Soft Computing and Signal Processing (eBook, PDF)

Proceedings of 6th ICSCSP 2023, Volume 1

• Format: PDF

Produktbeschreibung

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 620
• Erscheinungstermin: 15. April 2024
• Englisch
• ISBN-13: 9789819986286
• Artikelnr.: 70375483

Autorenporträt

Dr. Vustikayala Sivakumar Reddy was achieved his Doctoral degree from IIT, Kharagpur, India (Electronics & Communication Engineering). He has pursued his Masters in Digital Systems from JNT University, Hyderabad, India. He has pursued his Bachelor of Technology degree in Electronics & Communication Engineering from S.V. University, Tirupathi, India .His Research Interests lies in the areas of Computer Networks and Communications, Video Processing, Multimedia System Design, Operating Systems, TCP/IP Networks & Protocols, System Architecture and Advanced Microprocessors. He has over 23 years of experience at various levels of Academic and Administrative Positions. He is currently the Vice Chancellor of Malla Reddy University, Dhulapally, Secunderabad. He served as a Principal & Professor in Malla Reddy College of Engineering and Technology, Maisammaguda, Dhulapally, Secunderabad from 17.08.2009 to till date. He served as a Professor in Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad from 24.06.1999 to 16.08.2009. He is the Reviewer for the Journals “IEEE Communication Letters” and “IEEE Transactions on Broadcasting”. He is a Fellow member of IETE,IEEE, ISTE,CSI. He has over 115 Publications in various reputed International/National Journals and Conferences.

Dr. Jiacun Wang was achieved his Doctoral degree in computer engineering from Nanjing University of Science and Technology (NJUST), China in 1991. He has pursued his Masters in Nanjing University of Science and Technology . He has pursued his Bachelor of Engineering degree in Jiangsu University. He is currently a Professor in 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 with Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate of the School of Computer Science, Florida International University (FIU) at Miami. Prior tojoining FIU, he was an associate professor at NJUST. Dr. Wang has published two books and about 80 papers. He is the Secretary of the Organizing and Planning committee of the IEEE SMC Society. He is an Associate Editor of several international journals and has served as program chair, program co-chair, and special sessions chair or program committee member for many international conferences. Dr. Wang has been a senior member of IEEE since 2000.His research interests include software engineering, discrete event systems, formal methods, wireless networking, and real-time distributed systems. Most recently, he has been focusing his research on workflow modeling and analysis for emergency management systems. He has published books on Handbook on Finite State Based Models and Applications published by CRC Press in 2012. He has published books on Timed Petri Nets: Theory and Application, Kluwer Academic Publishers published by CRC Press in 1998.

Dr. KTV Reddy was awarded Doctoral degree in Communication (Microwaves/ Microstrip Antennas), June 2004,Department of Electrical Engineering, IIT Bombay. He has pursued his Masters in communication Engineering: Jan 1999, Department of Electrical Engineering, IIT Bombay. He has pursued his Bachelor of Engineering degree in July 1991, NBKRIST, SV University. Prof (Dr) KTV Reddy is presently working as a Dean, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (DU), Sawangi ( Meghe), Wardha.Previously he worked as a Campus Director and Principal, Pravara Educational Society’s “Pravara Technical Education Campus, Sir Visvesvaraya Institute of Technology (SVIT) Nashik”. He was the former Director at PSIT Kanpur. He is an avid academician, Prof Reddy has addressed and contributed to numerous national and international seminars and conferences. He published over 100 papers in the National and International journals and conferences. Delivered over 200 invited talks and organized over 150conferences and workshop. Dr Reddy is a Fellow Member of IETE, Senior Member of IEEE and life Member of ISTE, ACM, and CSI. He has organized several International and National Conferences/ workshops. He is the key member to inaugurate over 30 IETE – ISF’s in and around Mumbai colleges. Served IETE Mumbai centre in various capacities like treasurer (2001) vice chairman (2003), Hony. Secretary (2004 – 2008), and Chairman (2008 – 2010). During his term as Chairman, IETE Mumbai acquired premises for Mumbai center in 2009.He was key member in organizing and making grand success of IETE ATC – 2009 and 2012 held at Mumbai. I understand that he was the youngest elected Council Member for IETE, India for the years 2011-2014. He also served IEEE (AP/ED) Mumbai chapter as Vice Chairman for the year 2004 and 2010, Governing council member for the years 2011-2014 and 2015-2018.

