of cluster computing by CPU frequency Tuning using genetic algorithm
* An effective Web System for Weather monitoring using Artificial Neural Network Based on Internet of Things and Cloud Computing
* Enhanced Anomaly Detection in IoT Networks Using Hybrid Deep Learning and Bio-Inspired Optimization
* Software Testing Using Cuckoo Search Algorithm with Machine Learning Techniques
* Transfer Learning and Optimised Firefly Neural Network for Lung Cancer
* LoRa Architecture-Enabled Intelligent for Agriculture with Deep Learning Architecture
* Deep Learning-Based model for Medical Image Compression
* Collaborative Intelligence for IoT: Decentralized Net security and confidentiality
* Bridging the Gap between Technology and Medicine through the Revolutionary Impact of the Healthcare Internet of Things on Remote Patient Monitoring
* Optimizing Sensor Localization and Cluster Performance in Wireless Sensor Networks through Internet of Thing (IoT) and Boosted Weight Centroid Algorithm
* Security Implications of IoT-Enabled Mobile Net Facial Recognition System
* The Healthcare IoTs as a Paradigm Shift in Healthcare Management, Patient Treatment, and Healthcare Data Processing
* Innovative Approaches to Bank Security in India: Leveraging IoT, Blockchain, and Decentralized Systems against Loan Scams
* An Ensemble Boosting Algorithm based Intrusion Detection System for Smart Internet of Things Environment
* A Predictive Analysis of IMDb Movie Reviews Using LSTM and ANN Models
* A Comprehensive Review of Real-Time Vehicle Tracking for Smart Navigation Systems
* Gazelle Optimized Visual Geometry Group Network with Resnet101 fostered Oral Squamous Cell Carcinoma Detection
* Brain Tumor Semantic Segmentation using U-Net and Moth Flame Optimization
* A Hybrid Intelligence-based Deep Learning Model with Reptile Search Algorithm for Effective Channel Estimation in massive MIMO Communication Systems
* BBOA-SNDAE: A Deep Learning Model for HD Prediction in Medical IoT Systems
* Intelligent Segmentor: Self Supervised Deep Learning based Multi Organ and Tumor Segmentation with Pseudo Lables Generation from CT Images
* Deep Learning for Energy Forecasting Using Gated Recurrent Units and Long Short-Term Memory
* Modelling a Constructive Approach For Predicting Attacks Over IoT Network Environment
* Enhancing Task Scheduling Process in Fog Computing using GTO-SSSA: A Metaheuristic Approach
* Internet of Things Assisted Sleep Quality Recognition using Hunger Games Search Optimization with Deep Learning on Smart Healthcare Systems
* Quasi Oppositional Jaya Algorithm with Computer Vision based Deep Learning Model for Emotion Recognition on Autonomous Vehicle Drivers
* Stacked Ensemble Machine Learning based Skin Cancer Detection and Classification Model
* Energy Assessment based Smart Sustainable Production in Wireless Environment Using Internet of Agricultural Things (IoAT)
* Advanced IoT Framework for Optimizing Sunflower Seed Production in Uzbekistan: Integration of Multi-Environmental Sensors
* A Fuzzy Approach for Congestion Avoidance in FANET and IoT
* IoTBlockFin: A Solution to Prevent Loan Scams in India with Integrating IoT and Blockchain for Enhanced Security and Transparency in Loan Processing
* Efficient Routing and Lifetime Prolongation in IoT founded Wireless Sensor Network Performance with Bee Colony-Inspired Lifetime Enhancement
* The Future of Personalized Medicine and Internet of Things Reshaping Healthcare Treatment Plans and Patient Experiences
* The Integration and Implementation of the Healthcare Internet of Things and Its Comprehensive Analysis
* IoT based Wireless Networks in Hospitals: Ensuring Seamless Communication in Critical Situations
* Integrating Internet of Things Sensors with Machine Learning for Urinary Tract Infection Prediction in Male Felines
* Adaptive FPGA-Based Intrusion Detection System for Real-Time Internet of Things Security
* Deep Learning Driven LSTM with Spider Wasp Optimizer Algorithm for Frictional Force Based Landslides Prediction Model
* Capsule Networks for Rice Leaf Disease Classification
* New Adaptive-Clustered Routing Protocol for Indoor Fire Emergencies Using Hybrid CNN-BiLSTM Model: Development and Validation
* Intrusion Detection System in Wireless Sensor Networks Using Machine Learning
* Reduce Energy Consumption and Increase Lifetime via Genetic Algorithm over Wireless Communication Networks
