Intelligent Systems and Sustainable Computing
Proceedings of ICISSC 2022
1st Edition
Published on 2. October 2023
XVI, 571 pages
978-981-99-4717-1 (ISBN)
Description
This book is a collection of best selected research papers presented at Second International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2022), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 16-17, 2022. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing and signal processing and communication.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVI, 571 p. 279 illus., 234 illus. in color.
File size
18,66 MB
ISBN-13
978-981-99-4717-1 (9789819947171)
DOI
10.1007/978-981-99-4717-1
Schweitzer Classification
Other editions
Additional editions
V. Sivakumar Reddy | V. Kamakshi Prasad | Jiacun Wang
Intelligent Systems and Sustainable Computing
Proceedings of ICISSC 2022
Book
10/2023
Springer
€299.59
Shipment within 3-4 weeks
Persons
V. Sivakumar Reddy is an alumnus of Indian Institute of Technology, (IIT) Kharagpur and obtained his Ph.D., and he is versatile in multidisciplinary specializations in signal processing and communications as well as computer science engineering. His laurels include more than 150 publications in reputed national and international conferences and journals. He is a fellow of IETE, life member of ISTE, member of IEEE and member of CSI. He was awarded as "Best Teacher" in three consecutive academic years with citation and cash award. He is the recipient of "India Jewel Award" for outstanding contribution to research in the field of engineering and technology. He is the Education Fellowship Awardee from British Council, UK, to visit England, Scotland, Wales and Ireland countries for analyzing the education system in UK. He is an accomplished academician, renowned speaker and visiting professor to various universities in UK and Malaysia.
V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science and Technology at Andhra University in 1992. He has more than 30 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad hoc networks and computer graphics. He has published several books, chapters, research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees.
Jiacun Wang received a Ph.D. in Computer Engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently a professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to 2004, he was a member of scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate at the School of Computer Science, Florida International University (FIU) at Miami, and an associate professor at NJUST. He has published numerous books and research papers and is an associate editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair and a program committee member for several international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000.
Naga Mallikarjuna Rao Dasari is currently working as a professor in Faculty of Science and Technology, Federation University @IIBIT, Australia. He obtained his Ph.D. in Computer Science at University of South Australia, Australia, and Master of Technology at Jawaharlal Nehru Technological University, India. He has more than 30 years of teaching and research experience. He has experience in developing mathematical models, designing and developing algorithms and data analysis and expertise in computational techniques, computer networks. He published more than 15 reputed journal papers in computation, networking principles and graph theoretical analysis. He has experience in designing computational methodologies to solve engineering problems.
V. Kamakshi Prasad completed his Ph.D. in speech recognition at the Indian Institute of Technology Madras and his M.Tech. in Computer Science and Technology at Andhra University in 1992. He has more than 30 years of teaching and research experience. His areas of research and teaching interest include speech recognition and processing, image processing, pattern recognition, ad hoc networks and computer graphics. He has published several books, chapters, research papers in peer-reviewed journals and conference proceedings. He is also an editorial board member of the International Journal of Wireless Networks and Communications and a member of several academic committees.
Jiacun Wang received a Ph.D. in Computer Engineering from Nanjing University of Science and Technology (NJUST), China, in 1991. He is currently a professor at the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to 2004, he was a member of scientific staff at Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate at the School of Computer Science, Florida International University (FIU) at Miami, and an associate professor at NJUST. He has published numerous books and research papers and is an associate editor of several international journals. He has also served as a program chair, a program co-chair, a special sessions chair and a program committee member for several international conferences. He is the secretary of the Organizing and Planning Committee of the IEEE SMC Society and has been a senior member of IEEE since 2000.
Naga Mallikarjuna Rao Dasari is currently working as a professor in Faculty of Science and Technology, Federation University @IIBIT, Australia. He obtained his Ph.D. in Computer Science at University of South Australia, Australia, and Master of Technology at Jawaharlal Nehru Technological University, India. He has more than 30 years of teaching and research experience. He has experience in developing mathematical models, designing and developing algorithms and data analysis and expertise in computational techniques, computer networks. He published more than 15 reputed journal papers in computation, networking principles and graph theoretical analysis. He has experience in designing computational methodologies to solve engineering problems.
Content
Air pollution detection and prediction using moving average in Indian cities.- Implementation of ResNet-50 with the skip connection principle in transfer learning models for lung disease prediction.- Performance Analysis of American Sign Language using Wavelet Transform & CNN.- Image Transmission in Underwater through Li-Fi.- Leaf disease identification with multi-label classification of various plants using dense CNN model.- Enhancing the MANET AODV forecast of a broken link with LBP.- Educational Innovation Using Augmented Reality: Systematic Literature Review.- A Current Survey Trends on Child Safety Devices Using IoT.- Intelligent Children Safety and Security Wearable Shield using IoT.- Software Defects Prediction using Machine Learning Algorithms.- FARMERS MARKET-Agricultural Marketing and Management System to Connect Farmers to Retailers.- Driver Drowsiness Detection System based on Behavioral Method, Biological Method and Vehicular Feature based Method -A Review.- A Virtual Machine Protection Framework against Compromised Hypervisor in Cloud Computing.- SVM vs KNN: Prediction of Best Image Classifier.
