Proceedings of Data Analytics and Management: ICDAM 2025, Volume 8

Author:   Abhishek Swaroop ,  Bal Virdee ,  Sérgio Duarte Correia ,  Zdzislaw Polkowski
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032037398


Pages:   574
Publication Date:   29 October 2025
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $739.17 Quantity:  
Add to Cart

Share |

Proceedings of Data Analytics and Management: ICDAM 2025, Volume 8


Overview

Full Product Details

Author:   Abhishek Swaroop ,  Bal Virdee ,  Sérgio Duarte Correia ,  Zdzislaw Polkowski
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032037398


ISBN 10:   3032037395
Pages:   574
Publication Date:   29 October 2025
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Assessing the Health and Environmental Consequences of River Water Pollution on Vulnerable Communities.- Time-Critical Sepsis Prediction: Advancing Healthcare Analytics Through Deep Learning Architectures.- Comprehensive Evaluation of Anomaly Detection Methods for Time Series.- Resume Content Recognition and Organization Framework Using YOLOv8 and Tesseract OCR Deep Learning Models.- CRFFGAI Algorithm for Handling Uncertainty and Variability in Output Generation of Generative Al Models.- Hybrid Hindi Image Captioning using YOLO with Attention-Based LSTM.- Temporal Gradient Entropy-Based Collaborative Filtering for Context-Aware Movie Recommendation.- Enhancing Cloud Performance with AI-Based Predictive Analytics.- Assessment of Breast Cancer Presence in women using Machine Learning Methodologies: A Comparative Insight.- Flat Feet (Pes Planus) Detection Using Custom Convolutional Neural Network With Successive 5-Fold Cross Validation and Selective Data Augmentation.

Reviews

Author Information

Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has industrial experience of 8 years in organisations like Usha Rectifier Corporations and Envirotech Instruments Pvt. Limited. He has 22 years of teaching experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University, Greater Noida, and Galgotias University, Greater Noida. He has served in various administrative positions such as Head of the Department, Division Chair, NBA Coordinator for the University, Head Training & Placements. Currently, he is serving as Professor and Head of the Department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, Delhi. He is actively engaged in research. He has more than 60 quality publications out of which 8 are SCI and 16 scopus.  Prof. Bal Virdee graduated with a B.Sc. (Engineering) Honours in Communication Engineering and M.Phil. from Leeds University, UK. He obtained his Ph.D. from the University of North London, UK. He worked as an academic at Open University and Leeds University. Prior to this, he was a research and development Electronic Engineer in the Future Products Dept. at Teledyne Defence (formerly Filtronic Components Ltd., Shipley, West Yorkshire), and at PYE TVT (Philips) in Cambridge. He has held numerous duties and responsibilities at the university, i.e.: Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, Short Course Organiser, Course Leader for M.Sc./M.Eng. Satellite Communications, B.Sc. Communications Systems and B.Sc. Electronics. In 2010, he was appointed Academic Leader (UG Recruitment). Prof. Sérgio Correia received his Diploma in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2000, the master’s degree in Industrial Control and Maintenance Systems from Beira Interior University, Covilhã, Portugal, in 2010, and the Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2020. Currently, he is Associate Professor at the Polytechnic Institute of Portalegre, Portugal. He is Researcher at COPELABS—Cognitive and People-centric Computing Research Centre, Lusófona University of Humanities and Technologies, Lisbon, Portugal, and VALORIZA—Research Centre for Endogenous Resource Valorization, Polytechnic Institute of Portalegre, Portalegre, Portugal. Over the past 20 years he has worked with several private companies in the field of product development and industrial electronics. His current research interests are Artificial Intelligence, Soft Computing, Signal Processing, and Embedded Computing. Prof. (Dr.) Zdzislaw Polkowski is Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also Rector’s Representative for International Cooperation and Erasmus Programme and former dean of the Technical Sciences Faculty during the period of 2009–2012. His area of research includes Management Information Systems, Business informatics, IT in Business and Administration, IT Security, Small Medium Enterprises, CC, IoT, Big Data, Business Intelligence, and Blockchain. He has published around 60 research articles. He has served the research community in the capacity of author, professor, reviewer, keynote speaker, and co-editor. He has attended several international conferences in various parts of the world. He is also playing the role principal investigator.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

NOV RG 20252

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List