LEADER 05106nam 22006015 450 001 9911034940403321 005 20251022130421.0 010 $a3-031-92854-7 024 7 $a10.1007/978-3-031-92854-3 035 $a(CKB)41696271700041 035 $a(MiAaPQ)EBC32372366 035 $a(Au-PeEL)EBL32372366 035 $a(DE-He213)978-3-031-92854-3 035 $a(EXLCZ)9941696271700041 100 $a20251022d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Emerging Technologies and Computing Innovations $eProceedings of First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025) /$fedited by Mangesh M. Ghonge, Haipeng Liu, Mudassir Khan, Tien Anh Tran 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (967 pages) 225 1 $aSustainable Artificial Intelligence-Powered Applications, IEREK Interdisciplinary Series for Sustainable Development,$x3005-1770 311 08$a3-031-92853-9 327 $aA 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. 330 $aThis book is considered as an essential medium to introduce the up-to-date findings, new level research, and developing fields in the area of technology and computing for First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025). The objective of the ICETCI-2025 is to provide a platform to highlight state-of-the-art research work and innovative findings in technology and computing. The conference is focused on filling the gap between modern theoretical improvements and real-life issues by providing a platform for discussions among experts in different areas concerning innovative fields like AI, ML, big data, blockchain, IoT giant computing, etc. ICETCI-2025 benefits from being a multidisciplinary approach for a broad set of emerging technologies. The conference aims to foster the exchange of ideas and experiences by bringing together leaders, researchers, academics, industry practitioners as well as policymakers. Much of the diversity they provide aids unconventional thinking, applicable implementation, and strategic growth that tackles current as well as future technology hurdles. ICETCI-2025 proceedings present high quality research papers, case studies and reviews focusing on state of the art developments in domains like artificial intelligence, big data analytics, cybersecurity and privacy, IoT and blockchain and cloud computing. By collaborating with academia, industry leaders, and policymakers, these proceedings are essential for bringing attention to emerging trends and best practices. They play a critical role in promoting knowledge, stimulating innovation, and providing cross-disciplinary support to help drive technological development. This book is aimed at researchers, academics, graduate students, industry professionals, and policymakers who have an interest in the field of computing, information technologies, and their application. 410 0$aSustainable Artificial Intelligence-Powered Applications, IEREK Interdisciplinary Series for Sustainable Development,$x3005-1770 606 $aArtificial intelligence 606 $aMachine learning 606 $aArtificial intelligence$xData processing 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aData Science 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aArtificial intelligence$xData processing. 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aData Science. 676 $a006.3 700 $aGhonge$b Mangesh M$01198480 701 $aLiu$b Haipeng$01788458 701 $aKhan$b Mudassir$01840959 701 $aTran$b Tien Anh$01853405 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911034940403321 996 $aAdvances in Emerging Technologies and Computing Innovations$94449513 997 $aUNINA