Data Engineering and Intelligent Computing (eBook, PDF)

Proceedings of 5th ICICC 2021, Volume 1
Redaktion: Bhateja, Vikrant; Rajesh, T. M.; Satapathy, Suresh Chandra; Lin, Jerry Chun-Wei; Khin Wee, Lai

• Format: PDF

Produktbeschreibung

This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 26-27 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 499
• Erscheinungstermin: 5. Juli 2022
• Englisch
• ISBN-13: 9789811915598
• Artikelnr.: 64278969

Autorenporträt

Vikrant Bhateja is Associate Professor, Department of ECE in SRMCEM, Lucknow, and also Dean (Academics) in the same college. He is Doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 18 years with around 180 publications in reputed international conferences, journals and online book chapter contributions, out of which 32 papers are published in SCIE indexed high impact factored journals. Among the international conference publications, four papers have received "Best Paper Award". He has been instrumental in chairing/co-chairing around 25 international conferences in India and abroad as publication/TPC chair and edited 35 book volumes from Springer Nature as a corresponding/co-editor/author on date. He is Editor-in-Chief of IGI Global-International Journal of Natural Computing and Research (IJNCR) an ACM & DBLP indexed journal since 2017. He has guest edited special issues in reputed SCIE indexed journals under Springer Nature and Elsevier. Lai Khin Wee received his Ph.D. from Technische Universitat Ilmenau, Germany, and Universiti Teknologi Malaysia (UTM) under DAAD Ph.D. Sandwich Programme. He is currently Head Programme (Master of Engineering) at Faculty of Engineering, University Malaya. He was appointed as Senior Lecturer in Biomedical Engineering Department, University Malaya in early 2013. Prior to that, besides being recognized by students and peers for his excellence as an educator, his contribution in biomedical imaging and Point-of-Care devices research has made him a regular recipient (more than 30 awards) of numerous international and national awards: multiple special awards and gold medals, best of the best awards from ITEX, MTE, i-ENVEX, AiNEX, PECIPTA, BioMalaysia Expo and other innovation and technology events organized by the Ministries Agency in Malaysia. As for the global in¿uence, his research prototype has represented Malaysia to participate iCREATe global challenge organized in Singapore, Thailand and Japan in 2015, 2016 and 2017, respectively. In addition, he had received Conference Best Presentation Award from Fukuoka University Japan in 2015, the Best Sustainable Prototype Award in Digital Wonderland Singapore Expo 2019, awarded Honorable Mention Award in 2020 NSIEC by NCKU Taiwan, IEM Young Engineer Award 2021 by the Institute of Engineers Malaysia and IEEE-EMBS Early Career Achievement Award 2021 by IEEE EMBS Malaysia Chapter. He upholds his academic pursuit by authoring more than 100 peer-reviewed ISI/WoS- and Scopus-listed publications, proceedings, book chapters, laboratory worksheet and guidelines (h-index 15). His innovations in his areas of expertise awarded him 16 patents and intellectual property rights and several major government and industries funded projects as principal investigator/co-researchers (completed 22 projects, 10 projects on-going) in collaboration with local and international researchers. He currently heads Advanced AnalyticResearch Group at Medical Imaging Laboratory, and supervised 43 postgraduate students (seven Ph.D. and 18 master completed, 11 Ph.D. and seven master on-going). Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, in 2010. He is currently a full professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 400 research articles in top-tier journals and conferences, 12 edited books, as well as 33 patents (held and ¿led, three US patents). His research interests include data analytics, soft computing, arti¿cial intelligence/machine learning, optimization, IoT and privacy preserving and security technologies. He is Editor-in-Chief of the International Journal of Data Science and Pattern Recognition. He has recognized as the mostcited Chinese researcher, respectively, in 2018, 2019 and 2020 by Scopus/Elsevier. He is Fellow of IET (FIET) and Senior Member for both IEEE and ACM. Suresh Chandra Satapathy is a Ph. D in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of National Chairman Div-V (Educational and Research) of Computer Society of India and is also Senior Member of IEEE. He has been instrumental in organizing more than 20 international conferences in India as Organizing Chair and edited more than 30 book volumes from Springer LNCS, AISC, LNEE and SIST series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning, data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conference proceedings. He is in Editorial Board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engineering published by Springer. T. M. Rajesh has completed his Ph. D in January 2017 from the Department of Computer Science and Engineering, Jain University, Bengaluru. He carried out his research on Forensic Crime Detection Area in digital image processing and pattern recognition domain. He has total of 8+ years of experience in industry, research and academics domains. He has 2 years of industrial experience at IGATE Global Solutions Ltd., Bengaluru. In IGATE, he worked as Software Engineer for production support for a client (RTBA and Westpac bank) in Australia. He is currently guiding three Ph.D. research scholars in DIP, PR and CV & ML domains. His publications towards his research work includes seven Indian patents and two Australian patents in IoT and computer vision domains, one textbook in Forensic Crime Detection Area (Multi-Lingual Signature Identi¿cation & Veri¿cation in Forgery Domain), three book chapters, 15 international journals, ¿ve book series and international conference proceedings and two national conference papers. His area of interest in research includes digital image processing, pattern recognition, video analytics, computer vision data analytics and IoT.

Inhaltsangabe

Enhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm.- Derivation of DUS-Defined Physiological and Color Features of Okra Fruit Using Machine Vision Technology.- Application-Oriented Content Quality Analysis of Data Using Python.- An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems.- Detection and Classification of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network.- Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations