Proceedings of International Conference on Innovations in Software Architecture and Computational Systems (eBook, PDF)

ISACS 2021
Redaktion: Mandal, Jyotsna Kumar; Sen, Santanu Kumar; Unal, Aynur; Mukhopadhyay, Somnath

• Format: PDF

Produktbeschreibung

This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 - 3 April 2021. The book primarily focuses on developing artificial intelligence-based algorithms and methodologies for enabling intelligent hardware and software systems. This book brings together the latest findings on efficient technological solutions for developing intelligent and hybrid systems, intelligent software architecture, machine intelligence-based analytical tools and also smart sensors and networks. The prime focus is on solving technological problems using state-of-the-art research finding like fuzzy computing, evolutionary and hybrid frameworks, neuro-computing, etc., along with other AI-based computation platforms. The book offers a valuable resource for all undergraduate, postgraduate studentsand researchers interested in exploring solution frameworks for social good problems using artificial intelligence.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 244
• Erscheinungstermin: 11. Oktober 2021
• Englisch
• ISBN-13: 9789811643019
• Artikelnr.: 62727389

Autorenporträt

Jyotsna Kumar Mandal, M. Tech. in Computer Science from the University of Calcutta in 1987, awarded Ph. D. (Engineering) in Computer Science and Engineering by Jadavpur University in 2000. He is working as a professor of Computer Science and Engineeringand the former dean, Faculty of Engineering, Technology and Management, KU, for two consecutive terms during 2008-2012. He is the director ofIQAC, Kalyani University, and the chairman, CIRM, and placement cell. He served as a professor of Computer Applications, KGEC, as an associate professor of Computer Science, an assistant professor of Computer Science, North Bengal University for fifteen years, and as a lecturer at NERIST, Itanagar, for one yearand has 34 years of teaching and research experience in coding theory, data and network security and authentication,remote sensing and GIS-based applications, data compression, error correction, visual cryptography and steganography. He was awarded 23 Ph. D. Degrees, one submitted and 8 are pursuing;supervised 03 M. Phil, more than 70 M. Tech and more than 125 M.C.Adissertations;a guest editor of MST Journal (SCI indexed) of Springer;published more than 400 research articles out of which 180 articles in International Journals;published seven books from LAP Germany, IGI Global, Springer, etc.;organized more than 40 International Conferences and Corresponding Editors of edited volumes and conference publications of Springer, IEEE,Elsevier etc.; and edited more than 40 volumes as volume editor. He received "SikshaRatna" award from Higher Education, Government of West Bengal, India, in the year 2018 for outstanding teaching activities;Vidyasagar award from International Society for Science Technology and management in the fifth International Conference on Computing, Communication and Sensor Network; Chapter Patron Award, CSI Kolkata Chapter on 2014; "Bharat Jyoti Award" for meritorious services, outstanding performances and remarkable role in the field of Computer Science and Engineering on 29 August 2012 from International Friendship Society (IIFS), New Delhi;and A. M. Bose Memorial Silver medal and Kali PrasannaDasgupta Memorial Silver medal from Jadavpur University.  Dr. Somnath Mukhopadhyay is currently an assistant professor at the Department of Computer Science and Engineering, Assam University, Silchar, India. He completed his M. Tech. and Ph.D. degrees in Computer Science and Engineering at the University of Kalyani, India, in 2011 and 2015, respectively. He has co-authored one book and has ten edited books to his credit. He has published over 30 papers in various international journals and conference proceedings, as well as six chapters in edited volumes. His research interests include digital image processing, computational intelligence and hyper spectral imaging. He is a member of ACM,a life member of the Computer Society of India and currently, the regional student coordinator (RSC) of Region II, Computer Society of India.  