|SUBMIT AN ARTICLE|
|FOCUS AND SCOPE|
|PEER REVIEW PROCESS|
|PUBLISHING PROCESS FLOW|
Focus and Scope
- Artificial Intelligence and Machine Learning
This section covers research on various aspects of artificial intelligence (AI) and machine learning (ML), including algorithms, models, techniques, and applications. It encompasses topics such as deep learning, reinforcement learning, natural language processing, computer vision, and data mining.
- Computer Vision and Image Processing
This section focuses on research related to computer vision and image processing techniques. It includes areas such as image recognition, object detection, image segmentation, image enhancement, and pattern recognition.
- Natural Language Processing
This section covers research on natural language processing (NLP), which involves the interaction between computers and human language. It includes topics such as language understanding, sentiment analysis, machine translation, text summarization, and dialogue systems.
- Robotics and Autonomous Systems
This section encompasses research on robotics and autonomous systems. It includes topics such as robot perception, motion planning, robot control, human-robot interaction, swarm robotics, and autonomous vehicles.
- Intelligent Systems and Applications
This section focuses on the development and applications of intelligent systems. It covers topics such as expert systems, knowledge representation, decision support systems, intelligent agents, and applications in various domains like healthcare, finance, manufacturing, and transportation.
- Optimization Techniques
This section includes research on optimization techniques applied to computer systems and artificial intelligence. It covers topics such as evolutionary algorithms, swarm intelligence, genetic algorithms, metaheuristic optimization, and optimization in machine learning and data mining.
- Ethical and Social Implications of AI
This section addresses the ethical and social implications of artificial intelligence. It covers topics such as AI ethics, fairness and bias in AI systems, privacy concerns, transparency, accountability, and the impact of AI on society, including issues related to employment, education, and governance.
- Emerging Trends in AI and Computer Systems
This section focuses on emerging trends and advancements in the field of artificial intelligence and computer systems. It covers topics such as quantum computing, edge computing, explainable AI, AI for Internet of Things (IoT), AI in cybersecurity, and other emerging technologies and applications.
The journal welcomes original research articles, review papers, case studies, and technical notes that contribute to the advancement of knowledge in the aforementioned areas.