This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.

Autorentext

Dr. Goutam Sanyal has served as the Head of the Department of Computer Science & Engineering at the National Institute of Technology (NIT) Durgapur, India. He received B. Tech. and M.Tech. from NIT, Durgapur, and Ph.D. (Engg.) from Jadavpur University, Kolkata, in robot manipulator path planning. He holds over 35 years of experience in the field of teaching, research, and administration. He has published nearly 200 papers in reputed international journals and conferences. He has guided 22 Ph.D. scholars in steganography, wireless sensor networks, computer vision, natural language processing. He has supervised more than 40 PG and 300 UG theses. He is a co-author of a book in Computer Graphics and Multimedia and 8 Book chapters. He is a regular Member of IEEE, a Life Member of CSI, and a Fellow of IEI. His biography has been selected for inclusion in Marquis Who's Who in the World 2016, 2017, 2018, 2019, and 2020 Edition.

Carlos M. Travieso-González is a Full Professor of signal processing and pattern recognition and head of the signals and communications department at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain, and a Ph.D. degree in 2002 at ULPGC. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched 51 international and Spanish research projects. He has 04 authored books, 24 edited books, 440 journal papers, and 07 patents in Spanish Patent and Trademark Office published to his credit. He has been a supervisor on 8 Ph.D. Thesis (12 more are under supervision), and 130 Master Thesis.

Dr. Shashank Awasthi is a professor in the computer science and engineering department of GL Bajaj Institute of Technology & Management, India. He holds a Ph.D. degree in Computer Science & Engineering and M.Tech. in Computer Science & Engineering from Dr. APJ Kalam Technical University, Lucknow, and MCA from Dr. BR Ambedkar University Agra. His area of interest is wireless sensor networks. He is having more than 18 years of experience in teaching and research. He has published over 30 research papers in international journals/conferences of repute. He is a member of IEEE and the International Association of Engineers, Hong Kong. He is a member of the Editorial Board of various reputed International Journals.

Carla M.A. Pinto is an adjunct professor at the school of engineering at Polytechnic of Porto. She completed her Doctorate in Mathematics in 2004 from Universidade do Porto Faculdade de Ciências, Portugal. Prof. Pinto published over 46 articles in high-impact peer-review journals and more than 50 in international peer-reviewed conferences. She works in the area of applied mathematics with a focus on epidemiology and robotics.

B.R. Purushothama obtained his Ph.D. in computer science and engineering from the National Institute of Technology (NIT) Warangal, India, and his M.Tech. in computer science and engineering from the NIT Surathkal, India. He is currently working as an assistant professor of computer science and engineering at NIT Goa, India. He has academic experience of over 16 years. His areas of interest are cryptography & information security, security analytics, cloud security, machine learning applications to Security. He has published several works in peer-reviewed journals and proceedings.

Inhalt

Smart Grid and Net Metering Impact in Current Scenario of Power System.- Machine Learning Based Approach for Myocardial Infarction.- Joyful Jaccard: An Analysis of Jaccard-based Similarity Measures in Collaborative Recommendations.- An Improved Reversible Data Hiding Technique for Encrypted Images Using Difference Error Expansion.- Assessment of Image Quality Metric by the means of Various Preprocessing Filters for Lung CT Scan Images.- A New Approach for Acute Lymphocytic Leukemia Identification Using Transfer Learning.- A Hybrid Machine Learning Approach for Customer Segmentation Using RFM Analysis.- AMD-net: Automatic Medical Diagnoses using Retinal OCT Images.- Performance Interpretation of Supervised Artificial Neural Network Highlighting Role of Weight and Bias for Link Prediction.- Using Big Data Analytics on Social Media to Analyze Tourism Service Encounters.