This book contains best selected research papers presented at ICTCS 2022: Seventh International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Chandigarh, India during 9 - 10 December 2022. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in two volumes.
This book contains best selected research papers presented at ICTCS 2022: Seventh International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Chandigarh, India during 9 - 10 December 2022. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in two volumes.
Dr. Amit Joshi is currently the Director of Global Knowledge Research Foundation, also an Entrepreneur & Researcher who has completed his Masters and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA and many other professional societies. Currently, Dr. Joshi is the International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria), He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer, IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt and many more. Dr. Mufti Mahmud received his PhD degree in Information Engineering (specialized in neuroengineering) from the University of Padova - Italy in 2011. A recipient of the Marie-Curie postdoctoral fellowship, Dr Mahmud has served at various positions in the industry and academia in India, Bangladesh, Italy, Belgium, and the UK during the last 17 years. Dr Mahmud aims to leave behind a healthy, secure, and smart world to live in. As an expert of neuroengineering, computational intelligence and data science, his research aims to build predictive, secure and adaptive systems for personalized services to improve quality of life through advancement of healthcare access in low-resource settings. A Senior Member of IEEE and ACM, and Professional Member of BCS, Dr Mahmud holds leadership roles at many technical committees, such as Vice Chair of the Intelligent System Application Technical Committee of IEEE Computational Intelligence Society, Member of the IEEE CIS Task Force on Intelligence Systems for Health, Co-Chair of the IEEE P2733 Standard on Intelligent systems design, with AI/ML, Member of the IEEE R8 Humanitarian Activities Subcommittee, and Project Liaison Officer of the IEEE UK and Ireland Special Interest Group on Humanitarian Technology. Dr Mahmud serves as an Associate Editor of the Cognitive Computation, IEEE Access, Brain Informatics, and Big Data Analytics journals. He also serves at many technical, programme and organisation committees of high-rank conferences including the local organising chair of IEEE- WCCI2020; general chair of BI2020; and programme chair of IEEE-CICARE2020. Dr. Roshan G. Ragel is a full professor in Computer Engineering at the University of Peradeniya, Sri Lanka. He is a skilled university lecturer and researcher with a doctorate in computer science and engineering and a passion for teaching, research and administration. His research interest is in the areas of fault-tolerant and dependable computing, accelerated and high-performance computing, wearable computing and synthesis of secure and reliable embedded processors. Prof. Ragel received his PhD in Computer Science and Engineering from the University of New South Wales, Australia in 2007 and his BSc in Engineering from the University of Peradeniya, Sri Lanka in 2001. He was appointed a Senior Lecturer in Computer Engineering at the University of Peradeniya December 2007 and a full professor since October 2017. Prof. Ragel has co-authored about 150 peer-reviewed articles in topics including Micro- Architectural Support for Reliability and Security in Embedded Processors (SoC), Internet of Things (IoT), Side-Channel Attacks and Countermeasures, Application Specific Processor Design, High-Performance Computing such as Hardware/Software Acceleration of Bioinformatics Algorithms, Wearable Computing, Format-Preserving Digitisation and OCR of Local Language Text, and Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHAs) in the Context of Mobile Applications. He has won several best paper awards in conference papers, the most prolific Sri Lankan author award from Elsevier Research in 2017 and the Presidential award for scientific publication in Sri Lanka in 2018.He was a visiting research scholar at the UNSW, Sydney a few times and UIUC, Illinois once. He is a Senior Member of the IEEE and the IEEE Computer Society.
Inhaltsangabe
Optimization Accuracy of Tweets for Coronavirus Pandemic using BERT Based CNN Model.- Deep Learning Neural Networks for Forecasting the Abrasive Wear in machining tools for Cryogenic treatment by process parameter optimization.- Real Time Indian Sign Language Detection.- Measuring Impact of Text Features and Image Features on Classifier's performance for Heterogeneous data formats.- Time delay approximation effect on open loop performance of a delayed industrial process model.- Enhancement Of The Effective Bandwidth Available To A Client Host In A Network By Using Multiple Network Devices Concurrently.- Enhanced dynamic source routing based on link capacity and queue optimization in MANET (DSR-LQ).- Statistical Analysis of Feature Selection and Clustering for Building the Optimised Drug Toxicity Prediction Model.- Towards GPU Accelerated Computation for Stock Prediction Based on News Headlines.- A Novel Approach for the Enterprise Hospital Management Application with Full Stack Development.- IoT-Based Platform for Smart Automobile System.- Improving Attitudes of Underrepresented High School Students towards STEM: A Virtual Summer Program.- Diabetic Eye Diseases Detection and Classification Using Deep Learning Techniques - A Survey.- A Review to Analyze Insider Threats Using Machine Learning Techniques.- Machine Learning Model for the Email Spam Detection with Data Mining Techniques.- Statistical Investigation of Smoking Patterns and Smoking Cessation Enthusiasm in Rural Areas of Jaipur.- A Smart Assistive Device for the Blind People.- Implementing Fog Computing Architecture using AWS IoT Greengrass.- Detection of Log4j attack in SDN Environment.- Green marketing and its effects on consumer behavior.- Complementing Malware Epidemic Agent Based Models with Routing Protocols of Communication Networks using NetLogo.- Machine Learning and Deep Learning Methods for the Detection of Schizophrenia using Magnetic Resonance Images and EEG Signals: An Overview of the Recent Advancements.
Optimization Accuracy of Tweets for Coronavirus Pandemic using BERT Based CNN Model.- Deep Learning Neural Networks for Forecasting the Abrasive Wear in machining tools for Cryogenic treatment by process parameter optimization.- Real Time Indian Sign Language Detection.- Measuring Impact of Text Features and Image Features on Classifier's performance for Heterogeneous data formats.- Time delay approximation effect on open loop performance of a delayed industrial process model.- Enhancement Of The Effective Bandwidth Available To A Client Host In A Network By Using Multiple Network Devices Concurrently.- Enhanced dynamic source routing based on link capacity and queue optimization in MANET (DSR-LQ).- Statistical Analysis of Feature Selection and Clustering for Building the Optimised Drug Toxicity Prediction Model.- Towards GPU Accelerated Computation for Stock Prediction Based on News Headlines.- A Novel Approach for the Enterprise Hospital Management Application with Full Stack Development.- IoT-Based Platform for Smart Automobile System.- Improving Attitudes of Underrepresented High School Students towards STEM: A Virtual Summer Program.- Diabetic Eye Diseases Detection and Classification Using Deep Learning Techniques - A Survey.- A Review to Analyze Insider Threats Using Machine Learning Techniques.- Machine Learning Model for the Email Spam Detection with Data Mining Techniques.- Statistical Investigation of Smoking Patterns and Smoking Cessation Enthusiasm in Rural Areas of Jaipur.- A Smart Assistive Device for the Blind People.- Implementing Fog Computing Architecture using AWS IoT Greengrass.- Detection of Log4j attack in SDN Environment.- Green marketing and its effects on consumer behavior.- Complementing Malware Epidemic Agent Based Models with Routing Protocols of Communication Networks using NetLogo.- Machine Learning and Deep Learning Methods for the Detection of Schizophrenia using Magnetic Resonance Images and EEG Signals: An Overview of the Recent Advancements.
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