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[null,"1.","Record Nr.",null,"UNINA9911034940403321"]
[null,null,"Autore",null,"Ghonge Mangesh M"]
[null,null,"Titolo",null,"Advances in Emerging Technologies and Computing Innovations : Proceedings of First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025) / / edited by Mangesh M. Ghonge, Haipeng Liu, Mudassir Khan, Tien Anh Tran"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-92854-7"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (967 pages)"]
[null,null,"Collana",null,"Sustainable Artificial Intelligence-Powered Applications, IEREK Interdisciplinary Series for Sustainable Development, , 3005-1770"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Data Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"A Bayesian Network to Model the Influence of Energy Consumption on Greenhouse Gases in Italy -- ISIS: IoT Enabled Smart Irrigation System.-Advancing Educational Insights: A Review of Machine Learning and Deep Learning Approaches for Analyzing Students' Study Habits -- Exploring Deepfake Generation and Detection Techniques: Challenges, Datasets, and Emerging Solutions -- Advances in Retrieval-Augmented Generation Frameworks: A Comprehensive Review of NLP Applications for Women Empowerment and Social Justice -- Optimizing Indoor Positioning Systems with Machine Learning and RSS-based Algorithms -- Towards Precision in Skin Cancer Diagnosis: A Deep Learning Framework for Segmentation and Severity Analysis -- Biomarker Discovery in Alzheimer’s Disease Using Machine Learning -- Role of Machine Learning Approaches to Enhance Security Mechanisms in Wireless Sensor Networks -- Evolution of Malicious URL Detection: A Review of Techniques for Malicious URL Detection and Classification."]
[null,null,null,"Sommario/riassunto","This book is considered as an essential medium to introduce the up-to-date findings, new level research, and developing fields in the area of technology and computing for First International Conference on "]
[{"$nulls":4},"Emerging Technologies and Computing Innovations (ICETCI-2025). The objective of the ICETCI-2025 is to provide a platform to highlight state-of-the-art research work and innovative findings in technology and computing. The conference is focused on filling the gap between modern theoretical improvements and real-life issues by providing a platform for discussions among experts in different areas concerning innovative fields like AI, ML, big data, blockchain, IoT giant computing, etc. ICETCI-2025 benefits from being a multidisciplinary approach for a broad set of emerging technologies. The conference aims to foster the exchange of ideas and experiences by bringing together leaders, researchers, academics, industry practitioners as well as policymakers. Much of the diversity they provide aids unconventional thinking, applicable implementation, and strategic growth that tackles current as well as future technology hurdles. ICETCI-2025 proceedings present high quality research papers, case studies and reviews focusing on state of the art developments in domains like artificial intelligence, big data analytics, cybersecurity and privacy, IoT and blockchain and cloud computing. By collaborating with academia, industry leaders, and policymakers, these proceedings are essential for bringing attention to emerging trends and best practices. They play a critical role in promoting knowledge, stimulating innovation, and providing cross-disciplinary support to help drive technological development. This book is aimed at researchers, academics, graduate students, industry professionals, and policymakers who have an interest in the field of computing, information technologies, and their application."]