Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering

ICACIE 2021
Herausgegeben:Pati, Bibudhendu; Panigrahi, Chhabi Rani; Mohapatra, Prasant; Li, Kuan-Ching

• Broschiertes Buch

Produktbeschreibung

This book gathers high-quality research papers presented at the 6th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2021) organized by Bhubaneswar Institute of Technology, Bhubaneswar, Odisha, India, during December 23-24, 2021. It includes sections describing technical advances and the latest research in the fields of computing and intelligent engineering. Intended for graduate students and researchers working in the disciplines of computer science and engineering, the proceedings also appeal to researchers in the field of electronics, as they cover hardware technologies and future communication technologies.

Produktdetails

• Lecture Notes in Networks and Systems 428
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-19-2224-4
• 1st ed. 2023
• Seitenzahl: 732
• Erscheinungstermin: 22. September 2022
• Englisch
• Abmessung: 235mm x 155mm x 40mm
• Gewicht: 1089g
• ISBN-13: 9789811922244
• ISBN-10: 9811922241
• Artikelnr.: 63611292

Autorenporträt

Dr. Bibudhendu Pati is Associate Professor in the Department of Computer Science at Rama Devi Women's University, Bhubaneswar, India. He received his Ph.D. degree from IIT Kharagpur. Dr. Pati has 23 years of experience in teaching, research, and industry. His areas of research include wireless sensor networks, cloud computing, big data, Internet of Things, and networks virtualization. He is Life Member of the Indian Society of Technical Education (ISTE), and Senior Member of IEEE, Member of ACM, and Life Member of Computer Society of India (CSI). He has published several papers in leading international journals, conference proceedings, and books. He is associated with organizing different reputed international conferences. Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at the Rama Devi Women's University, Bhubaneswar, India. Dr. Panigrahi has received her doctoral degree from Indian Institute of Technology Kharagpur, India. Her research interests include software testing and mobile cloud computing. She has more than 20 years of teaching and research experience, and has published several scholarly articles in reputed journals and conferences of international repute. Dr. Panigrahi is Author of a text book and a few edited books. She is Life Member of the Indian Society of Technical Education (ISTE) and Member of IEEE and the Computer Society of India (CSI). Prof. Prasant Mohapatra is serving as Vice Chancellor for Research at University of California, Davis. He is also Professor in the Department of Computer Science and served as Dean and Vice-Provost of Graduate Studies during 2016-18. He was Department Chair of Computer Science during 2007-13. In the past, Dr. Mohapatra has also held Visiting Scientist positions at Intel Corporation, Panasonic Technologies, Institute of Infocomm Research (I2R), Singapore, and National ICT Australia (NICTA). Dr. Mohapatra received his doctoral degree from Penn State University in 1993, and received an Outstanding Engineering Alumni Award in 2008. He is also the recipient of Distinguished Alumnus Award from the National Institute of Technology, Rourkela, India. Dr. Mohapatra received an Outstanding Research Faculty Award from the College of Engineering at the University of California, Davis. He received the HP Labs Innovation awards in 2011, 2012, and 2013. He is Fellow of the IEEE and Fellow of AAAS. Dr. Mohapatra's research interests are in the areas of wireless networks, mobile communications, cybersecurity, and Internet protocols. He has published more than 350 papers in reputed conferences and journals on these topics. Dr. Mohapatra's research has been funded through grants from the National Science Foundation, US Department of Defense, US Army Research Labs, Intel Corporation, Siemens, Panasonic Technologies, Hewlett Packard, Raytheon, and EMC Corporation. Prof. Kuan-Ching Li is Professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan. He has been Vice-Dean for the Office of International and Cross-Strait Affairs (OIA) at the same university since 2014. Prof. Li is the recipient of awards from Nvidia, the Ministry of Education (MOE)/Taiwan and the Ministry of Science and Technology (MOST)/Taiwan, and also guest professorships from various universities in China. He received his Ph.D. from the University of Sao Paulo, Brazil in 2001. His areas of research include networked and graphics processing unit (GPU) computing, parallel software design, and performance evaluation and benchmarking. He has edited 2 books: Cloud Computing and Digital Media and Big Data published by CRC Press. He is Fellow of the IET, Senior Member of the IEEE, and Member of TACC.

Inhaltsangabe

Part 1: Machine Learning Applications in Healthcare.- Chapter 1. Respiratory Disease Diagnosis with Cough Sound Analysis.- Chapter 2. A Deep Learning based Model for Arrhythmia Detection using Feature selection and Machine Learning Methods.- Chapter 3. Epilepsy Prediction using Time Series Classifiers.- Chapter 4. YUDH: Multi Utility Tool to reassure serenity in the Covid-19 pandemic.- Chapter 5. Easy Detect - Web Application for Symptom Identification and Doctor Recommendation.- Chapter 6. Role of Machine Learning Approaches in Predicting COVID-19 New active cases using Multiple Models.- Chapter 7. An Overview of Applications of Machine Learning During Covid 19.- Chapter 8. Design and Implementation of wearable cap for Parkinson's Population.- Chapter 9. A Survey on Applications of Machine Learning Algorithms in Healthcare.- Chapter 10. Anomaly Detection of Unstructured Logs Generated from Complex Micro-service based Architecture using one-class SVM.- Part 2: Advanced Computer Networks, IoT, and Security.- Chapter 11. Lightweight Model for Waifu Creation using Deep Convolutional Generative Adversarial Network (DCGAN).- Chapter 12. An Efficient Service Recommendation with Spatial-Temporal Aware QoS Prediction Mechanism in Cloud Computing Environment.- Chapter 13. PUASIoT: Password-Based User Authentication Scheme for IoT Services.- Chapter 14. Random connected graph generation for wireless sensor networks.- Chapter 15. A Novel application of HPSOGWO trained ANN in non linear channel Equalization. etc.

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Part 1: Machine Learning Applications in Healthcare.- Chapter 1. Respiratory Disease Diagnosis with Cough Sound Analysis.- Chapter 2. A Deep Learning based Model for Arrhythmia Detection using Feature selection and Machine Learning Methods.- Chapter 3. Epilepsy Prediction using Time Series Classifiers.- Chapter 4. YUDH: Multi Utility Tool to reassure serenity in the Covid-19 pandemic.- Chapter 5. Easy Detect - Web Application for Symptom Identification and Doctor Recommendation.- Chapter 6. Role of Machine Learning Approaches in Predicting COVID-19 New active cases using Multiple Models.- Chapter 7. An Overview of Applications of Machine Learning During Covid 19.- Chapter 8. Design and Implementation of wearable cap for Parkinson’s Population.- Chapter 9. A Survey on Applications of Machine Learning Algorithms in Healthcare.- Chapter 10. Anomaly Detection of Unstructured Logs Generated from Complex Micro-service based Architecture using one-class SVM.- Part 2: Advanced Computer Networks, IoT, and Security.- Chapter 11. Lightweight Model for Waifu Creation using Deep Convolutional Generative Adversarial Network (DCGAN).- Chapter 12. An Efficient Service Recommendation with Spatial-Temporal Aware QoS Prediction Mechanism in Cloud Computing Environment.- Chapter 13. PUASIoT: Password-Based User Authentication Scheme for IoT Services.- Chapter 14. Random connected graph generation for wireless sensor networks.- Chapter 15. A Novel application of HPSOGWO trained ANN in non linear channel Equalization. etc.