This book presents selected papers from International Conference on Artificial Intelligence and Networks (ICAIN 2024), held on 2425 September 2024, in Guru Tegh Bahadur Institute of Technology (GTBIT), GGSIPU, Delhi, India. The topics covered in the book are deep learning, machine learning, natural language processing, data science and analytics, cybersecurity and privacy, cloud computing, and wireless and mobile networks.

Presents recent innovative research in the field of artificial intelligence Discusses the outcomes of ICAIN 2024, held in Delhi, India Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Prof. Bal Virdee is a distinguished academic with a BSc (Hons) in Communication Engineering and an MPhil from Leeds University, UK. He earned his PhD from the University of North London. He has served as an academic at the Open University and Leeds University, and worked in R&D roles at Teledyne Defence and PYE TVT (Philips). At his current institution, he has held multiple leadership roles, including Course Leader, Health and Safety Officer, and Academic Leader (UG Recruitment). He is also an active member of various university committees.

Prof. Sérgio D. Correia holds a Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, where he also earned his Master's and Diploma degrees. He is an Associate Professor at Portalegre Polytechnic University and a researcher at COPELABS and VALORIZA. With over 20 years of industry experience, his research focuses on Embedded AI, Soft Computing, Signal Processing, and Computer Architecture. He is an editor for several scientific journals and a guest professor at European universities.

Prof. Punam Bedi is a Senior Professor in the Department of Computer Science at the University of Delhi. She previously served as Head of the Department and Director of the Delhi University Computer Centre. She earned her PhD in Computer Science from the University of Delhi, an M.Tech. in Computer Science, and an M.Sc. in Mathematics from IIT Delhi. Her research includes intelligent systems, multi-agent systems, fuzzy logic, and web mining. With over 4,900 citations and an H-index of 32, she has supervised multiple PhD scholars.

Prof. (Dr.) Abhishek Swaroop holds a PhD from NIT Kurukshetra, an M.Tech. from Punjabi University, and a B.Tech. (CSE) from GBP University. With 8 years in industry and 22 years in academia, he has held leadership roles at institutions like Jaypee Institute of Information Technology, Sharda University, and Galgotias University. He is currently a Professor and Head of the Department of Information Technology at Bhagwan Parshuram Institute of Technology, Rohini, Delhi, and is actively engaged in research.

Inhalt

Chapter 1 : A Study on Vision-Based Fire Detection using Deep Learning.- Chapter 2 : Cognitive Impact of Air Pollution using Machine Learning: a critical analysis.- Chapter 3 : Predictive Analytics to Evaluate High-Impact IPOs for Sustainable Value Creation.- Chapter 4 : Earthquake Magnitude Prediction using machine learning.- Chapter 5 : Personal Credit Score Generator using Federated Learning for Financial Stress Management.- Chapter 6 : Real Time Traffic Sign Recognition.- Chapter 7 : Leveraging Artificial Intelligence for Enhanced IoT Security: A Multi-Objective Threat Mitigation Strategy.- Chapter 8 : Comparative Analysis of CT-Scan Images for the prediction of Brain Stroke in Mid-lifers Using CNN Technique.- Chapter 9 : Effective Machine Learning based System for Classification and Prediction of DDoS Attack.-