Nanda / Yadav / Gandomi Data Science and Applications

Proceedings of ICDSA 2023, Volume 2
1. Auflage 2024
ISBN: 978-981-99-7820-5
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 819, 535 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Zielgruppe

Research

Autoren/Hrsg.

Nanda, Satyasai Jagannath

Yadav, Rajendra Prasad

Gandomi, Amir H.

Saraswat, Mukesh

Inhaltsverzeichnis

Comparative Analysis of various SRAM bit cells for 32nm technology node.- Uncovering the Threat: Exploring Covert Channel Attacks via Audio Files in Android Applications.- Emotion Recognition through Facial Expressions from Images using Deep Learning Techniques.- Optimization of Process Parameters In The Abrasive Waterjet Machining Using Bees Algorithm.- Advancement on Steganography: A Review.- Ethereum Blockchain For Private Equity Crowdfunding : Enabling Seamless USDC and Share Token Transactions.- Graph Convolutional Neural Network for IC50 Prediction Model using Amyotrophic Lateral Sclerosis Targets.- Cardiovascular Disease Prediction using Deep Learning Models.- Classification of Skin Cancer Using Integrated Methodology.- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays.- Cyber - Crime Analysis of India using Machine Learning.- Mapping a Conceptual Model of Color Forecasting:A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency.- Estimation of Net Primary Productivity using CASA Biosphere Model in Hyderabad and Roorkee Region of India.- Machine Learning Models for Chronic Renal Disease Prediction.- ARTHRO - Knee Osteoarthritis Detection Using Deep Learning.- Improvised Real Time Tweet Analysis for Brand Recognition.- AI Based Facial Emotion Recognition.- Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem.- Development of An Event-based Dataset For Abnormal Activity Detection.- Media Text Analysis based on One-Dimensional Hashtag Embeddings.- Occluded Face Recognition using Non-global Features Extraction and K-means Clustering Algorithm.- Brain Tumor Segmentation Using Gaussian Based U-Net Architecture.- Utility of smoothing techniques in yield curve modeling for non-steady state data of Sri Lanka capital market.- WSN based secure and energy efficient smart parking management system (SPMS)using FFA-ANN.- Multilingual approach to decode Shree Rama Prashanavali using Character Recognition and String Matching.- An enhanced approach for automatic sound event detection using neural networks .- Detecting Issues Related to Environmental, Social, and Corporate Governance using SEC-BERT.- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imagine.- Face Counting based on pre-trained machine learning models: A brief systematic review.- A Machine Learning - Driven Soil Nutrient, and Crop Yield Recommendation Platform with Pesticide Suggestions.- A Machine Learning Approach to optimize the water consumption for irrigation of rice crop.- Raithubot: An RLHF-Finetuned Telugu Chatbot for Farmers.- UAV Enabled Systems for Industry 4.0: Applications and Challenges.- User Reception is Everything: Using a Neural Network to Predict iOS App Ratings.- A Survey of Motion Prediction for Autonomous Vehicles using the Lyft Dataset.- Dengue Fever Outbreak Prediction using Machine Learning Models: A Comparative Study Dengue Fever.- Improved Appearance Model for Handling Occlusion in Vehicle Tracking.- Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing using Deep Learning.- Construction of Substitution Box from Nordstrom-Robinson (N16) Code.- Natural Language to Unified Modeling diagrams A Deep Learning Approach.- Time-dependent Enhanced Personalized Semantic Map-based Transportation Mode Recommendation System.- Web Based Threat Identification Using Classification Algorithm.

Über Autor(innen)

Dr. Satyasai Jagannath Nanda is an assistant professor at the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, since June 2013. Prior to joining MNIT Jaipur, he has received the Ph.D. degree from School of Electrical Sciences, IIT Bhubaneswar, and M.Tech. degree from the Department of Electronics and Communication Engg., NIT Rourkela. He received the B.E. degree in Electronics and Telecommunication Engineering from Institute of Technical Education and Research (ITER), Bhubaneswar, in the year 2006.  He was the recipient of Canadian Research Fellowship—GSEP, from the Department of Foreign Affairs and Intern. Trade (DFAIT), Government of Canada, for the year 2009-10. He was awarded Best Ph.D. Thesis Award at SocPros 2015 by IIT Roorkee.  He received the best research paper awards at ODICON-2023 at SOA University Bhubaneswar, SocPros-2020 at IIT Indore, IC3-2018 at SMIT Sikkim, SocPros-2017 at IITBhubaneswar, IEEE UPCON-2016 at IIT BHU, and Springer OWT-2017 at MNIT. He is the recipient of prestigious IEI Young Engineers Award by Institution of Engineers, Government of India, in the field of Electronics and Telecommunication Engineering for the year 2018-19. Prof. Rajendra Prasad Yadav is currently working as a professor-HAG at the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, Rajasthan, India. He has more than four decades of teaching and research experience. He was instrumental in starting new B.Tech. and M.Tech. courses and formulating Ph.D. Ordinances for starting research work in Rajasthan Technical University (RTU), Kota, and other affiliated engg. colleges as the vice chancellor of the University.  He has served as the HOD of Electronics and Comm. Engg., the president Sports and Library, the hostel warden, and the dean student affairs at MNIT Jaipur. At present he is also the Chief Vigilance Officer of MNIT Jaipur since 2015. Prof. Yadav received the Ph.D. degree from MREC Jaipur and M.Tech. degree from IIT Delhi. Under his supervision, 15 Ph.D. students have received Ph.D. degree, and 7 students are working for their Ph.D. degree. Forty M.Tech. students have carried out their dissertation work under his guidance. Amir H. Gandomi is a professor of Data Science and an ARC Discovery Early Career Research Award (DECRA) fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an assistant professor at the School of Business, Stevens Institute of Technology, USA, and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited more than 17,000 times (H-index = 60). He has been named as one of the most influential scientific mind and a highly cited researcher (top 0.1%) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as an associate editor, an editor, and a guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Dr. Mukesh Saraswat is an associate professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 20 years of teaching and research experience. He has guided 03 Ph.D. students, more than 70 M.Tech. and B.Tech. dissertations, and presently guiding 04 Ph.D. students. He has published more than 75 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was part of successfully completed DRDE-funded project, SERB-DST (New Delhi)-funded project, and CRS-funded project. He has been an active member of many organizing committees of various conferences and workshops. He is also a guest editor of the Array, Journal of Swarm Intelligence, and Journal of Intelligent Engineering Informatics. He is an active member of IEEE, ACM, and CSI Professional Bodies.