This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at fourth PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that helps them in formulating problems of interest. The academicians can also benefit to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.

Autorentext

Himansu Das works as Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has received Ph.D. in engineering degree from Veer Surendra Sai University of Technology (VSSUT), Odisha. He has received M.Tech. degree in computer science and engineering from the National Institute of Science and Technology, Odisha. He has also received B.Tech. degree from the Institute of Technical Education and Research, Odisha, India. He has published several research papers in various international journals and has presented at conferences. He has also edited several books published by IGI Global, Springer, CRC press, and Elsevier. He has also served on many journals and conferences as Editorial or Reviewer Board Member. He is also associated with various educational and research societies such as IET, IACSIT, ISTE, UACEE, CSI, IAENG, and ISCA.

Chittaranjan Pradhan received the bachelor's, master's, and Ph.D. degrees from the discipline of computer science and engineering. He is currently working as Associate Professor with the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has got a total of 15 years of academic teaching experience with more than 80 publications in reputed peer reviewed journals, edited books and conferences of national and international repute. He has published few books published by publishers, like LAP Lambert, IGI Global, and Elsevier. His research interests include information security, image processing, deep learning, and multimedia systems. He is also Member of various national and international professional societies in the field of engineering and research, such as IET, IACSIT, CSI, ISCA, IAENG, and ISTE.

Surbhi Bhatia is Doctorate in computer science and engineering in the area of machine learning and social media analytics. She earned project management professional certification from reputed Project Management Institute, USA. She is currently working as Assistant Professor in the Department of Data Science, School of Science, Engineering and environment, University of Salford, Manchester, United Kingdom. She has more than 10 years of academic and teaching experience in different universities. She has published many papers in reputed journals and conferences in high indexing outlets. She has published 10 international patents from India, Australia, and USA and also authored and edited around 12 books. Her area of interest is information systems, artificial intelligence, and data science.

Kuan-Ching Li is a Life Distinguished Professor at Providence University. He holds distinguished and chair professorships from various universities around the world and has received awards and funding support from multiple agencies and high-tech companies. In addition to publishing over 500 journal articles, book chapters, and refereed conference papers, he has co-authored or co-edited more than 50 technical books published by CRC Press/Taylor & Francis, Springer, and McGraw-Hill. Professor Li is the Editor-in-Chief of the International Journal of Computational Science and Engineering and the International Journal of Embedded Systems, published by Inderscience. He also serves as an associate editor, editorial board member, and guest editor for several leading journals, and also chair positions at high-quality conferences. His research interests include parallel and distributed computing, Big Data, and emerging technologies. He is a Senior Member of the IEEE and a Fellow of the IET.

Inhalt

The Application of Machine Learning and Deep Learning Algorithms for Estimation of Software Development Effort (SDE).- BMI Indexing Based Predictive Analysis of Early Age Obesity for U5 Children.- Detection of Cyber Attacks from Malicious URLs using Ensemble Machine Learning Techniques.- Latency Aware Performance Enhancement in Serverless Computing.- Intelligent Multi-Fault Diagnostic System for Shaft-Bearing Systems Integrating AI, IoT, and Cloud Computing.