Dr. Kartinah bt Zen is currently an Associate Professor at the Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak (UNIMAS). She pursued her Ph.D in Sensor Network in Edith Cowan University (ECU), Australia. Her research interest isin wireless sensor networks data transmission and sensor-related network technology and application. She is also a research fellow at the Centre of Excellence for Rural Informatics,and currently working on project in wireless sensor network. Her areas of expertise are ICT Infrastructure, Sensor Networks. She has won Gold and Silver Medals at various local and international research Expo. She is a Consultant for Service Learning Project Digital Inclusivity Project: Digital Awareness and Buy-In, Sarawak Multimedia Authority (SMA), Project Member, 2018- 2018, National Service Learning Project Digital Inclusivity Project: Digital Readiness, Sarawak Multimedia Authority (SMA), Project Member, 2019 - PRESENT, Real-Time Remote System Performance Monitoring for HDU RO Water Purification System Based on IoT and AI, Biomedix Solutions Sdn Bhd, Project Member, 2021 – 2022.

Inhaltsangabe

Automobile Parts Classification using Deep Learning based Ensemble Model.- Admission Prediction for Higher Studies in Foreign Universities.- Factors Influencing Employee Satisfaction in Workplace: A Study conducted in the Sonali Life Insurance Company Limited.- Detection of Abductors using Machine Learning Algorithms.- Vehicle Registration using Blockchain and JSON web token for Authentication on Restful Web Service from India Perspective.- Smart Grading System for Evaluating typed Text Answers Using Ensemble Machine-Learning techniques.- Ethereum Blockchain Based KYC Verification.- Crime Rate Prediction Using Machine Learning Techniques.- Comparative Study of various Machine Learning Algorithms for American Sign Language Recognition.- Species Identification of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN).- Performance Evaluation of ML algorithms for Diabetes Prediction.- Office Management Chatbot using Artificial Intelligence.- Artificial intelligence based coronary heart disease Prediction in real time scenarios.- Milk Adulteration Monitoring and Detection Using IoT.- Multi Layered Object Identification and Detection using Deep CNN Detector.- ANN-Based Resource Scheduling Mechanism in Hybrid Cloud Computing Environment.- Comparison And Performance Evaluation of Fusion Mechanismfor Audio-Video Based Multimodal Emotion Recognition.- E-Commerce Customer Segmentation By Unsupervised Learning.- Analyzing Sentiment of Stock Market Data from twitter using Machine Learning and Deep Learning Techniques.- Transformer-based Chest X-ray Report Generation Model.- Chat Bot for Banking Sector Using NLP and ML.- Deep Learning-based proposed approach for low-dose CT scan based early detection of lung cancer.- Spam Detection using Deep Learning Approaches for Social Media Data.- Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning.

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Automobile Parts Classification using Deep Learning based Ensemble Model.- Admission Prediction for Higher Studies in Foreign Universities.- Factors Influencing Employee Satisfaction in Workplace: A Study conducted in the Sonali Life Insurance Company Limited.- Detection of Abductors using Machine Learning Algorithms.- Vehicle Registration using Blockchain and JSON web token for Authentication on Restful Web Service from India Perspective.- Smart Grading System for Evaluating typed Text Answers Using Ensemble Machine-Learning techniques.- Ethereum Blockchain Based KYC Verification.- Crime Rate Prediction Using Machine Learning Techniques.- Comparative Study of various Machine Learning Algorithms for American Sign Language Recognition.- Species Identification of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN).- Performance Evaluation of ML algorithms for Diabetes Prediction.- Office Management Chatbot using Artificial Intelligence.- Artificial intelligence based coronary heart disease Prediction in real time scenarios.- Milk Adulteration Monitoring and Detection Using IoT.- Multi Layered Object Identification and Detection using Deep CNN Detector.- ANN-Based Resource Scheduling Mechanism in Hybrid Cloud Computing Environment.- Comparison And Performance Evaluation of Fusion Mechanismfor Audio-Video Based Multimodal Emotion Recognition.- E-Commerce Customer Segmentation By Unsupervised Learning.- Analyzing Sentiment of Stock Market Data from twitter using Machine Learning and Deep Learning Techniques.- Transformer-based Chest X-ray Report Generation Model.- Chat Bot for Banking Sector Using NLP and ML.- Deep Learning-based proposed approach for low-dose CT scan based early detection of lung cancer.- Spam Detection using Deep Learning Approaches for Social Media Data.- Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning.