Proceedings of Data Analytics and Management

ICDAM 2025, Volume 2
Erscheinungsjahr 2025
ISBN: 978-3-032-03071-9
Verlag: Springer

Buch, Englisch, 579 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 890 g

Reihe: Lecture Notes in Networks and Systems

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK, during June 2025. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into ten volumes.

Zielgruppe

Research

Autoren/Hrsg.

Swaroop, Abhishek

Virdee, Bal

Correia, Sérgio Duarte

Polkowski, Zdzislaw

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

AI-Powered Workforce Optimization: A Robust Model for Managing Complex Supply Chain Dynamics in MNC Companies.- Advancements in Agriculture Disease Detection: Employing Federated Learning for Plant Leaves.- Enhancing Botnet Detection through Deep Learning and Representation Learning.- Secure Blockchain Node Certification and PBFT Con-sensus for Fog Computing.- A Heap-based Automated ICU Bed Allocation Optimization Mechanism for Prioritizing Medical Care.- Evaluating the Practicality of Language Models on Edge devices for Sensor Data Analysis: A Sensible Approach?.- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery.- Oil Spill Detection in Heterogeneous Environments Using YOLOv9 with Aerial Imagery.- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models..- House of Mirrors: A survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models.

Über Autor(innen)

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.