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Intelligent Systems for Smart Cities: Select Proceedings of the 2nd International Conference, ICISA 2023 de Anand J. Kulkarni

Intelligent Systems for Smart Cities: Select Proceedings of the 2nd International Conference, ICISA 2023

Editat de Anand J. Kulkarni, Naoufel Cheikhrouhou
en Limba Engleză Paperback – 3 ian 2024

În domeniul emergent al tehnologiilor pentru orașe inteligente, Intelligent Systems for Smart Cities reprezintă o sinteză tehnică a celor mai recente cercetări prezentate în cadrul conferinței ICISA 2023. Subliniem faptul că volumul nu se limitează la aspecte teoretice, ci propune soluții computaționale pentru provocări urbane concrete, de la securitatea rețelelor de trafic la managementul infrastructurii rutiere prin IoT. Reținem din cuprins progresia de la platforme de management al evenimentelor bazate pe sisteme de recomandare, până la soluții de detectare a atacurilor DDoS în traficul de date al orașelor inteligente.

Considerăm că această lucrare continuă direcția începută de Anand J. Kulkarni în volumele sale anterioare, precum Optimization Methods for Product and System Design sau Multiple Criteria Decision Making. Dacă lucrările precedente se concentrau pe fundamentele matematice ale optimizării, volumul de față aplică aceste principii în scenarii complexe de „smart city”, precum optimizarea stocurilor în retail sau arhitecturile zero-trust în lanțurile de aprovizionare. Complementar volumului Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, care pune un accent deosebit pe sistemele cibernetico-fizice, lucrarea de față extinde analiza către dimensiunea socială și de securitate, incluzând studii despre identificarea cyberbullying-ului pe platformele sociale și recunoașterea facială în timp real.

Structura este organizată tematic, facilitând accesul cercetătorilor la studii de caz specifice: de la utilizarea algoritmilor de „Deep Learning” pentru supravegherea aeriană a dronelor, până la implementarea sistemelor automate de taxare prin recunoaștere optică a caracterelor. Această abordare practică transformă volumul într-o resursă tehnică valoroasă pentru cei care dezvoltă infrastructuri urbane reziliente și sustenabile.

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Specificații

ISBN-13: 9789819969838
ISBN-10: 9819969832
Pagini: 535
Ilustrații: XII, 535 p. 205 illus., 155 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.95 kg
Ediția:1st ed. 2024
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm acest volum profesioniștilor din IT și planificare urbană care caută implementări specifice de Machine Learning în infrastructura publică. Cititorul câștigă acces la metodologii validate pentru securizarea rețelelor smart și eficientizarea logisticii urbane. Este un ghid tehnic esențial pentru înțelegerea modului în care algoritmii de optimizare și viziunea artificială pot rezolva problemele reale ale orașelor moderne.

Despre autor

Anand J. Kulkarni este un cercetător recunoscut în domeniul inteligenței artificiale, specializat în algoritmi de optimizare și metode de luare a deciziilor. Experiența sa editorială este vastă, coordonând lucrări de referință despre designul sistemelor și optimizarea multicriterială. În calitate de editor al acestui volum publicat de Springer, Kulkarni aduce o perspectivă riguroasă asupra modului în care metodele de optimizare avansată pot fi integrate în arhitecturile complexe ale orașelor inteligente.

Descriere scurtă

This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.

Cuprins

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.- QuickTag: A Machine Learning Based Automated Toll Collection System Using Optical Character Recognition.- IoT 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.- IoT-based Smart System for Real-time Drowsy Driver Detection and Response.

Notă biografică

Anand J. Kulkarni holds a PhD 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 SwatantryaVeer 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 PhD 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.

Caracteristici

Comprises peer-reviewed proceedings of the conference ICISA 2023 Covers the latest research in technological advances in the field of artificial intelligence and machine learning Enriches understanding by including contributions from leading experts in the field