Topics

International Journal of Artificial Intelligence, Data Science, and Machine Learning (IJAIDSML) welcomes original research articles, review papers, case studies, and technical notes on a wide range of topics.


Adaptive Autonomous Robots

Agent-based Systems and Modeling

Agricultural Engineering

Agriculture and Food Security

AI and Data Science in Education

AI and ML in Finance

AI and Robotics in Agriculture

AI Ethics, Fairness, and Explainability

AI in Mental Health

AI in Robotics and Automation

AI in Telemedicine

Applications of Data Science in Business, Healthcare, and Environmental Studies

Automated Analytical Model Building

Autonomous Cars Navigation and Dynamic Environments

Bigdata Analytics and Visualization

Big data and Data Mining

Biologically-inspired Computation & Engineering

Biomedical Engineering

 Brain Computer Interface and Intelligent Behavior

Cloud-based Analytics

Computational Intelligence

Computational Linguistics

Computational Statistics

 Computer Vision and Image Processing

Consumer Electronics and IoT

Cybersecurity

Data Engineering

Data Engineering and Data Management

Data Mining and Pattern Recognition

Data Science in Climate and Sustainability

Data Visualization

Deep Learning Architectures and Techniques

Deep Learning Techniques

Deepfake Technology

Digital Twins in Healthcare

Drug discovery and Development

E-commerce and Recommender Systems

Emotional Intelligence and Modeling

Evolutionary Learning and Systems

Evolutionary Robotics

Explainable AI (XAI)

Federated Learning and Edge AI

Financial Technology (FinTech)

Genetic Algorithms

Genetic Programming

Geospatial Data Science

Healthcare and Precision Medicine

Healthcare Engineering

Human Machine Interaction

Knowledge Representation and Reasoning

Latency Optimization

Logic-based AI Systems

Machine learning on IoT devices

ML Applications in Smart Systems and IoT

Natural Language Processing (NLP)

Neural Evolution

Neural Networks and Transfer Learning

Neuro-computing

Optimization Algorithms for ML

Personalized Medicine and Genomics

Quantum Computing

Regenerative Medicine

Reinforcement Learning and Decision Systems

Smart Manufacturing and Automation

Soft Computing and Fuzzy Inference

Space Exploration

Speech analysis and recognition

Statistical Modeling

Statistical Modeling and Predictive Analytics

Stochastic Optimization

Supervised, Unsupervised, and Semi-Supervised Learning

Swarm intelligence and swarming behaviors

Text Mining and Analysis

Time-Series Analysis

Transportation and Autonomous Vehicles

 Virtual Worlds