* Smart Home Cloud Monitoring Design and Investigation Using Artificial Intelligence Strategies
* Security Inspection for Data Computing Networks Using Deep Learning Techniques
* Prediction and Classification of Fatty Liver Disease Using Probabilistic Neural Networks
* Automated Detection and Classification of Pneumonia using Deep Learning and Convolutional Neural Networks
* Research on Big Data efficient hybrid cloud storage model and algorithm based on 5G network
* Social Media Platform Based Evaluation of Teaching Style on Online Education System using Heuristic Search with Stacked Sparse Autoencoder Model
* Artificial Intelligence based Automated Sign Gesture Recognition Solutions for Visually Challenged People
* Enhancing Convolutional Neural Network for Image Retrieval
* IoT Innovations for Transforming the Future of Tourism Industry: Towards Smart Tourism Systems
* Forecasting for Vaccinated COVID-19 Cases using Supervised Machine Learning in Healthcare Sector
* MODRS: A Multi-Objective Deep Learning Algorithm for Optimizing Routing and Scheduling in LEO Satellite Networks
* Intelligent Crop Disease Detection and Classification Using Deep Convolution Neural Network with Honey Badger Algorithm on Image Data
* Classification of Tomato Diseases Using Deep Learning Method
* Artificial Intelligence Based Hybrid ASFO-ESVM for Load Demand Prediction in Micro Grid Energy Management
* Integration of advanced methods in decision making: plithogenic logic and neutrosophic AHP
* Enhancing Decision-Making in Uncertain Environments: The Role of Neutrosophic Cognitive Maps in Analyzing Complex Systems
* A Neutrosophic Multicriteria Analysis of Economic Recovery Systems
* Neutrosophic decision making using Saaty's AHP method and VIKOR
* Neutrosophic Sentiment Analysis Method Using Orange Data Analysis
* IoT-Enabled monitoring system for Plant Health Growth
* Dynamic Feature Weighting for Efficient Multi-Script Identification Using YafNet: A Deep CNN Approach
* Brain Tumor Detection: Integrating Machine Learning and Deep Learning for Robust Brain Tumor Classification
* Deployment of Hybrid Chaotic Hashes for Blockchain Driven Internet 4.0 applications
* The Impact of Big Data on the Nexus between Financial Leverage and Stock Price Prediction
* Exploring the Use of Deep Learning Models for Image Compression in Embedded Systems: Encoder and Decoder Architectures
* Analyzing the Vulnerability of Consumer IoT Devices to Sophisticated Phishing Attacks and Ransomware Threats in Home Automation Systems
* Transmuting Detached Patient Consideration through Secure and Private Healthcare Monitoring Systems
* Automated validated tool for epileptic seizure detection using deep learning
* Developing a system based on Chabot for detecting Epidemics in educational institution
* A Hybrid Speech Recognition System Using Deep Learning Methods
* Optimized KNN Algorithm for Diabetic Retinopathy Classification with PCA-Based Data Fusion and Cuckoo Search Optimization
* Deep Learning for Multi-Label Facial Attribute Classification on Large-Scale Image Datasets (CelebA)
* Health-Fots- A Latency Aware Fog Based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health Care Environment
* Weekly and Monthly Forecasting Rainfall Model based on LSTM
* An upgraded IoT based Mobile Ad- hoc Network enactment founded on optimized Signal Strength Based Routing algorithm
* New Keys for Cloud Resource Provisioning Optimization Method in Multi-Tier Style
* AI-Powered Election Insights: Predicting the 2024 Trump vs. Kamala Election Showdown with Machine Learning
* Blockchain-Enabled Multi-Head Attention Based Deep Learning Model for Intrusion Detection System in Smart Networks
* Design and implementation of intelligent home data cloud storage system with large system and big data
* Modelling Software Development Effort Using Data-Driven Models
* Deep Secure: An Integrated Approach to Anomaly Detection and Cryptographic Protection in Industrial Cyber-Physical Systems
* Explainable AI-Driven Gait Analysis Using Wearable Internet of Things (Wiot) and Human Activity Recognition
* Leveraging Artificial Intelligence for Assessing Metering Faults in Electric Power Systems
* Enhancing E-commerce Security through Fake News Detection Using Natural Language Processing and Advanced Feature Engineering Technique
