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Read MoreJournal of Artificial Intelligence,
Machine Learning and Data Science (JAIMD) is an
international, peer-reviewed, open access online journal on all aspects of
artificial intelligence, machine learning and data science published quarterly.
Aim & Scope
Aim: This journal aims to provide
scholarly input to the debate of the future impact of AI on society, as well as
to host a forum in which research in AI focused on social good can be
presented. JAIMD is designed to meet the needs of a wide range of AI
researchers in academic and industrial research.
Scope: The scope of
the journal extends to the application of intelligent systems in industry,
medicine, and daily life. JAIMD covering a wide range of issues from the
tools and languages of artificial intelligence (AI) to philosophical
implications. The journal provides a vigorous forum for the publication of both
theoretical and experimental research, as well as surveys and impact studies.
Categories of contributions accepted for the journal are research
articles, reviews, debates, short communications, reviews of books,
perspectives.
In order to reach the worldwide community of artificial intelligence (AI), the Journal of Artificial Intelligence, Machine Learning & Data Science (JAIMD) is dedicated to rapid dissemination of important research results.
Sebastian Ifeanyi Obeta 1* , Dr Enrico Grisan 2, Chinazor Vivian Kalu 3
Publication Date: 20 January 2023
Zihan Wang1, Jian Wang1 and Yongjian Sun1*
Publication Date: 09 February 2023
Moshood Yahaya1*, Alex Umagba1, Sebastian Obeta1, Takao Maruyama1
Publication Date: 01 March 2023
Chuanhao Wang 1, Yongjian Sun *2, Xiaohong Wang 3
Publication Date: 10 March 2023
Wei Wang 1, Jian Wang 1, Yongjian Sun*1
Publication Date: 23 March 2023
Multi-agent systems, automated reasoning, constraint processing and search, knowledge representation, machine learning, natural language, robotics and vision, and uncertainty in AI, cognition and AI, ...
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Learning Model-based Clustering Modelling High-Dimensional, Complex Data Natural Language Processing, Text Mining Optimization in Classification, Clustering Symbolic Data Analysis Applications of the ...
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Secure federated learning with real-world applications, Big data analytics and its impact on marketing strategy, Impact of big data on business decision-making, Implementing big data to understand con...
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Text and speech processing, speech recognition, optical character recognition (OCR), speech segmentation, text-to-speech, word segmentation, natural-language understanding, and natural-language genera...
Read More... | Submission open
Robot ethics, Machine ethics, Ethics principles of artificial intelligence, Transparency, accountability, and open source, Bias and discrimination in AI, Privacy and security issues in AI, The impact ...
Read More... | Submission open
Intelligent Control and Applications for Robotics; Industrial Robotics; Automation; Robotic devices and systems; Design and Control; Optimal design of systems for material processing; Real-time algori...
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Aviation Safety; Astrodynamics and Celestial Mechanics; Machine Learning and Optimal Control to Aerospace Systems; Advancements in Unmanned Aerial Vehicles; Advanced Guidance and Control of Hypersonic...
Read More... | Submission open
Imbalanced Big Data; Applications in imbalanced domains; data-partition; Geometric-SMOTE; deep learning; intelligent data analysis; pattern recognition; data mining; cost-sensitive learning; Class imb...
Read More... | Submission open
Reinforcement Learning in robotics manipulation; Real-Life Applications of Reinforcement Learning; Applications in self-driving cars; Industry automation with Reinforcement Learning; Reinforcement Lea...
Read More... | Submission open
Explainable machine learning; Interpretable machine learning; Model interpretability; Model-agnostic techniques; Internet of Things (IoT) systems; Rare event prediction; Extreme event prediction; Feat...
Read More... | Submission open
Deep learning technologies; Applications of deep learning in software; Applications of deep learning in hardware; Caption generation; Cognitive architectures; Intelligent agents; Narrative intelligenc...
Read More... | Submission open
The applications of machine learning in radiotherapy, chemotherapy, endoscopic images, laryngoscopic images, MRI, CT imaging; Genomic sequence determinations and analysis of gene expression patterns; ...
Read More... | Submission open
Predictive Medicine, Clinical Decision Support, Drug Discovery, Imaging Analysis, Electronic Health Records, Clinical Trials, Telemedicine, Genomic Analysis, Precision Medicine, Public Health Surveill...
Read More... | Submission open
Editor
Professor of Computer Science, Chair of International relations.
Specialization:
Image and video analysis, artificial intelligence in multimedia and healthcare.
Editor
Associate Professor
Specialization:
Software agents and agent systems, application of semantic technologies, high performance computing, parallel computing, computational mathematics
Editor
Professor
Specialization:
Adaptive Learning, Multiagent Systems, Multiagent Systems. Artificial Intelligence in Education, Multi-agent Systems, Reinforcement Learning, Virtual Reality, and Algorithm Design and Analysis.
Editor
Professor
Specialization:
Wireless sensor networks, vehicular networks, smart grids.
Editor
Professor
Specialization:
Machine Learning, Statistical Learning, Information-theoretic methods, Probabilistic Methods in AI, and theory and methods of Data Science (including teaching data science)
Editor
Data Scientist and NLP Engineer
Specialization:
Artificial Intelligence, Computer Vision, Natural Language Processing
Editor
Chair Professor
Specialization:
Cryptography, Security in Mobile Communications and Computing, Steganography, Database and Data Security, Computer Networks and Network Security, Bioinformatica.
Editor
Assistant Professor
Specialization:
AI and IoT Security, Security in Cloud Computing application / Social Network / Collaborative Computing.
Associate Editor
Research Assistant
Specialization:
Image Fusion, Remote Sensing, Medical Image Analysis, Machine
Learning, and Deep Learning.
Editor
Professor at Nanjing University
Specialization:
His research includes stochastic processes related optimization and Pareto optimal control/game, admission/scheduling/routing protocols and performance analysis/optimization
for BigData-Blockchain oriented quantum-cloud computing and wireless/wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and
their applications to queueing systems, Internet of Things, energy and power engineering.
Editor
Professor
Specialization:
Underwater wireless sensor networks
Editor
Professor
Specialization:
Image Processing, Neural networks, Genetic algorithms, Wavelet, Fuzzy set theory, Internet computing, Image Encryption, Computer Security, Software Quality assurance, E-Learning & e-Commerce, Telemedicine and Telehealth, E-SCM, Business Intelligence.
Topic Editor
Associate Professor
Specialization:
Software Engineering and Business Intelligence
Prof. Dr. Manas Ranjan Pradhan, Ph.D.
Editor
Associate Professor
Specialization:
Artificial Intelligence, Machine Learning, Datamining, Data warehouse, Big data Analytics, IoT, Bioinformatics and Molecular Computing
Prof. Dr. Arti Jain (SMIEEE, IAENG, INSTICC, IFERP, TERA)
Editor
Assistant Professor (Sr. Grade)
Specialization:
Natural Language Processing, Machine Learning, Data Science, Deep Learning, Social Media Analysis, Soft Computing, Big Data, and Data Mining