Dr. Aynur Unal, educated at Stanford University (class of '73) comes from a strong engineering design and manufacturing tradition, majored in Structural Mechanics-Mechanical Engineering-Applied Mechanics and Computational Mathematics from Stanford University. She has taught at Stanford University till mid 80's and established the Acoustics Institute in conjunction with NASA-AMES research fellowships funds. Her work on "New Transform Domains for the Onset of Failures" received the most innovative research awards. Most recently, she is bringing in the social responsibility dimension into her incubation and innovation activities by getting involved in social entrepreneurial projects on street children and ageing care. She is also the strategic adviser for Institutional Development to IIT Guwahati. She is a preacher of Open Innovation and she always encourages students to innovate and helps them with her support.  Dr. Santanu Kumar Sen,BE(CSE), M. Tech(CSE), Ph. D (Engg.), MBA(IS), C. Eng (I), FIET(UK), FIE(I), FIETE(I), SMIEEE(USA), SMCSI, LMISTE, MACM(USA), has 25 years of experience in the field of Computer Science and Engineering in which 8 years in Industry and 17 years in Engineering Academia including abroad, experience in system level programming / network programming. C / AL/ TCP/IP/ UDP/IP/ TFTP/ ICMP/ BSD Sockets, Shell Scripting/ awk/Perl. Knowledge of Unix Internals and Kernel level programming, SIGNAL/ IPC/ RPC/ File System Management/ vnode/vfs interface, R/W Locks/TPI/TLI management, DDI/DKI interface, STREAMS subsystem, Firewall Programming, Ergonomics/Unix and Linux System Administration/ Network Administration, Ph.D. (Engg.) under Computer Science and Engineering from Jadavpur University in 2008, Master in Business Administration (MBA) in Information Systems from Sikkim Manipal University in 2011, securing 1st Class (Grade "Excellent", 81% of marks in aggregate) M.Tech in Computer Science and Engineering securing 1st Class from CMJ University in 2012, Bachelor of Engineering (B.E) in Computer Science and Engineering from Regional Engineering College (Now National Institute of Technology), Silchar, 1994, securing 1st Class (66.2%), Chartered Engineering (C.Eng) from Institute of Engineering in 2010, 10+2 std - 1st Division (62%) in 1989,10 std - 1st Division (64.3%) in 1987, Principal, Guru Nanak Institute of Technology Sept 2012 - till date, Budge Budge Institute of Technology (A Degree Engineering College) 1 August 2011 - 31 August 2012. He is the head of the Department of Computer Science andEngineering and Department of Information Technology, Guru Nanak Institute of Technology, January 2005 - July 2011;a senior lecturer, Asansol Engineering College, Asansol (A Degree Engineering College), July 2003 - December 2004;a software consultant, Vanguard Technologies Limited, UK, November 2002 - June 2003,; a software engineer, JBAS System Inc., California, USA, December 2000 to October 2002; Engineer CMC Limited, December 1997 - December 2000;a lecturer in the Regional Engineering College - Silchar, February 1997 to Nov 1997;and a system analyst,  NetCom India, January 1995 - January 1997. He published more than 70 papers in various international and national journals and organized various workshops.   

Inhaltsangabe

Text to Image Classification using Attn: Gan With Dense Net Architecture.- Cyclone Detection and Forecasting Using Deep Neural Networks through Satellite Data.- An Improved Differential Evolution Scheme for Multilevel Image Thresholding Aided with Fuzzy Entropy.- Clustered Fault Repairing Architecture for 3D ICs using Redundant TSV.- The Implementation of Similarity Measures in Group Decision-Making Problems by Signless Laplacian Energy of an Intuitionistic Fuzzy Graph.- Uniform Grid Formation by Asynchronous Fat Robots.- A LSB Substitution based Steganography Technique using DNA Computing for Color Images.- An Approach of Safe Stock Prediction using Genetic Algorithm.- Suicide Ideation Detection in Online Social Networks: A Comparative Review.- An Improved K-Means Algorithm for Effective Medical Image Segmentation.- Breast Cancer Histopathological Image Classification using Convolutional Neural Networks.- A Framework for Predicting Placement of a Graduate using Machine Learning Techniques.