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Applications of Artificial Intelligence and Machine Learning

Editorial Board
Lead Guest Editors:
  • Manik Sharma (DAV University, India)+ BioManik Sharma is an MCA, UGC-NET qualified and has received his Ph.D. degree in “Distributed Query Optimization” from IKG Punjab Technical University, Kapoorthala, India. Dr. Sharma is currently working as an Assistant Professor in the Department of Computer Science and Applications, DAV University Jalandhar, India. Dr. Sharma has 15 years of teaching and research experience. His research interests include Machine Learning, Optimization Techniques, Health Informatics and Smart Systems. The thrust area is to design a smart and innovative artificial intelligence based Clinical Decision Support System for the effective management of major human psychological disorders. Dr. Sharma authored/coauthored over 50 International Journal articles, Conference Proceedings, and Book Chapters. Dr. Sharma is serving as an Associate Editor for IEEE Access, BMC Public Health, and Journal of Medical Imaging and Health Informatics. He is also serving as a reviewer for various international Journals including IEEE, Springer, Elsevier, MDPI, and SAGE publications. Moreover, he served as the member of International Program Committees, Technical Program Committees, and Advisory Committees of several academics conferences (United Kingdom, Singapore, Mauritius, Thailand, Vietnam, USA, Hong Kong, Canada, UAE, and India).
Aims & Scope
Recent development in artificial intelligence and machine learning has lead to advancement in a range of smart and intelligent systems. These emerging technologies such as machine learning, Internet of Things, nature-inspired computing and pervasive computing are assisting in designing better smart and artificial intelligent system for variety of domain such as healthcare, agriculture, banking, finance, test processing, optimization problems etc. This special issue is aiming to invite original and novel contributions and the state-of-the-art research along with exhaustive review on the challenges related to the need and design of smart and intelligent systems designed using these three technologies.
  • Emerging applications of Artificial Intelligence
  • Role of AI and Machine Learning in Healthcare, Agriculture, Banking, Mechanical and Electronics Industry
  • Design and role of machine learning and AI in designing innovative frameworks in different domains areas
  • Role of Data Mining and Data Science in Industry
  • Deep Learning and Big Data Analytics
  • Fuzzy Logic and Rough Set Theory
  • Applications of nature-inspired computing techniques, IoT and Machine Learning
  • Need and applications of energy optimization
  • Applications of emerging nature-inspired computing techniques in Bioinformatics and Bio-Engineering
  • Fuzzy application recognition and diagnostics
  • Nature inspired computing techniques and feature selection
  • Data mining & Information retrieval
  • Design and performance analysis of sentiment analyzer using machine learning and natures inspired computing techniques
  • Convergence of machine learning, IoT and nature inspired computing techniques in for designing Artificial Intelligence applications
Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication of special issue (tentative):

Scalable Information Systems
Submission Closed