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This book focuses on theory, practice and applications in the broad areas of advanced computing techniques and intelligent engineering. This book includes 74 scholarly articles which were accepted for presentation from 294 submissions in the 5th ICACIE during 25–27 June 2020 at Université des Mascareignes (UdM), Mauritius, in collaboration with Rama Devi Women’s University, Bhubaneswar, India, and S‘O’A Deemed to be University, Bhubaneswar, India. This book brings together academicians, industry persons, research scholars and students to share and disseminate their knowledge and scientific…mehr
This book focuses on theory, practice and applications in the broad areas of advanced computing techniques and intelligent engineering. This book includes 74 scholarly articles which were accepted for presentation from 294 submissions in the 5th ICACIE during 25–27 June 2020 at Université des Mascareignes (UdM), Mauritius, in collaboration with Rama Devi Women’s University, Bhubaneswar, India, and S‘O’A Deemed to be University, Bhubaneswar, India. This book brings together academicians, industry persons, research scholars and students to share and disseminate their knowledge and scientific research work related to advanced computing and intelligent engineering. It helps to provide a platform to the young researchers to find the practical challenges encountered in these areas of research and the solutions adopted. The book helps to disseminate the knowledge about some innovative and active research directions in the field of advanced computing techniques and intelligent engineering, along with some current issues and applications of related topics.
Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at the Rama Devi Women’s University, Bhubaneswar, India. She received her Ph.D. degree in Computer Science & Engineering from IIT Kharagpur, India. Her current research interests include mobile cloud computing, machine learning, and software testing. She has more than 19 years of teaching and research experience. She has published several scholarly articles in journals and conferences of international repute. She is a life member of ISTE and member of IEEE.
Dr. Bibudhendu Pati is Head in the Department of Computer Science at Rama Devi Women's University (Only Govt. Women's University in the state of Odisha, India). He received his Ph.D. degree from Indian Institute of Technology Kharagpur, India. He has around 22 years of experience in teaching and research. His current research interests include cloud computing, big data, IoT and advanced network technologies. He has got several papers published in reputed journals, conference proceedings and books of international repute. He was invited to chair several international conferences. He is a life member of Indian Society for Technical Education, Computer Society of India, and a senior member of IEEE.
Dr. Binod Kumar Pattanayak completed M.S. in Computer Engineering in the year 1992 from Kharkov Polytechnical Institute, USSR and Ph.D. in Computer Science and Engineering from S'O'A (Deemed to be University), Bhubaneswar, India. Currently, he is working as Professor in the Department of Computer Science and Engineering at the Institute of Technical Education and Research under S'O'A (Deemed to be University), Bhubaneswar, India. He has to his credit around 100 research publications in journals and conferences of international repute. He has acted as Visiting Professor to Build Bright University, Phnom Penh, Cambodia, and Université des Mascareignes, Mauritius. His research interests include computer networking, IoT, cloud computing, compiler design and ad hoc networks.
Mr. Seeven Amic is Dean of the Faculty of Information and Communication Technology at Université des Mascareignes. He received his M.Sc. (Hons.) degree in Computer Engineering at the Kharkov Polytechnic Institute, Ukraine, in 1992 through a scholarship. In 1995, he joined the Swami Dayanand Institute of Management, now Université des Mascareignes, where he holds office as Senior Lecturer in the Department of Software Engineering at the Swami Dayanand Campus. His research areas are cryptology, cyber-security, metaheuristics, artificial intelligence and emerging technologies. He has a strong interest in experimental and collaborative research.
Prof. Kuan-Ching Li is currently Professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan. He was Vice-Dean for Office of International and Cross-Strait Affairs (OIA) in this same University since 2014. Prof. Li is Recipient of awards from Nvidia, Ministry of Education (MOE)/Taiwan and Ministry of Science and Technology (MOST)/Taiwan, as also guest professorship from different Universities in China. He got his Ph.D. from the University of Sao Paulo, Sao Paulo, Brazil, in 2001. His areas of research are networked and GPU computing, parallel software design and performance evaluation and benchmarking. He is a Fellow of the IET, a senior member of the IEEE and a member of TACC.
