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International Journal of Advances in Applied Computational Intelligence
ISSN (Online)
2833-5600
Volumes
View the Free-to-Download Articles
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Adoption of Google Glass technology: PLS-SEM and machine learning analysis
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Predicting the actual use of social media sites among university communicators: using PLS-SEM and ML approaches
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The acceptance of metaverse system: a hybrid SEM-ML approach
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Employees Motivational Factors toward Knowledge Sharing: A Systematic Review
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Natural Language Generation and Creative Writing A Systematic Review
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Interval Valued Neutrosophic VIKOR Method for Assessment Green Suppliers in Supply Chain
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Modelling Weather Conditions Using Encoder-Decoder and Attention Based on LSTM Deep Regression Model
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Intelligent systems and AI techniques: Recent advances and Future directions
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An Attentive Convolutional Recurrent Network for Fake News Detection
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Deep Learning Model for Early Weed Detection in Agriculture Application
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Applying Transformer Networks for Accurate Fake News Classification
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Computational Intelligence Approach for Biometric Gait Identification
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Deep Learning Defenders: Harnessing Convolutional Networks for Malware Detection
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Cardiovascular Diseases Forecasting using Machine Learning Models
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Unveiling the Power of Convolutional Networks: Applied Computational Intelligence for Arrhythmia Detection from ECG Signals
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Triangular Neutrosophic Multi-Criteria Decision Making AHP Method for Solar Power Site Selection
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Computational Intelligence for Automatic Detection Cardiac Arrhythmia from ECG Signals: Taxonomy and Open Issues
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Car Sharing Station Choice by using Interval Valued Neutrosophic WASPAS Method
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Single Valued Neutrosophic Set for Selection of Water Supply in Intelligent Farming
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An Intelligent Neutrosophic Model for Evaluation Sustainable Housing Affordability
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Intelligent Fat Predictor: Leveraging Linear Regression and K Nearest Neighbors in Obesity diseases.
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Enhancing Rice Crop Health through Computational Intelligence-Based Disease Detection
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Ranking and Evaluation Risks of Human Error Factors in Uncertain and Imprecision Information
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Neutrosophic MCDM Model for Assessment Factors of Wearable Technological Devices to Reduce Risks and Increase Safety: Case Study in Education
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The Digital Revolution in Trade Finance: Exploring The Impact of Smart Blockchain-Based Letters of Credit On E-business Transactions
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Deep Learning Framework of Convolutional Neural Network (CNN) and Attention CNN for Early Diagnosis of Alzheimer's Disease
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Extreme Gradient Boosting (XGBoost) and Support Vector Machine (SVM) models for Hepatitis C Prediction
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A Multi-Layer Perceptron (MLP) Neural Networks for Stellar Classification: A Review of Methods and Results
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Linear Regression and K Nearest Neighbors Machine Learning Models for Person Fat Forecasting
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Wind Turbine Prediction using Deep Learning and Long Short Term Memory (LSTM)
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Neutrosophic MCDM Model for Evaluation and Selection best 5G Network Architecture
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Neutrosophic Multi-Criteria Decision Making COMET Method for Evaluation Sustainable Electricity Generation Considering Renewable Energy Sources
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Neutrosophic Combinative Distance-based Assessment (CODAS) Method for Evaluating the Financial and Operational Performance of Shipping Companies
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Industry 5.0: Theoretical Foundations for Enabling Technologies and Applications in Manufacturing Context
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Digital Twin: An Investigation of the Characteristics, Visions, Challenges, and Opportunities
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A comparison study Big Data Analytics Methods for Selecting Suitable Method
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Metaheuristic Optimization for Enhancing Cyber Security Index Prediction: A DTO+FGW Approach with MLP Integration
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Enhancing Malware Detection in Cybersecurity through Optimized Machine Learning Technique
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Enhancing Information Fusion from UAV-Captured High-Altitude Infrared Imagery through Machine Learning
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Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study
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A Novel Framework for Enzyme Substrate Detection using Multi-Label Information Fusion
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Computational Intelligence Methodology based on Neutrosophic Set with Multi-Criteria Decision Making for Evaluating Natural Gas Automobiles
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Farmland Fertility Optimization with Deep Learning based COVID-19 Detection for Healthcare Decision Making
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Intelligent Data Processing and Mining of Histopathological Images using Improved Tunicate Swarm Algorithm with Deep Learning
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Design of Long Short Term Memory Based Deep Learning Model for Customer Churn Prediction in Business Intelligence
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Leveraging Stochastic Gradient Descent with Deep Learning Model for Financial Distress Prediction
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Whale Optimization Algorithm with Deep Learning based Indoor Monitoring of Elderly and Disabled People
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Enhancing Healthcare Data Classification: Leveraging Machine Learning on ChatGPT-Generated Datasets
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Quantum Sparrow Swarm Optimization with Deep Learning Enabled Deception Detection on Facial Micro Expressions
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Gorilla Troops Optimizer with Deep Learning-based Multi-Criteria Decision Making for Traffic Analysis in V2X Networks
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Optimal Deep Learning-Based Image Classification for IoT-Enabled UAVs in Remote Sensing Applications
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Enhanced Wetland Classification using Deep Learning based Fusion Approach on Multi-Source Remote Sensing Images
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A Review on the Neutrosophic Number Theory Based Cryptography and Neutrosophic Public Key Crypto-Systems
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Decision-Making Model for Robot Selection Application using Neutrosophic Sets
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Multi-Criteria Decision-Making Methodology for Sustainable Crop Selection
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On Two New Algorithms for Solving Mixed Integer Linear Programming Problems and Their Applications
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Towards Efficient Hyperspectral Object Detection and Classification using Thermal Optimization Algorithm with Deep Learning
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Deep Learning Driven Automated Red Palm Weevil Detection Using Sparrow Search Optimization
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Algorithms for Cybersecurity in CAVs Based On Deep Learning and Their Applications
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On The Computational Properties of 3-Cyclic and 4-Cyclic Refined Matrices and the Diagonalization Algorithm
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Revolutionizing Unmanned Aerial Vehicle Imagery Classification: A Deep Learning Approach Empowered by Computer Vision
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An Effective Workload Prediction with Rnn-Lstm For Efficient Resource Autoscaling In Private Cloud Environments
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Enhancing Financial Fraud Detection using Temporal Patter Mining Technique
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Hybrid Stochastic-Deterministic Path Planning Based Robotic Navigation Analysis
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Realtime Traffic Enhancement using Intelligent Route Optimization for Dynamic Logistics
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Optimal Bayesian Neural Network based Decision Support System for Mitotic Nuclei Detection on Histopathologic Imaging
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Integration of Business Process Web Services Using BPEL and QoS Optimization for Effective Composition
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Knowledge-Based Decision Support System for Selecting Optimal Web Services Based on QoS Attributes for Business Process Composition
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Automated Insect Detection and Classification using Pelican Optimization Algorithm with Deep Learning on Internet of Enabled Agricultural Sector
Volume 1
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Issue 2
Volume 2
Issue 1
Issue 2
Volume 3
Issue 1
Issue 2
Volume 4
Issue 1
Issue 2
Volume 5
Issue 1
Issue 2
Volume 6
Issue 1
Issue 2
Volume 7
Issue 1
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