This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25-26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.…mehr
This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25-26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.
Xin-She Yang obtained his D.Phil. in Applied Mathematics from the University of Oxford and subsequently worked at the Cambridge University and the National Physical Laboratory (UK) as Senior Research Scientist. He is currently Reader in Modelling and Optimization at Middlesex University London and Adjunct Professor at Reykjavik University (Iceland). He is also Elected Bye-Fellow at the Cambridge University and IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management. He was included in the "2016 Thomson Reuters Highly Cited Researchers" list. R. Simon Sherratt was born near Liverpool, England, in 1969. He is currently Professor of Biosensors at the Department of Biomedical Engineering, University of Reading, UK. His main research area is signal processing and personal communications in consumer devices, focusing on wearable devices and health care. Professor Sherratt received the 1st place IEEE Chester SallMemorial Award in 2006, the 2nd place in 2016 and the 3rd place in 2017. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He has authored/edited more than 75 books with Springer, Elsevier, Wiley and CRC Press and published more than 300 peer-reviewed research papers. Dr. Dey is Editor-in-Chief of the International Journal of Ambient Computing and Intelligence; Series Co-Editor of Springer Tracts in Nature-Inspired Computing (STNIC); and Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier. Amit Joshi is Director of the Global Knowledge Research Foundation and the International Chair of InterYIT at the International Federation of Information Processing (IFIP, Austria). He has edited more than 40 books for Springer, ACM and other reputed publishers. He has also organized more than 50 national and international conferences and workshops in association with the ACM, Springer and IEEE in, e.g. India, Thailand and the UK.
Inhaltsangabe
Techniques of Time Series Modeling in Complex Systems.- Examining the Server's Load Average when Trying to Attack the Firewall.- Block Chain as a Technology Contributor: A Survey.- An Achievement of Learning a Solar System Model with Electric Motor Rotation via Control System on Smartphone.- GeLaP: German Labeled Dataset for Power Consumption.- Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions.- RPL-OC: Extension of RPL Protocol for LLN Networks based on the Operator Calculus approach.- Evaluating Challenges in Using Big Data in Healthcare.- Hardware Control of the Electron Beam Energy Density by the Heating Spot.- A Machine Learning Model for Predicting Fetal Haemoglobin Levels in Sickle Cell Disease Patients.
Techniques of Time Series Modeling in Complex Systems.- Examining the Server’s Load Average when Trying to Attack the Firewall.- Block Chain as a Technology Contributor: A Survey.- An Achievement of Learning a Solar System Model with Electric Motor Rotation via Control System on Smartphone.- GeLaP: German Labeled Dataset for Power Consumption.- Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions.- RPL-OC: Extension of RPL Protocol for LLN Networks based on the Operator Calculus approach.- Evaluating Challenges in Using Big Data in Healthcare.- Hardware Control of the Electron Beam Energy Density by the Heating Spot.- A Machine Learning Model for Predicting Fetal Haemoglobin Levels in Sickle Cell Disease Patients.
Techniques of Time Series Modeling in Complex Systems.- Examining the Server's Load Average when Trying to Attack the Firewall.- Block Chain as a Technology Contributor: A Survey.- An Achievement of Learning a Solar System Model with Electric Motor Rotation via Control System on Smartphone.- GeLaP: German Labeled Dataset for Power Consumption.- Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions.- RPL-OC: Extension of RPL Protocol for LLN Networks based on the Operator Calculus approach.- Evaluating Challenges in Using Big Data in Healthcare.- Hardware Control of the Electron Beam Energy Density by the Heating Spot.- A Machine Learning Model for Predicting Fetal Haemoglobin Levels in Sickle Cell Disease Patients.
Techniques of Time Series Modeling in Complex Systems.- Examining the Server’s Load Average when Trying to Attack the Firewall.- Block Chain as a Technology Contributor: A Survey.- An Achievement of Learning a Solar System Model with Electric Motor Rotation via Control System on Smartphone.- GeLaP: German Labeled Dataset for Power Consumption.- Smart Platform Designed to Improve Poultry Productivity and Reduce Greenhouse Gas Emissions.- RPL-OC: Extension of RPL Protocol for LLN Networks based on the Operator Calculus approach.- Evaluating Challenges in Using Big Data in Healthcare.- Hardware Control of the Electron Beam Energy Density by the Heating Spot.- A Machine Learning Model for Predicting Fetal Haemoglobin Levels in Sickle Cell Disease Patients.
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