Inhaltsangabe
Forecasting Price of Indian Stock Market Using Supervised Machine Learning Technique.- Speaker Recognition using Noise Robust Features and LSTM-RNN.- Brain tumor segmentation using random walks from MRI images.- Factors accountable for diabetes using artificial intelligence in medico-care.- Sentiment Analysis Using Deep Learning for Recommendation in e-Learning Domain.- Forecasting of Daily Demand’s Order Using Gradient Boosting Regressor.- Image Data Preservation with Fractional Sine Transform and Dual Chaotic Sequence.- Developing a Framework for Generating Hotel Recommendation.- Entropy based Cluster Selection.- An IoT Based System Architecture for Environmental Monitoring.- Analysis of wind energy resources for the island of Mauritius using concepts of thermodynamics.- Digital Learning For Millenials: IT in Eduation and/or IT for Education.- The use of WhatsApp platform as an educational tool during confinement period of the outbreak of Covid-19.
Forecasting Price of Indian Stock Market Using Supervised Machine Learning Technique.- Speaker Recognition using Noise Robust Features and LSTM-RNN.- Brain tumor segmentation using random walks from MRI images.- Factors accountable for diabetes using artificial intelligence in medico-care.- Sentiment Analysis Using Deep Learning for Recommendation in e-Learning Domain.- Forecasting of Daily Demand's Order Using Gradient Boosting Regressor.- Image Data Preservation with Fractional Sine Transform and Dual Chaotic Sequence.- Developing a Framework for Generating Hotel Recommendation.- Entropy based Cluster Selection.- An IoT Based System Architecture for Environmental Monitoring.- Analysis of wind energy resources for the island of Mauritius using concepts of thermodynamics.- Digital Learning For Millenials: IT in Eduation and/or IT for Education.- The use of WhatsApp platform as an educational tool during confinement period of the outbreak of Covid-19.
Forecasting Price of Indian Stock Market Using Supervised Machine Learning Technique.- Speaker Recognition using Noise Robust Features and LSTM-RNN.- Brain tumor segmentation using random walks from MRI images.- Factors accountable for diabetes using artificial intelligence in medico-care.- Sentiment Analysis Using Deep Learning for Recommendation in e-Learning Domain.- Forecasting of Daily Demand’s Order Using Gradient Boosting Regressor.- Image Data Preservation with Fractional Sine Transform and Dual Chaotic Sequence.- Developing a Framework for Generating Hotel Recommendation.- Entropy based Cluster Selection.- An IoT Based System Architecture for Environmental Monitoring.- Analysis of wind energy resources for the island of Mauritius using concepts of thermodynamics.- Digital Learning For Millenials: IT in Eduation and/or IT for Education.- The use of WhatsApp platform as an educational tool during confinement period of the outbreak of Covid-19.
Forecasting Price of Indian Stock Market Using Supervised Machine Learning Technique.- Speaker Recognition using Noise Robust Features and LSTM-RNN.- Brain tumor segmentation using random walks from MRI images.- Factors accountable for diabetes using artificial intelligence in medico-care.- Sentiment Analysis Using Deep Learning for Recommendation in e-Learning Domain.- Forecasting of Daily Demand's Order Using Gradient Boosting Regressor.- Image Data Preservation with Fractional Sine Transform and Dual Chaotic Sequence.- Developing a Framework for Generating Hotel Recommendation.- Entropy based Cluster Selection.- An IoT Based System Architecture for Environmental Monitoring.- Analysis of wind energy resources for the island of Mauritius using concepts of thermodynamics.- Digital Learning For Millenials: IT in Eduation and/or IT for Education.- The use of WhatsApp platform as an educational tool during confinement period of the outbreak of Covid-19.
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