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Journal of Artificial Intelligence and Metaheuristics
ISSN (Online)
2833-5597
Volumes
View the Free-to-Download Articles
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Hybrid Neural Networks in Generic Biometric System: A Survey
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Improving the Regression of Communities and Crime Using Ensemble of Machine Learning Models
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New Approach of Estimating Sarcasm based on the percentage of happiness of facial Expression using Fuzzy Inference System
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Survey on Design of Digital FIR Filters using Optimization Models
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Energy Efficiency Modeling Using Whale Optimization Algorithm and Ensemble Model
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Classification of Student Performance Based on Ensemble Optimized Using Dipper Throated Optimization
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Credit Card Clients Classification Using Hybrid Guided wheel with Particle Swarm Optimized for Voting Ensemble
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Removing Powerline Interference from EEG Signal using Optimized FIR Filters
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Building An Intelligent Security System for Preventing Child Abduction
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Improving the Regression of Air Quality Using Ensemble of Machine Learning Models
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Automatic Speech Recognition for Qur’an Verses using Traditional Technique
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Watermarking Models and Artificial Intelligence
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Machine Learning-based Model for Talented Students Identification
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Arrhythmia Modern Classification Techniques: A Review
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Evaluating the Effect of Optimized Voting Using Hybrid Particle Swarm and Grey Wolf Algorithm on the Classification of the Zoo Dataset
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Metaheuristic Optimized Voting Ensemble for Recognizing Daily and Sports Activities
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Literature Review and Novel Trends of Mobile Edge Computing for 5G and Beyond
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Smart Garbage Monitoring System using IoT
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Weather Forecasting over Iraq Using Machine Learning
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Solving the Inverse Initial Value Problem for the Heat Conductivity Equation by Using the Picard Method
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Design of Antenna Parameters Using Optimization Techniques: A Review
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Auto-ASD Detector: Exploiting Computational Intelligence for autism spectrum disorders Detection in Children via Facial Analysis
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Metaheuristic Optimization Review: Algorithms and Applications
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Solar Tracking System Using pixel identification algorithm
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From Data to Diagnosis: Applied Machine Learning for Stroke Prediction in Computational Healthcare
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A Data-Driven Approach for Obesity Classification using Machine Learning
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A Deep Learning Approach Visual Recognition of Bird Species in Noisy Environments
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Automated Detection and Segmentation of COVID-19 Infection using Machine Learning
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A Smart Solution for Sustainable Cotton Farming: A Machine Learning Approach for Visual Recognition of Leaf Diseases
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Prediction Of Diseases in Smart Healthcare System Using Machine Learning
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Tapping into Knowledge: Ontological Data Mining Approach for Detecting Cardiovascular Disease Risk Causes Among Diabetes Patients
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Bridging the Gap: An Explainable Methodology for Customer Churn Prediction in Supply Chain Management
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Interpreting the Incomprehensible: Benchmarking Visual Explanation Methods for Deep Convolutional Networks
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Visualizing the Unseen: Exploring GRAD-CAM for Interpreting Convolutional Image Classifiers
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Mining Sematic Association Rules from RDF Data
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A Comparative Analysis of Methods for Detecting and Diagnosing Breast Cancer Based on Data Mining
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Utilizing Artificial Intelligence to Provide Intelligent Control of Traffic Lights
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PAPR Reduction in OFDM System Using Metaheuristic Algorithm
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Navigating the Storm: Cutting-Edge Risk Mitigation and Analysis for Volatile Markets
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Identification of Cardiovascular Disease Risk Factors Among Diabetes Patients using ontological Data Mining Techniques
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Fingerprint Recognition Using Deep Learning - A Review
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Detection of Breast Cancer Based on Feature Extraction Using WPSO in Conjunction with CNN
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Data Mining Techniques in Predictive Medicine: An Application in hemodynamic prediction for abdominal aortic aneurysm disease
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Advancing Communication for the Deaf: A Convolutional Model for Arabic Sign Language Recognition
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A Semantic Approach for Extracting the Medical Association Rules
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A Novel Long Short-Term Memory (LSTM) Deep Learning IoT Method for Lung Cancer Prediction and Detection
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Deep Learning Algorithms for Smart Cars: A Survey
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Electrocardiogram Comparison as a Biometric Identifier: A Review
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Monthly Solar Prediction Using Machine Learning: Diyala Governorate, Iraq as a Case Study
