Smart Intelligent Computing and Applications, Volume 2 (eBook, PDF)

Proceedings of Fifth International Conference on Smart Computing and Informatics (SCI 2021)

• Format: PDF

Produktbeschreibung

The proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2020), held at Department of Computer Science and Engineering, Vasavi 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

• Verlag: Springer Nature Singapore
• Erscheinungstermin: 21. Mai 2022
• Englisch
• ISBN-13: 9789811697050
• Artikelnr.: 64083885

Autorenporträt

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.

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.

Margarita N. Favorskaya is Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member and Chair of invited sessions of over 30 international conferences. She serves as Reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), Associate Editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems and International Journal of Reasoning-based Intelligent Systems, Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, Reviewer, Guest Editor and Book Editor (Springer). She is the author or the co-author of 200 publications and 20 educational manuals in computer science. She co-authored/co-edited seven books for Springer recently. She supervised nine Ph.D. candidates and is presently supervising four Ph.D. students. Her main research interests are digital image and videos processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence and information technologies.

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

Music Recommendation Engine Using Emotion Synthesis Through Facial Recognition.- Indian Alphabets and Digits Sign Recognition using Pre-trained Model.- An efficient Information retrieval technique for Document Classification.- A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data.- Lockdown phases and changing clusters of Indian states with respect to number of cases of COVID-19.- Non-invasive Measurement of Blood Sugar using Near-Infrared Spectroscopy.- Contemporary Technique for Detection of Brain Tumor in fluid Attenuated Inversion Recovery MRI Images.- Deep Learning Network for Face Identification across Illumination and Blur.- Use of Thermal Images for Face Mask Detection with Deep CNN.- Cardiovascular Disease Prediction using Machine Learning with Flask API.- An Ensemble CNN model for Identification of Diabetic Retinopathy Eye Disease.- Efficient Email classification Algorithm for Better Customer Support.-Efficient Email classification Algorithm for Better Customer Support.- Machine Learning for Detection of Obstructive Sleep Apnea.- Mammogram Image Fusion Using Sigmoidal Function and Max. Fusion Rule.- Impact of Climate Change and Land Cover on the Run-off Estimation Using SWAT Modelling.- Breast Cancer Prediction using Machine Learning Techniques.- Crime Rate Analysis and Prediction in Delhi using Facebook Prophet.- A generic Blockchain-based Remote Clinical Monitoring Framework through Wearable devices to mitigate the COVID-19 pandemic.- Detecting Face Mask for Prevent Covid 19 Using Deep Learning: A Novel Approach.- Different Feature Selection Methods Performance Analysis for Intrusion Detection.- Framework for Diabetic Retinopathy Classification.- Support Vector MachineClassification of Remote Sensing Images with the Wavelet based Statistical features.

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Music Recommendation Engine Using Emotion Synthesis Through Facial Recognition.- Indian Alphabets and Digits Sign Recognition using Pre-trained Model.- An efficient Information retrieval technique for Document Classification.- A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data.- Lockdown phases and changing clusters of Indian states with respect to number of cases of COVID-19.- Non-invasive Measurement of Blood Sugar using Near-Infrared Spectroscopy.- Contemporary Technique for Detection of Brain Tumor in fluid Attenuated Inversion Recovery MRI Images.- Deep Learning Network for Face Identification across Illumination and Blur.- Use of Thermal Images for Face Mask Detection with Deep CNN.- Cardiovascular Disease Prediction using Machine Learning with Flask API.- An Ensemble CNN model for Identification of Diabetic Retinopathy Eye Disease.- Efficient Email classification Algorithm for Better Customer Support.-Efficient Email classification Algorithm for Better Customer Support.- Machine Learning for Detection of Obstructive Sleep Apnea.- Mammogram Image Fusion Using Sigmoidal Function and Max. Fusion Rule.- Impact of Climate Change and Land Cover on the Run-off Estimation Using SWAT Modelling.- Breast Cancer Prediction using Machine Learning Techniques.- Crime Rate Analysis and Prediction in Delhi using Facebook Prophet.- A generic Blockchain-based Remote Clinical Monitoring Framework through Wearable devices to mitigate the COVID-19 pandemic.- Detecting Face Mask for Prevent Covid 19 Using Deep Learning: A Novel Approach.- Different Feature Selection Methods Performance Analysis for Intrusion Detection.- Framework for Diabetic Retinopathy Classification.- Support Vector MachineClassification of Remote Sensing Images with the Wavelet based Statistical features.