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thampi sabu m. (curatore); gelenbe erol (curatore); atiquzzaman mohammed (curatore); chaudhary vipin (curatore); li kuan-ching (curatore) - advances in computing and network communications

Advances in Computing and Network Communications Proceedings of CoCoNet 2020, Volume 2

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Lingua: Inglese


Pubblicazione: 06/2022
Edizione: 1st ed. 2021


This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Computing and Network Communications (CoCoNet'20), October 14–17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge Computing, Distributed Systems, Machine Intelligence, Data Analytics, Cybersecurity, Artificial Intelligence and Cognitive Computing and Circuits and Systems. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.


Part 1: Machine Learning, Visual Computing and Signal Processing.- Chapter 1. Computational Reconstructions of Extracellular Action Potentials and Local Field Potentials of a Rat Cerebellum using Point Neurons.- Chapter 2. Iris Recognition using Integer Wavelet Transform and Log Energy Entropy.- Chapter 3. Deep Learning Based Approach for Skin Burn Detection with Multi-level Classification.- Chapter 4. Semantic Retrieval of Microbiome Information Based on Deep Learning.- Chapter 5. Early Detection of Covid-19 on CT Scans Using Deep Learning Techniques.- Chapter 6. Towards Protein Tertiary Structure Prediction using LSTM/BLSTM.- Chapter 7. An Android Based Smart Home Automation System in Native Language.- Chapter 8. Live Acoustic Monitoring of Forests to Detect Illegal Logging and Animal Activity.- Chapter 9. CATS: Cluster-Aided Two-Step Approach for Anomaly Detection in Smart Manufacturing.- Chapter 10. Prediction of Energy Consumption using Statistical and Machine Learning Methods and Analysing the Significance of Climate and Holidays in the Demand Prediction.- Chapter 11. Ranking of Educational Institutions based on user priorities using AHP-PROMETHEE Approach.- Chapter 12. Using AUDIT Scores to Identify Synbiotic Supplement Effect in High Risk Alcoholics.- Chapter 13. Accurate Identification of Cardiac Arrhythmia using Machine Learning Approaches.- Chapter 14. Learning based Macro Nutrient Detection Through Plant Leaf.- Chapter 15. Characteristics of Karawitan Musicians' Brain: sLORETA Investigation.


Sabu M. Thampi is Professor at the Indian Institute of Information Technology and Management-Kerala (IIITM-K), Technopark Campus, Trivandrum, India. His current research interests include cognitive computing, Internet of Things (IoT), authorship analysis, trust management, biometrics, social networks, nature-inspired computing and video surveillance. He has published papers in book chapters, journals and conference proceedings. He has authored and edited a few books. Sabu has served as Guest Editor for special issues in few journals and a program committee member for many international conferences and workshops. He has co-chaired several international workshops and conferences. He has initiated and is also involved in the organization of several annual conferences/symposiums. Sabu is currently serving as Editor for Elsevier Journal of Network and Computer Applications (JNCA), Connection Science, Taylor Francis, Associate Editor for IEEE Access and International Journal of Embedded Systems, Inderscience, UK, and Reviewer for several reputed international journals. Sabu is a senior member of IEEE and ACM. He is Founding Chair of ACM Trivandrum Professional Chapter. 

Erol Gelenbe is a Turkish-French computer scientist, electronic engineer and applied mathematician who is professor in Computer-Communications at Imperial College. Known for pioneering the field of modelling and performance evaluation of computer systems and networks throughout Europe, he invented the random neural network and the eponymous G-networks. His many awards include the ACM SIGMETRICS Life-Time Achievement Award, and the in Memoriam Dennis Gabor Award of the Hungarian Academy of Sciences. Working as a foreigner everywhere, Gelenbe was born in Istanbul in 1945, to Yusuf Ali Gelenbe, a descendant of the 18th-century Ottoman mathematician Gelenbevi Ismail Efendi, and to Maria Sacchet Gelenbe from Cesiomaggiore, Belluno, Italy. After a childhood spent in Istanbul and Alexandria (Egypt), He graduated from Ankara Koleji in 1962 and the Middle East Technical University in 1966, winning the K.K. Clarke Research Award for work on "partial flux switching magnetic memory systems". Awarded a Fulbright Fellowship, he continued his studies at Polytechnic University, where he completed a master's degree and a PhD thesis on "Stochastic automata with structural restrictions", under the supervision of Edward J. Smith. After graduation he joined the University of Michigan as an assistant professor. In 1972, and then on leave from Michigan, he founded the Modeling and Performance Evaluation of Computer Systems research group at INRIA (France), and was a visiting lecturer at the University of Paris 13 University. In 1971 he was elected to the second chair in Computer Science at the University of Liège, where he joined Professor Danny Ribbens in 1973, while remaining a research director at INRIA. In 1973, he was awarded a Doctorat d'État ès Sciences Mathématiques from the Paris VI University with a thesis on "Modèlisation des systèmes informatiques", under Jacques-Louis Lions. He remained a close friend of Professor Ribbens and of the University of Liège, and in 1979, he moved to the Paris-Sud 11 University, where he co-founded the Laboratoire de Recherche en Informatique and its PhD Program, before joining Paris Descartes University in 1986 to found the Ecole des Hautes Etudes en Informatique.Gelenbe became New Jersey State Endowed Professor at the New Jersey Institute of Technology from 1991 to 1993, and from 1993 and 1998 he was chaired professor and head of Electrical and Computer Engineering at Duke University. From 1998 to 2003 at the University of Central Florida, he founded the Department (School) of Electrical Engineering and Computer Science and developed the Harris Corporation Engineering Centre. In 2003, Gelenbe joined Imperial College London as Dennis Gabor Professor in Computer and Communication Networks and Head of Intelligent Systems and Networks. In 2016 he joined Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice Poland.

Gelenbe has contributed pioneering research concerning the performance of multiprogramming computer systems, virtual memory management, data base reliability optimisation, distributed systems and network protocols. He formed, led, and trained the team that designed the commercial QNAP Computer and Network Performance Modeling Tool. He introduced the Flexsim Object Oriented approach for the simulation in manufacturing systems. He carried out some of the first work on adaptive control of computer systems, and published seminal papers on the performance optimisation of computer network protocols and on the use of diffusion approximations for network performance. He developed new product form queueing networks with negative customers and triggers known as G-networks. He also introduced a new spiked stochastic neural netwo

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Condizione: Nuovo
Collana: Lecture Notes in Electrical Engineering
Dimensioni: 235 x 155 mm Ø 955 gr
Formato: Brossura
Illustration Notes:XX, 611 p. 275 illus., 205 illus. in color.
Pagine Arabe: 611
Pagine Romane: xx

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