Proceedings of Data Analytics and Management

ICDAM 2025, Volume 1
Erscheinungsjahr 2025
ISBN: 978-3-032-02948-5
Verlag: Springer

Buch, Englisch, 545 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 838 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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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

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

Inhaltsverzeichnis

Income Effects of Digital Infrastructure: Evidence from the Philippines.- Openpose, Posenet and MoveNet: The Evolution of Deep Learning Methods in Yoga Pose Classification.- Developing AI-Driven Techniques for Decoding and Visualizing Language Representations from Human Brain Activity.- Human Performance in Deepfake Detection: Exploring Multimodal and Demographic Influences.- Impact of Coalesce Access Control Mechanisms in Distributed Ledger Technology.- Sentiment Analysis for Arabic Using Deep Learning.- Convo-Neur-Net: Allopathic Treatment v/s Ayurvedic Healing Practices: Their Role in Assessing Tibia and Femur Integrity.- Smart Housing Analytics: Using Classification to Forecast Home Values.- Comparative Study of Sleep Disorder Classification using Under-sampled and Augmented Data.- Lexical Analysis of Brand Campaigns: Unveiling Consumer Sentiment Insights through Natural Language Processing.

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.