Applied Computing for Software and Smart Systems (eBook, PDF)

Proceedings of ACSS 2022
Redaktion: Chaki, Rituparna; Chaki, Nabendu; Saeed, Khalid; Cortesi, Agostino

• Format: PDF

Produktbeschreibung

This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09-10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 306
• Erscheinungstermin: 22. Februar 2023
• Englisch
• ISBN-13: 9789811967917
• Artikelnr.: 67500830

Autorenporträt

Rituparna Chaki, a full professor in the A K Choudhury School of IT, University of Calcutta, India, since 2013. She is actively involved in the research related to the domain of wireless networking for over last twelve years. Her field of research encompasses optical network topology to adhoc network routing, wds for WSN. She is also actively involved in the promotion of Internet of Things and has recently authored a book on IoT security by CRC press. She is an active member of ACM India and is currently chairing the ACM-Kolkata professional Chapter. Besides wireless networking and IoT, she is also involved in research related to Systems Software, Software security and testing. She has well over 150 international publications to her credit. Prof. Chaki has delivered invited lecture in different Universities, and Conferences in India and abroad.  She is also a Visiting Professor in the AGH University of Science & Technology, Poland since October 2013.   Agostino Cortesi, Ph.D., is a full professor of computer science at Ca' Foscari University, Venice, Italy. He has extensive experience in the area of software engineering, static analysis and verification techniques. His main research interests concern programming languages theory, software engineering, and static analysis techniques, with particular emphasis on security applications. He has been the adviser of several doctoral and postdoctoral students from Italy and abroad (India, Cuba), and has published more than 150 papers in high-level international journals and proceedings of international conferences   Khalid Saeed is a full Professor of Computer Science at Bialystok University of Technology and a half-time full professor at Universidad de La Costa, Barranquilla, Colombia. He was with Warsaw University of Technology in 2014-2019 and with AGH Krakow in 2008-2014. He received his BSc Degree from Baghdad University in 1976, MSc and PhD (distinguished) Degrees from Wroclaw University of Technology in Poland in 1978 and 1981, respectively. He received his DSc Degree (Habilitation) in Computer Science from the Polish Academy of Sciences in Warsaw in 2007. He was nominated by the President of Poland for the title of Professor in 2014. He has published more than 250 publications including about 120 journal papers and book chapters, about 100 peer reviewed conference papers, edited 50 books, journals and Conference Proceedings, written 13 text and reference books (h-index 17 in WoS base and 14 in SCOPUS base). He supervised more than 15 PhD and 150 MSc theses. He was selected as IEEE Distinguished Speaker for 2011-2016. Khalid Saeed is the Editor-in-Chief of International Journal of Biometrics with Inderscience Publishers (since 2008).   Nabendu Chaki is a Professor in the Department of Computer Science & Engineering, University of Calcutta, Kolkata, India. He is sharing the responsibility of the Series Editorfor Springer Nature book series on Services and Business Process Reengineering jointly with Prof. Agostino Cortesi of Venice, Italy. Besides editing close to 50 conference proceedings with Springer, Dr. Chaki has authored 8 text and research books with CRC Press, Springer Nature, etc. He has published more than 250 Scopus Indexed research articles in Journals and International conferences books (h-index is 16 in SCOPUS base). Prof. Chaki has served as a Visiting Professor in different places including US Naval Postgraduate School, California, and in different Universities in Poland and in Italy. He has been the founder Chair of ACM Professional Chapter in Kolkata and served in that capacity for 3 years during 2014-17. He has been active during 2009-2015 towards developing several international standards in Software Engineering and Service Science as a Global (GD) member for ISO-IEC.

Inhaltsangabe

Part 1: Algorithms.- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach.- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control.- Chapter 3. A robust approach to document skew detection.- Part 2: Smart systems and Networks.- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol.- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure.- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection.- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology.- Part 3: Machine Learning.- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks.- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system usingfuzzy rank based multi-objective PSO.- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds.- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text.- Part 4: Smart Healthcare.- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals.- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data.- Chapter 14. Stress Analysis Using Machine Learning.- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.