* Grasshopper-Inspired Deep Neural Network for Enhanced Breast Cancer Classification
* Behavior of SPEA2 Algorithm to Resolve Scheduling Problem for IoT Cloud
* Optimizing Heart Attack Predictions Models using Innovative Machine Learning Methods
* Energy Efficiency and Practical Implications of IoT-Based Static vs. Single-Axis Solar Tracking Systems: A Comparative Analysis
* Securing IoT through Intrusion Detection Systems: An Overview
* Precision Driven Human Recognition Model for Adaptive Information Retrieval in Learning Environments
* Leveraging Marine Predators Algorithm with Deep Learning Object Detection for Accurate and Efficient Detection of Pedestrians
* Feature Selection and Stability Analysis using Ensemble Techniques
* Integrating IoT and smart AI for Enhanced Sustainability in freight forwarding companies Performance
* An Enhancement of YOLOV3-Tiny Model for Turmeric Plant Disease Detection
* Leveraging Variational Autoencoder with Hippopotamus Optimizer-Based Dimensionality Reduction Model for Attention Deficit Hyperactivity Disorder Diagnosis Data
* Enhanced Feature Selection Approach using Artificial Hummingbirds with Genetic Algorithm
* Multi-Dimensional Trust based Data Dissemination mechanism (MDTD) for Ensuring Authentication by Eliminating Blackhole Attack in VANET
* Robust Zero-Day Attack Detection with Optimal Deep Learning for Securing Internet of Things Environment
* Implement Intelligent YOLOv8 for Car Crowd Detection and Counting in the Roads
* Efficient CH selection for Traffic Congestion Reduction and To Improve Network Connectivity in Vehicular Adhoc Networks
* Human to Chatbot Text Classification Using Multi-Source AI Chatbots and Machine Learning Models
* Improving Non-Dominated Sorting Genetic Algorithm for IOT Service Composition Considering National Energy Consumption and User Experience
* A New Descriptor Based on Machine Learning for Intrusion Detection in Wireless Sensor Networks WNSs
* Multi-objective Optimization in Satellite-Assisted UAVs
* Cat-Feed-Nets: A Novel Cat Evoked Deep Feedforward Networks for Detection of Dos Attacks in IoT-Cloud Environment
* On Developing a Temporally Ordered Energy Efficient Routing Model (TO-EER) using Bio-Inspired Optimization for MANET
* An Optimized Convolutional Neural Network for Alzheimer’s disease Detection
* Natural Language Processing Driven Applied Linguistics for Sarcasm Detection Using Artificial Hummingbird Algorithm with Deep Learning
* Resources Management Consıderıng Envıronmental Condıtıons in Educatıonal Instıtutıons Based on IoT
* An Effective IoT based Vein Recognition Using Convolutional Neural Networks and Soft Computing Techniques for Dorsal Vein Pattern Analysis
* Transforming Public Health with AI and Big Data Deep Learning for COVID-19 Detection in Medical Imaging
* A Memory Efficient Adversarial Attention Tree-Structured Deep Learning Model for Classification
* Leveraging Quantum Neural Networks with Deep Learning Based Edge Detection Model for Breast Cancer Screening using Digital Mammograms
* Real-Time Classroom Emotion Analysis Using Machine and Deep Learning for Enhanced Student Learning
* Research on the Evaluation Method of Energy Sustainable Development Indicator System Based on Genetic Algorithm and Local Support Vector Regression
* Research on Image Generation Style Transfer and Reconstruction Loss Reduction Based on Deep Learning Framework
* Comment Feedback Optimization Algorithm (CFOA): A Feedback-Driven Framework for Robust and Adaptive Optimization
* Greylag Goose Optimization for Diabetes Prediction: Feature Selection Meets Advanced Machine Learning
* Deep Learning-based sensitive data detection with optimization-enabled secure encryption model for data privacy preservation in IoT
* Integrating Tent Chaotic Dung Beetle Optimization with Deep Ensemble Learning for Diabetic Retinopathy Recognition on Fundus Imaging
* Blockchain with IoT Integrated Framework for Tourism Service Customization and Management
* SCNN-UNet: A Novel Deep Learning Approach for Pulmonary Embolism Detection in COVID-19 Patients Using Super Pixel Segmentation
* Alzheimer Detection Using Deep Learning Methods
* Enhancing Osteoporosis Detection with Fuzzy Logic Preprocing and Pre-Trained Deep Convolutional Neural Networks
* A Hybrid Encryption Model with Blockchain Integration for Secure Cloud Data Storage and Retrieval
* Efficient Plant Disease Detection Using Lightweight Deep Learning Model
* Effective Signal Transmission from Underwater to Air Utilizing Hybrid Communication Systems
* Improving the Reliability of Wireless Sensor Network Assisted IoT Network with a Cluster-Based Chain-Tree Routing Protocol
* Sensor-Based Spatio-Temporal Human Activity Recognition: A Systematic Review of Advancements, Challenges, and Future Directions
* AI and Machine Learning for Breast Cancer Diagnosis Using Histopathology and Clinical Decision Systems
* Leveraging Cloud Computing for Digital Education: Implications for Student Achievement
* An Intelligent Financial Risk Management System Using Pythagorean Neutrosophic Fuzzy Graphs with Growth Optimization Algorithm
* Dermatology Chatbot: An AI-Driven Solution for Accessible Skin Care
* A deep learning-driven multi-layer digital twin framework with miot for precision oncology in cancer diagnosis
* TRIP-CID: Transformer and ResNet Improved Pest Classification and Identification Detection Model for Pesticide Management in Precision Agriculture
* Multi-Disease Recognition in Tea Plants By Evaluating the Performance of Yolo Models
* Park-Net: Multi-modality qEEG and fMRI-based PDDiagnosis via Attentional Graph Convolutional Neural Network
* Minimizing Time Overhead in VANET Task Offloading: A Novel Preparatory-Based Edge-Cloud Collaborative Model
* A Deep Learning-Based Guidance for Stuttering Prediction
* Internet of Medical Things Powered by Machine Learning for Real-Time Diabetes Prediction
* Brain Tumor Diagnosis Using Pre-Trained Conventional Neural Network Model
* SecureRS-CBIR: A Privacy-Preserving Deep Learning Framework for Content-Based Remote Sensing Image Retrieval
* VSG parallel power distribution control strategy by adaptive virtual impedance
* Cloud Enabled Blockchain and IoT Integrated Assisted Living System Supporting Quality of Life and Privacy in 6G Networks
* A Novel IoT based Wavelet and PCA Approach for Improved Glaucoma Classification Using Retinal Images
* Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application
* An Optimized Routing Algorithm for Internet of Vehicle (IoV) Environment
* Explainable Artificial Intelligence Driven Intrusion Detection System for Enhancing Reliability and Interpretability in IoT Based Network Security Solutions
* CBi-BERT: Efficient Skin Disease Image Segmentation Using Patch-Based Deep Feature Mapping and BERT-Based Attention Mechanism
* New Learning Approach for High-Load Traffic Optimization SDN
* IoT Optimum Planning for Human Facilities Enhancement in Smart Cities
* DeepBalance: A Deep Reinforcement Learning Framework for Dynamic Load Balancing in Software-Defined Networks
* Optimizing Hybrid Renewable Energy Systems for Electric Vehicle Charging Stations: A Feasibility Study in Iraqi Cities
* Smart System to Enhance Medical Examinations Data Analysis for University Students
* A Cloud-Enabled Assistive Robotics System for Secure and Interoperable Internet of Medical Things Ubiquitous
* Countermeasure to Black Hole Attack in MANET Wireless Network Security
* Comparative Analysis of Machine Learning Models for Predictive Healthcare in Chronic Disease Management
* Efficient Spam Email Detection Model based on Dynamic Embedding with Deep Learning Classification
* Advanced Predictive Analysis of EGDI Time Series Using Hybrid ARIMA-LSTM and SARIMAX: A Comparative Study for Iraq and Tunisia
* Designing Explainable Deep Learning Models for Biomedical Data Analysis and Clinical Prediction Enhancement
* Ensemble Learning-Based Intrusion Detection and Classification for Securing IoT Networks: An Optimized Strategy for Threat Detection and Prevention
* Computational Artificial Neural Network Performances for the Fractional Order Lumpy Skin Disease Model
* Quantifying the Impact of AI Integration in Software Development: An Empirical Analysis of Efficiency, Ethics, and Organizational Readiness
* ChainGuard 6G+: A Secure and Private Architecture for Wireless Communication Using Federated Learning and Blockchain in IoT Networks
* Enhancing Intrusion Detection System Transparency Using SHAP-Driven Support Vector Machine Tuned by Harris Hawks Optimization
* Blade Server Attack Detection and Mitigation Framework in Cloud Computing Using SSGRU and GGSSO
* Optimized Deep Learning Models for Forecasting Evaporation in Almaty Using Gray Wolf Optimization
* Keystroke Dynamics System for User Authentication Using SVM Classifier
* Deep Learning Techniques For Image Splicing Detection: A Systematic Review
* Optimizing Neural Network Architectures with TensorFlow and Keras for Scalable Deep Learning
* IoT-Enabled Reversible Watermarking of Medical Images Using PCA and Hash-Based Signatures for Secure Smart Healthcare
* A Distributed İntrusion Detection Using Long Short-Term Memory-Gradient Repeating Unit and Enhanced Density Peak Clustering for Real-Time Cyber Threat Detection
* Arabic Fake News Detection Techniques: A Review
* Trustworthy and Interpretable AI in IoT-Based Medical Systems: A Review and Framework for CoT-XAI Integration
* Urban Planning Based Sustainable Public Healthcare System using Machine Learning Algorithms
* An Adaptive Mutation-Aware Test Case Ordering Framework Using Deep Learning and Quantum-Behaved Multi-Objective PSO
* Satellite Imaging Based Risk Management in Cloud IoT Network Using Machine Learning Techniques
* Diverse Geographical Region Analysis Based on Deforestation Rate Using Remote Sensing Image and Machine Learning Techniques
* Edge Cloud IoT Model Based Marine Life Analysis Using Machine Learning Algorithms
* Cloud IoT with Remote Sensing Data Segmentation and Classification Using Deep Learning Model for Sustainable Agriculture
* Climate Change Prediction in Urban Environment Using UAV Imaging Based on Cloud IoT and Deep Learning Techniques
* Design and Construction of the Word Embedding Model for Automated Bug Detection Using Deep Learning Techniques
* Feature Weight-Based Optimization in Software Development Model Using Meta Heuristic Machine-Learning Algorithms
* Machine Learning Model Based Urban Temperature Analysis with Fuzzy Reinforcement Neural Network
* Distributed Ledger Technology-Enhanced 6G Wireless Communication: Overcoming Trust, Privacy, And Scalability Challenges
* The Impact of Digital Transformation, AI, and IoT on Employee Collaboration and Communication in Organizational Citizenship Behavior: A Comparative Study of Work Models
* Intelligent Arabic Writer Identification Using Artificial Immune System Algorithms: A Bio-Inspired Approach for Smart Pattern Recognition
* Symptom-Based Detection of COVID‑19 Cases Using Machine Learning Algorithms
* Energy-Aware UAV Relaying with SWIPT and Real-Time Reinforcement Learning for Disaster Response
* A Deep Convolutional Autoencoder with Metaheuristic Optimization based Feature Reduction Framework for Genetic Disorder Detection Model
* Blockchain-Enabled Beamforming Optimization in 6G-IoT Using ConvMarkov and Laplacian Eigenmaps
* A New Descriptor for Improving Lightweight Blockchain Environment Using a Hybrid GWO-Levy-GRU Framework for Nonce Discovery
* A New Strategy for Exploration and Area Coverage Using Swarm Robots by Enhancing the Pelican Optimization Algorithm
* Power Consumption Prediction Using a CNN-LSTM-Attention Hybrid Deep Learning Model
* Developing a Fast Hybrid Metaheuristic Algorithm to Enhance the Efficiency of Resource-Constrained Applications
* Multi-Variable Markov Framework for Predicting Battery Depletion in Wireless Sensor Networks
* Exposing Image Tampering: A Deep Learning Approach to Copy-Move Forgery Detection for Secure Digital Image Forensics
* Criminal Activity Classification in Surveillance Videos Using Deep Learning Models
* Fault Monitoring in Transmission Lines Using Modular Neural Networks in Simulated Smart Grids
* Features Extraction Improvement for Facial Expression Recognition Using HOG and Machine Learning Techniques
* A Hybrid Deep Learning and Fuzzy Logic Framework for PM10 Concentration Forecasting in Istanbul
* Design and Optimization of Energy-Efficient Wireless Sensor Networks for Industrial Automation
* Hybrid Neural Networks and Machine Learning for Detection of Diabetic Retinopathy
* Residual Graph Convolutional Networks for Improving Rumor Detection from Social Media Texts
* Deep Fake Image Detection Using Ensemble Approach
* Assessing Quality Attributes of Microservices in Hadoop and Spark Clusters: A Performance Benchmarking Approach in Dockerized and Non-Dockerized Architectures
* Exploring the Relationship between Social Network Structures and Emotional Contagion using NLP and Network Science
