Proceedings of Data Analytics and Management

ICDAM 2023, Volume 3
1. Auflage 2023
ISBN: 978-981-99-6549-6
Verlag: Springer Nature Singapore

Buch, Englisch, 687 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1196 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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. 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 four volumes.

Zielgruppe

Research

Autoren/Hrsg.

Swaroop, Abhishek

Virdee, Bal

Polkowski, Zdzislaw

Correia, Sérgio Duarte

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

Chapter 1: Enhancing Computational Thinking Based on Virtual Robot of Artificial Intelligence Modelling in The English Language Classroom.- Chapter 2: Software Change Prediction Model using Ensemble Learning.- Chapter 3: Discerning Monkeypox from other Viruses of the Poxviridae Family in a Deep Learning Paradigm.- Chapter 4: An Exploratory Study to Classify Brain Tumor Using Convolutional Neural Networks.- Chapter 5: Skin Cancer Detection with Edge Devices using YOLOv7 Deep CNN.- Chapter 6: Effective Image Captioning using Multi-Layer LSTM with Attention Mechanism.- Chapter 7: A Hybrid Approach for Sentiment Analysis using Game Theory in Word Sense Disambiguation.- Chapter 8: A Sequential News Capture and Summarization Model (SNCSM).- Chapter 9: A Novel Explainable Artificial Intelligence Based Deep Reinforcement Learning for Secured Smart City Applications.- Chapter 10: A Review of IoT Security Solutions using Machine Learning and Deep Learning. etc.

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 organizations 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 at various administrative positions such as Head of the Department, Division Chair, NBA Coordinator for the university, and Head of training and placements. Currently, he is serving as Professor and HoD, department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, and Delhi. He is actively engaged in research. He has more than 60 quality publications, out of which eight are SCI and 16 Scopus.

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 Program 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 block chain. 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 the various parts of the world. He is also playing the role of Principal Investigator.

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 Center, Lusófona University of Humanities and Technologies, Lisbon, Portugal, and Valoriza—Research Center for Endogenous Resource Valorization, Polytechnic Institute of Portalegre, Portalegre, Portugal. Over 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. Bal Virdee graduated with a B.Sc. (Engineering) Honors in Communication Engineering and M.Phil. from Leeds University, UK. He obtained his Ph.D. from University of North London, UK. He was worked as Academic at Open University and Leeds University. Prior to this, he was 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 Organizer, 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). He is Member of ethical committee and Member of the school's research committee and research degrees committee.