International Journal of Artificial Intelligence and Machine Learning (IJAIML)

Submit a Paper to the International Journal of Artificial Intelligence and Machine Learning (IJAIML)

Editor-in-Chief: Maki K. Habib (The American University in Cairo, Egypt)
Published Continuous Volume. Est. 2019.
The International Journal of Artificial Intelligence and Machine Learning (IJAIML) provides a forum on the study of living systems intelligence, human level cognition and artificial systems, self-learning algorithms, and machines that exhibit intelligent autonomous behavioral characteristics. Additionally, it seeks to deliver the most up-to-date research on techniques, technologies and algorithms supporting machine learning. Presenting researchers and practitioners with access to explore the developments of bioinspired or human-like forms of systems, IJAIML promotes research in emerging disciplines of artificial life and machine learning to improve and comprehend real-world problems. This journal publishes all concepts, theories, systems, technologies and procedures that exhibit properties, phenomena, or abilities of any living system or human.
ISSN: 2642-1577|EISSN: 2642-1585|DOI: 10.4018/IJAIML
Submit a Manuscript to IJAIML
The International Journal of Artificial Intelligence and Machine Learning (IJAIML) provides a forum on the study of living systems intelligence, human level cognition and artificial systems, self-learning algorithms, and machines that exhibit intelligent autonomous behavioral characteristics. Additionally, it seeks to deliver the most up-to-date research on techniques, technologies and algorithms supporting machine learning. Presenting researchers and practitioners with access to explore the developments of bioinspired or human-like forms of systems, IJAIML promotes research in emerging disciplines of artificial life and machine learning to improve and comprehend real-world problems. This journal publishes all concepts, theories, systems, technologies and procedures that exhibit properties, phenomena, or abilities of any living system or human.

Mission

The mission of the International Journal of Artificial Intelligence and Machine Learning (IJAIML) is to investigate the interdisciplinary hybrid nature involved in scientific, engineering, psychological, and social issues in synthetic life-like behavior and abilities. IJAIML publishes high-quality original research and review articles in theoretical and applied aspects of artificial intelligence and machine learning to address complex and dynamic issues in nature and demand complex information processing abilities to be emulated, recreated, and synthesized. Since computer and modeling form the basic tool in scientific research, the frontiers of computer and modeling connected with humanistic systems is one area of interest. The meaningful representation and manipulation of knowledge on computer of human intelligence and human language like the evolving development in soft computing, fuzzy sets, fuzzy logic, semantic networks, probabilistic and Bayesian reasoning, evidence theory, classical and mutli-value logic, and evolutionary operation with neural network and support vector machine are emphasized.

Coverage

Computational Techniques
  • Generative AI and Machine Learning Architectures
  • Data-driven Models and Predictive Analysis
  • Deep learning techniques
  • Neuro-computing
  • Probabilistic reasoning
  • Soft computing and fuzzy inference

Biologically-Inspired Approaches
  • Biologically-inspired Computation and Engineering
  • Brain-computer interface and intelligent adaptive behavior
  • Nature-inspired Intelligence

Evolutionary and Genetic Systems
  • Evolutionary Systems and Applications
  • Genetic algorithms and programming

Intelligent Systems and Interactions
  • Intelligent Mapping and Dynamic Environment Navigation
  • Human-machine interaction
  • Intelligent and learning theory
  • Intelligent autonomous and adaptive agents
  • Intelligent manufacturing and management

Advanced Modeling and Environments
  • Cellular automata
  • Cognitive intelligence and modeling
  • Computational intelligence
  • Computational linguistics
  • Computational statistics
  • Computer vision
  • Emergence theory
  • Emotional intelligence and modeling
  • Evolutionary art and music
  • Evolutionary learning and systems
  • Evolutionary robotics and algorithms

Human-Centric Systems and Interfaces
  • Human-machine interaction
  • Intelligent planning and scheduling
  • Knowledge representation
  • Learning algorithms
  • Machine Learning supporting different architecture
  • Modeling, estimation, and inference
  • Models of living-system Behavior and social organization
  • Multi-agent systems and simulation
  • Nature, intelligence, and bio-inspiration
  • Obstacle avoidance in a dynamic environment
  • Speech analysis and recognition
  • Metaheuristics and optimization techniques
  • Swarm intelligence and swarming behaviors
  • Virtual worlds, Augmented Reality, and Metaverse