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Medical Image Classification for Monkeypox Case using Deep Learning Algorithms: A Survey
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Solving Initial Value Problem in Composite Materials for Heat Equation
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Optical Character Recognition System for Digit Recognition Using Deep Learning
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Develop application for prediction COVID-19 using artificial intelligence
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An Optimized Architecture for COVID‑19 Prediction Using Chest X‑Ray Images
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CNN-Based Multiclass Classification for COVID-19 in Chest X-ray Images
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An Evaluation of ARIMA and Persistence Models in IoT-Driven Smart Homes
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Advancing Parking Space Surveillance using A Neural Network Approach with Feature Extraction and Dipper Throated Optimization Integration
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Evaluating the Efficacy of Deep Learning Architectures in Predicting Traffic Patterns for Smart City Development
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Integrated CNN and Waterwheel Plant Algorithm for Enhanced Global Traffic Detection
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BER-XGBoost: Pothole Detection based on Feature Extraction and Optimized XGBoost using BER Metaheuristic Algorithm
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Cardiac Bioengineering Analysis of Electrophysiological Signals Driven by Deep Learning
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Optimizing Student Performance Prediction Using Binary Waterwheel Plant Algorithm for Feature Selection and Machine Learning
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Exploring Predictive Models for Students' Performance in Exams: A Comparative Analysis of Regression Algorithms
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The Applications of Digital Transformation Towards Achieving Sustainable Development Goals: Practical Case Studies in Different Countries of the World
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Advances and Challenges in Feature Selection Methods: A Comprehensive Review
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Exploring Optimization Algorithms: A Review of Methods and Applications
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Advancements and Future Directions in Machine Learning for Medical Diagnostics: A Comprehensive Review
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CO2 Emissions Forecasting Using Time Series Analysis and Metaheuristic Optimization for Environmental Sustainability
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Exploratory Data Analysis of International Student Demographics: Trends, Insights, and Implications
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Predicting Student Outcomes: Evaluating Regression Techniques in Educational Data
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Predictive Modeling of Global Educational Outcomes: A Comparative Analysis Using Machine Learning Regression Techniques
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Securing DNS over HTTPS: A Machine Learning Study on Traffic Classification Using DoHBrw-2020
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An AI-Based System for Predicting Renewable Energy Power Output Using Advanced Optimization Algorithms
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A Comprehensive Review on Optimizing Machine Learning Models for Early Detection and Forecasting of Monkeypox Outbreaks
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Football Optimization Algorithm (FbOA): A Novel Metaheuristic Inspired by Team Strategy Dynamics
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Ocotillo Optimization Algorithm (OcOA): A Desert-Inspired Metaheuristic for Adaptive Optimization
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Weather Prediction: Predicting Rain Using Weather Conditions
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Comparative Analysis of Machine Learning Models for Daytime Power Generation Prediction
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Smart Home Energy Management through ARIMA Model Forecasting: Leveraging Weather Data for Improved Efficiency
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Heart Attack Diagnosis System Based on Artificial Intelligence and Optimization Algorithms
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Advances in Machine Learning for Predicting and Detecting Influenza Outbreaks: A Review
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Harnessing AI for Accurate Detection and Prediction of Ebola Virus Epidemics
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Optimizing accuracy rate of Detection of COVID-19: A Machine Learning approach
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Predictive Analysis of Groundwater Resources Using Random Forest Regression
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Developing A Hybrid Machine Learning Algorithm for Anemia Diagnosis
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K-Nearest Neighbors Approach to Analyze and Predict Air Quality in Delhi
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Lung Cancer Prediction from Smoking Cause by Machine Learning Classification Models
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Comparative Analysis of Machine Learning Models for Daytime Power Generation Prediction
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An Efficient Detection of Copy-Move Forgery Using Phase Correlation
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Hybrid Ensemble Learning for Flow-Level IoT Traffic Classification Using ACI Dataset: Towards Scalable and Real-Time Threat Detection
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Real-Time Violence Detection in Smart Cities Using Lightweight Spatiotemporal Deep Learning Models
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Interpretable Rainfall Forecasting Using SHAP-Enhanced Machine Learning: A Case Study on U.S. Urban Climate Data (2024–2025)
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Multi-Classification of Brain Tumor MRI Images Hybrid VGG16 Support Vector Machine Model
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LightGBM-Driven Earthquake Magnitude Prediction: A Comparative Machine Learning Framework Using Global Seismic Data
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
Issue 2
Volume 8
Issue 1
Issue 2
Volume 9
Issue 1
Issue 2
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