Global Journal on Innovation, Opportunities and Challenges in Applied Artificial Intelligence and Machine Learning

ISSN: 2581-5156 (online)

Global Journal on Innovation, Opportunities and Challenges in Applied Artificial Intelligence and Machine Learning has been conceptualized for effective dissemination and promulgation of original research in all fields of Applied Artificial Intelligence and Machine Learning. With a relentless pursuit of excellence, it aims at providing immaculate and superior research material, thus fostering the spirit of non-conformity, experimentation and de novo intellection among researchers in different parts of the world.

GJIOCAAIML strives ardently to present inceptive, innovative and invaluable research developments, both application oriented and theoretical, in all possible domains of Applied Artificial Intelligence and Machine Learning to a broad audience of academic researchers and industry practitioners in all major faculties - research and development, management, strategic planning, purchasing, design & styling, marketing, human resources etc.

Ingeniousness and research impaction are the main parameters for evaluation of theoretical papers. Applications based on advanced theory and case studies aid in bridging the gap between theory and practice, and are particularly welcome.

General approaches, formalism's, algorithms or techniques should be complemented with lucid illustrations allowing easy comprehension and subsequent suitable applicability. Although the main emphasis of GJIOCAAIML is on original research papers, theoretical and integrative review articles, book reviews, and high-quality position papers are also published to keep readers up-to-date on the latest ideas, designs, and developments in these allied fields. Special review articles will be granted consideration based on the stage of evolvement of their respective fields.

Although there is no restriction on the length of contributions, brevity will always be preferred. Brief articles will merit attention depending on their technical proficiency.

Discussions of previously published papers are also welcome.

Focus & Scope

The focus and scope of Global Journal on Innovation, Opportunities and Challenges in Applied Artificial Intelligence and Machine Learning has been categorized as follows:

Applied Artificial Intelligence:

• Applied Artificial Intelligence
• AI and Evolutionary Algorithms
• Automated Problem Solving
• Brain Models
• Brain Mapping
• Bioinformatics
• Computing and the Mind
• Cognitive Science
• Constraint-Based Reasoning and Constraint Programming
• DNA Computing
• Decision Support Systems
• Distributed AI Algorithms and Techniques
• Distributed AI Systems and Architectures
• Evaluation of AI Tools
• Evolutionary Inspired Computing
• Emerging Technologies
• Foundations of AI
• Fuzzy Logic and Soft Computing
• Heuristic Searching Methods
• Integration of AIwith Other Technologies
• Intelligent Web
• Intelligent Information Fusion
• Intelligent Information Systems
• Intelligent Data Mining and Farming
• Intelligent Web-Based Business
• Intelligent Agents
• Intelligent Networks
• Intelligent Databases
• Intelligent User Interface
• Intelligent Tutoring Systems
• Knowledge Discovery
• Knowledge Representation
• Knowledge Acquisition
• Knowledge-Intensive Problem Solving Techniques
• Knowledge Networks and Management
• Languages and Programming Techniques for AI
• Learning and Adaptive Sensor Fusion
• Multi-sensor Data Fusion Using Neural and Fuzzy Techniques
• Neuro-informatics
• Non-Classical Computing
• Novel Computing Models
• Natural Computing
• Neural Networks and Applications
• Natural Language Processing
• Philosophy and AI
• Pervasive Computing and Ambient Intelligence
• Quantum Computing
• Robotics
• Reasoning Strategies
• Search and Meta-Heuristics
• Social Intelligence (Markets and Computational Societies)
• Social Impact of AI
• Software Tools for AI
• Soft Computing Theory and Applications

 Machine Learning:

• Automated Reasoning and Logic Programming
• Adaptive Systems
• Business Intelligence
• Biometrics
• Bioinformatics
• Data and Web Mining
• Derivative-Free Optimisation Algorithms
• Computational Life Science
• Emotional Intelligence
• Evolutionary and Swarm Algorithms
• Evolutionary Computation
• Ensemble Method
• Fuzzy Set Theory
• Fuzzy Control and System
• Financial Engineering
• Geo-Informatics
• Hybridisation of Intelligent Models/Algorithms
• Hybrid and Nonlinear System
• Intelligent Agent
• Intelligent Search
• Intelligent Planning
• Information Fusion
• Inductive Learning
• Information Retrieval
• Intelligent and Knowledge Based System
• Intelligent Control
• Knowledge Management
• Logistics
• Media Computing
• Neural Computing
• Networking and Information Security
• Neural Net and Support Vector Machine
• Pattern Recognition
• Parallel and Distributed Realisation of Intelligent Algorithms/Systems
• Rough and Fuzzy Rough Set
• Visual Information Processing
• Visual/Linguistic Perception