* A Two-Stage Hybrid AI Framework for Robust and Real-Time Driver Drowsiness Detection
* Advanced Deep Learning Model for Image Captioning Using Customized Vision Transformer with Global Optimization Algorithm
* Improving Pedestrian Walkways for Individuals with Disabilities Using Heuristic Search Based Parameter Tuning with Deep Transfer Learning Models
* Integrating Artificial Intelligence Driven Computer Vision Framework for Enhanced Sign Language Recognition in Hearing and Speech-Impaired People
* DNA Sequence Identification via Biologically Guided Feature Engineering and Hybrid ML–LSTM Networks
* Network-Aware Vehicle Detection and Tracking Using Hybrid Deep Learning and Simulated GPS in UAV Systems
* A Systematic Review on Classification Techniques of Microorganisms: Challenges and Recommendations – Towards Medical Intelligent Systems
* Deep Neural Network Graph with Reinforcement Learning for Test Case Prioritization
* Emotion Recognition Using Deep Learning via Facial Expression
* An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime
* Greylag Goose Optimization for Feature Selection and Hyperparameter Tuning in Chronic Kidney Disease Detection
* Forecasting CO2 Emissions from Cement Manufacturing with iHOW-Tuned Machine Learning Models
* Optimizing Earthquake Prediction Accuracy using Somersaulting Spider Optimizer for Dynamic Ensemble Weighting
* IoT and AI for Clinical Decision Support with Hierarchical Attention
* Hybrid Routing and Efficient Mobility Model with Ant Optimization in Mobile Ad-Hoc Networks
* Multi-View Feature Learning Approach in Deep Learning Model for Improving Endometrial Cancer Detection from Medical Images
* An Optimized Artificial Neural Network Model Using JAYA Algorithm for Energy Consumption Forecasting in Oman
* A Secure Biometric Passkey Pipeline Combining Continuous Thinking Machine Models with Post-Quantum and Neuro-Symbolic Cryptography
* Hybrid AI Ensemble for Real-Time Adaptive Optimization in Solar Energy Systems
* Low-Cost Multi-Sensor Localization for Indoor AGVs
* Enhanced Lightweight Cryptography-based Authentication Protocol for IoT Devices
* MFWX: Multi-Scale CNN with Multi-Frequency Channel Attention and Weighted Particle Swarm Optimization for Enhanced Brain Tumor Segmentation and Classification
* A Secure and Efficient Novel Keystream Generator for Stream Ciphers
* Enhancing Breast Cancer Detection in CESM Mammograms: Impact of Data Augmentation on U-NET Segmentation Performance
* Deep Learning-Based BER Enhancement for 64x64 MIMO-FSO NOMA Systems Under Various Atmospheric Turbulence Senarios
* Hybrid Optimization based Clustering with CNN-Based De-Authentication for IoT Enabled Heterogeneous Wireless Sensor Networks
* A Novel Approach to Face Recognition in Videos Based on a Single Reference Image
* An Effective Mechanism for Early Pandemic Detecting COVID-19 Rediction based on Time Series Data and WPRO-Based Deep Learning RNN
* Path Planning in Mobile Robotics: A Comparative Review of Classical and AI-Driven Techniques
* Blockchain-Augmented Zero Trust Architecture for Intrusion Detection in Decentralized IoT Networks
* Integrating Visual Sentiment Analysis with Textual Data for Enhanced Social Media Insights
* Real-Time Gesture Recognition Using Attention-Based CNN-RNN Framework for Human-Robot Interaction
* Emotion-Aware Recommendation Systems: Deep Sentiment Modeling for Consumer Behavior Understanding
* Adaptive Image Enhancement Using Hybrid Deep Learning and Traditional Filtering Techniques
* Neuromorphic VLSI Accelerator for Edge-Aware AI Processing Using Hybrid Spiking Neural Architectures
* Zero Watermarking Approach Based on Machine Learning and Cryptographic Protocol
* Comparative Evaluation of Information Technology Governance Frameworks for Ensuring Cybersecurity Compliance in the Internet of Things Era
* Robust Forgery Detection in Digital Images Utilizing the Multiple Image Splicing Data Set (MISD)
* Enhancing Product Recommendations through Large Language Model and Significant Latent Core Factor SVD: Insights from Amazon Reviews
* An Intelligent Student Performance Monitoring System Using Interactive GUI and Multi-Criteria Evaluation
* Classification of Benign and Melanoma Skin Tumors Using Modified CNN with Transfer Learning

Journal of Intelligent Systems and Internet of Things

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