Smart Intelligent Computing and Applications, Volume 1

Proceedings of Fifth International Conference on Smart Computing and Informatics (SCI 2021)
Herausgegeben:Bhateja, Vikrant; Satapathy, Suresh Chandra; Travieso-Gonzalez, Carlos M.; Adilakshmi, T.

• Gebundenes Buch

Produktbeschreibung

The proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2021), held at Department of Computer Science and Engineering, Vasvi College of Engineering, Hyderabad, Telangana, India, during 17 - 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.

Produktdetails

• Smart Innovation, Systems and Technologies 282
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-16-9668-8
• 1st ed. 2022
• Seitenzahl: 676
• Erscheinungstermin: 19. April 2022
• Englisch
• Abmessung: 241mm x 160mm x 42mm
• Gewicht: 1168g
• ISBN-13: 9789811696688
• ISBN-10: 9811696683
• Artikelnr.: 63138554

Autorenporträt

Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow.  His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 160 quality publications in various international journals and conference proceedings.  He is associate editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal.  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 the National Chairman Div-V (Educational and Research) of Computer Society of India and is also a 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 conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engg published by Springer.  Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 50 International and Spanish Research Projects, some of them as head researcher. He has 440 papers published in international journals and conferences. He has published 7 patents in Spanish Patent and Trademark Office. He is evaluator of project proposals for European Union (H2020), Medical Research Council (MRC - UK), Spanish Government (ANECA - Spain), Research National Agency (ANR - France), DAAD (Germany), and other Institutions. He has been General Chair in 16 international conferences, mainly sponsored by IEEE and ACM. He is Associate Editor in CIN and Entropy (Q2-WoS journals). He has been awarded in "Catedra Telefonica" Awards in editions 2017, 2018 and 2019 on Knowledge Transfer Modality.  T. Adilakshmi is currently working as Professor and Head of the Department, Vasavi College of Engineering. She completed her Bachelor of Engineering from Vasavi College of Engineering, Osmania University, in the year 1986, and did her Master of Technology in CSE from Manipal Institute of Technology, Mangalore, in 1993. She received Ph.D. from Hyderabad Central University (HCU) in 2006 in the area of Artificial Intelligence. Her research interests include data mining, image processing, artificial intelligence, machine learning, computer networks and cloud computing. She has 23 journal publications to her credit and presented 28 papers at international and national conferences. She has been recognized as a research supervisor by Osmania University (OU) and Jawaharlal Nehru Technological University (JNTU). Two research scholars were awarded Ph.D. under her supervision, and she is currently supervising 11 Ph.D. students.

Inhaltsangabe

An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian ofGaussian and Deep Convolutional Neural Network.