Anand J. Kulkarni & Naoufel Cheikhrouhou 
Intelligent Systems for Smart Cities [PDF ebook] 
Select Proceedings of the 2nd International Conference, ICISA 2023

Manifesta: An Event Management Platform Using Recommendation System.- An Empirical Study on the Information Security Threats due to Remote Working Environments.- Intelligent Surveillance Tower for Detection of the Drone from the other aerial objects using Deep learning.- A Hybrid Ensemble Machine Learning Approach (EHML) for DDOS attack Detection in Smart City Network Traffic.- Identifying Instances of Cyberbullying on Twitter Using Deep Learning.- Machine Learning Techniques for Real-Time Human Face Recognition.- Image Steganography Using Particle Swarm Optimization.- Intelligent Inventory Management in Retail Stores using Four State of the Art Object Detection models.- Supply Chain Risk Management through Zero-Trust Architecture.- Solution of Goal Programming Product Mix Problem with Cohort Intelligence Algorithm.- Quick Tag: A Machine Learning Based Automated Toll Collection System Using Optical Character Recognition.- Io T Based Pothole Detection and Analysis for Road Quality Assessment and Human Safety Using Machine Learning Approach.- Localised Land-Use Classification using U-Net & Satellite Imaging.- An Intelligent Fire Extinguisher Monitoring System for Smart Cities.- Performance Analysis of Node Classification to Secure Intelligent Transportation System in VANET.- Safety and Disasters Evaluation in the Civil Aviation of Iran.- Impact of Deepfakes and Gradient Centralization on COVID-19 Diagnosis: A Compact Swin Transformer based Approach.- A Deep Learning Pipeline for Cervical Cancer Detection.- Heuristic Neural Network for Thermography Breast Cancer Detection.- Recognizing Raga of Indian Classical Songs using Regular Expressions.- Offline Handwritten Multilingual Numeral Recognition using CNN.- An Analytical Study for Implementing 360-degree m-HRM Practices Using Amazon Mechanical Turk and Machine Learning in IT Sector.- Buffer Allocation in Unreliable Production Lines using Infinitesimal Perturbation Analysis and Genetic Algorithm.- A predictive system forefficient Portfolio Management: An application of ANN and Technical Indicators.- Io T-based Smart System for Real-time Drowsy Driver Detection and Response.

Anand J. Kulkarni holds a Ph D in Artificial Intelligence (AI) based Distributed Optimization from Nanyang Technological University, Singapore, MS in AI from University of Regina, Canada, Bachelor of Mechanical Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as Postdoctoral Research Fellow at Odette School of Business, University of Windsor, Canada. Anand worked with Symbiosis International University, Pune, India for over six years. Since 2021, he is currently working as Research Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include AI based Nature Inspired optimization algorithms, and self-organizing systems. Anand pioneered optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, and Socio Evolution & Learning Optimization Algorithm. Anand is the founder of OAT Research Lab and has published over70 research papers in peer-reviewed reputed journals, chapters and conferences along with 7 authored and 15 edited books. Anand is the lead series editor for Springer and Taylor & Francis as well as editor of Elsevier journals. Anand also writes on AI in several newspapers and magazines. His Marathi book on AI received the prestigious Swatantrya Veer Savarkar Award in 2023. Anand has delivered expert research talks in countries such as the USA, Canada, Singapore, Malaysia, India, Australia, Dubai and France.  Naoufel Cheikhrouhou is Professor of Supply chain, Logistics and Operations Management at Geneva School of Business Administration University of Applied Sciences Western Switzerland. Previously, he was leading the Operations Management research group at the Swiss Federal Institute of Technology at Lausanne (EPFL). He graduated from the School of Engineers of Tunis and received his Ph D in Industrial Engineering from Grenoble Institute of Technology in 2001. His main research interests are modelling, simulation and optimisation of enterprise networks, behavioral operations management and Demand planning and forecasting. Dr. Cheikhrouhou received the Burbidge Award in 2003 and the BG Ingénieurs conseils Award in 2013 for his contribution to the research excellence in the fields. Leading different projects with the collaboration of national and international industrial companies, Naoufel Cheikhrouhou published more than 100 papers in scientific journals and conferences and regularly acts as keynote speaker in international academic and industrial conferences.