Workshop 2:
Machine Learning with AI: Opportunities' and their Challenges
Summary:
Adaptation and innovation are extremely important to the manufacturing industry. This development should lead to sustainable manufacturing using new technologies. To promote sustainability, smart production requires global perspectives of smart production application technology. In this regard, thanks to intensive research efforts in the field of artificial intelligence (AI), a number of AI-based techniques, such as machine learning, have already been established in the industry to achieve sustainable manufacturing. Thus, the aim of the present research was to analyse, systematically, the scientific literature relating to the application of artificial intelligence and machine learning (ML) in industry. In fact, with the introduction of the industry 4.0, artificial intelligence and machine learning are considered the driving force of smart factory revolution. The purpose of this review was to classify the literature, including publication year, authors, scientific sector, country, institution, and keywords A major objective to drive innovation in every aspect of Artificial Intelligent. It offers researchers, educators and students the opportunity to discuss and share ideas on topics, trends and developments in the fields of artificial intelligence, machine learning, deep learning and more, big data and computer science, computer intelligence and Technology. It aims to bring together experts from various disciplines to emphasize the dissemination of ongoing research in the fields of science and computing, computational intelligence, schema recognition and information retrieval. Its aims to provide a forum for researchers from both academia and industry to share their latest research contributions in the area of computing technologies and Data Sciences and thus to exchange knowledge with the common goal of shaping the future..
Keywords:
Extraction of Data from any Medium, regarding Information, Detection, Fake Detection, Health Analysis Based on HealthCare data
Chair:
Dr. Rahul Deo Sah Dr. Shyama Prasad Mukherjee University Ranchi, India
Dr. Rahul Deo Sah got his Ph.D. in Computer Sc. and Application. Currently Dr Sah is working as Assistant Professor in Dept. Computer Application and Information Technology, Dr Shyama Prasad Mukherjee University Ranchi Jharkhand. Sah is a Life member of Computer Society of India, and Indian Science Congress, India. He is the Member of Research Foundation of India. Dr. Sah is also the RFI chapter Head of Jharkhand State. Dr. Sah a Life member of InSc, India. He has authored around twenty-Five articles in different International/National journals and conferences. He has guided UG, PG and Research Scholars. Dr. Sah has Editor of one Book. He has Authored 02 books chapter in Springer. Dr Sah got International Award for Think Tank in Technical Education on 3rd Janua ry 2020. Dr. Sah has been selected for The World's Prestigious "Global Educational Award 2020" on Teacher’s Day Special Award - 2020 - BEST ACADEMICIAN for their outstanding excellence and remarkable achievements in the field of Teaching, Research and Publications by ESN Publications, Chennai. The 3 rd International Award as a Young Scientist Award-2022 by IJIEMR SSRN Elsevier-Awards-2022 He is a coordinator of STP IIT BOMBAY, Dr. SPM University Ranchi and that is also resource center of the university. He has given talk in different Workshops / FDPs / Seminars. Dr Sah has organized many Workshops at university level. Dr. Sah has been chaired Special Sessions in different IEEEs and Springer International/National Conferences.