Sustainability and New Energy
  • AI for Sustainable Resource Management
  • Predictive Models for Renewable Energy Sources
  • Smart Grids and Energy Distribution
  • Environmental Monitoring and Conservation Using AI
  • Climate Change Modeling and Mitigation with ML
  • Waste Management and Recycling Optimization using AI

Cutting-Edge Technologies
  • Quantum Computing and AI
  • Blockchain and Distributed Ledger Technologies in AI
  • AI in Nanotechnology and Advanced Materials
  • Edge Computing and AI for IoT
  • 5G and Beyond: AI in Advanced Communication Systems

Mainstream Applications of AI and ML
  • Biomedical and Disease-related Machine Learning
  • Autonomous Vehicles and Intelligent Transportation Systems
  • Financial and Economic Forecasting using ML
  • Natural Language Processing in Customer Service
  • Supply Chain Optimization and Predictive Maintenance
  • Smart Cities and Urban Planning Using AI
  • Entertainment, Media, and Content Generation through AI
  • Agriculture and Climate Modeling Using ML
  • Education and Personalized Learning through AI
  • Retail and E-commerce Personalization using AI
  • Energy Management and Smart Grids with ML
  • Social Media Analysis and User Behavior Prediction


Submission

Prospective authors should note that only original and previously unpublished article manuscripts will be considered. Interested authors must consult the Journal Guidelines for Manuscript Submission at https://www.igi-global.com/publish/contributor-resources/journal-guidelines-for-submission/?titleid=225011 PRIOR to submission. Any further questions may be answered at https://www.igi-global.com/publish/contributor-resources/before-you-write/. All article manuscript submissions will be forwarded to at least three members of the editorial review board of the journal for a double-blind peer review. The final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers.

Starting January 1st, 2021, this journal will be converting from Hybrid Open Access to full Gold Open Access, meaning from January 1st, 2021 onward all of its published contents will be 100% open access and the copyright of the published work will stay with the author(s) ((Note: IGI Global open access journal article manuscript publishing offers authors the Creative Commons Attribution 4.0 International (CC BY 4.0) licensing arrangement. The copyright for the work remains solely with the author(s) of the article manuscript), and the publisher will provide the published contents free of charge globally (there will no longer be subscription fees or payment of any kind required for individuals and libraries to access and utilize the published contents).

Once the journal is converted to Gold Open Access in 2021 and will no longer have subscription revenue backing it, the journal will be heavily reliant on Open Access Article Processing Charges (APCs) payment provided by either the author(s) or his/her/their respective institution or another funding agency, AFTER the article manuscript submission has been through a full double-blind peer review and the Editor-in-Chief at his/her full discretion has decided to accept the manuscript based on the results of the double-blind peer review process. The APC will offset the costs of all of the activities associated with the publication of the article manuscript, including the digital tools used to support the manuscript management and review process, the typesetting, formatting and layout, online hosting, the submission of the journal’s content to numerous abstracts, directories, and indexes, third party software (plagiarism checks), editorial support which includes manuscript tracking, communications, submission guideline checks, communications with authors and reviewers, as well as all promotional support and activities which includes metadata distribution, press releases, promotional communications, web content, ads, fliers, brochures, postcards, etc. for the journal and its published contents; and the fact that all published articles will be freely accessible and able to be posted and disseminated widely by the authors.

The Article Processing Charge (APC) for this journal is currently set at $1,300 USD and authors will not be asked to provide payment of the APC fee (directly to the publisher) until AFTER their manuscript has gone through the full double-blind peer review process and the Editor-in-Chief at his/her full discretion has decided to accept the manuscript based on the results of the double-blind peer review process. Please note that there is absolutely NO correlation between the APC (Article Processing Charge) being paid by the author and the results of review process outcomes.

For more information on APCs and Open Access Publishing please visit IGI Global’s open access publishing page here, and also it is recommended to read the following article published by Web of Science, “A researcher’s complete guide to open access papers”.



All inquiries should be directed to the attention of:

Maki K. Habib
Editor-in-Chief
International Journal of Artificial Intelligence and Machine Learning (IJAIML)
Email: maki@aucegypt.edu

Submit a Manuscript to IJAIML