LEADER 04377nam 22007215 450 001 9910983394603321 005 20250630101733.0 010 $a9789819791125 010 $a981979112X 024 7 $a10.1007/978-981-97-9112-5 035 $a(CKB)37407292700041 035 $a(MiAaPQ)EBC31897175 035 $a(Au-PeEL)EBL31897175 035 $a(OCoLC)1499722556 035 $a(DE-He213)978-981-97-9112-5 035 $a(EXLCZ)9937407292700041 100 $a20250131d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovations in Electrical and Electronics Engineering $eProceedings of ICEEE 2024, Volume 2 /$fedited by Akhtar Kalam, Saad Mekhilef, Sheldon S. Williamson 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (764 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1295 311 08$a9789819791118 311 08$a9819791111 327 $a1. SPP CNN Spatial Pyramid Pooling for Optimizing Brain Tumor Classification -- 2. KAN PDEs A Novel Approach to Solving Partial Differential Equations Using Kolmogorov Arnold Networks Enhanced Accuracy and Efficiency -- 3. Dynamic Indian Sign Language Sentence Captioning System Using Machine Learning -- 4. The Rehab Reco A Therapy Recommender System for Dementia -- 5. Implementation of Machine learning and Ensemble learning models for the prediction of CKD and drugs side effect -- 6. Adverse Weather Object Detection using Customised YOLO models -- 7. Cryptographic Security and Decentralization A Blockchain based Approach to Healthcare Data Integrity -- 8. Predicting Brain Age Using Lightweight 3D CNN Architecture from T1 Weighted MRI Images -- 9. Performance analysis of a Deep Learning-based Object Detection Approach for Post disaster Buildings Damage Level Assessment using YOLO and Faster R CNN -- 10. LSTM based Predictive Leader Follower Control Scheme for Networked Drones. 330 $aThis book features selected high-quality papers presented at the 2024 International Conference on Electrical and Electronics Engineering (ICEEE 2024), Jointly organized by ADSRS Education and Research and Swinburne University of Technology, Melbourne, Australia during September 11-12, 2024, at Advanced Technologies Centre, Swinburne University of Technology, 427-451 Burwood Rd, Hawthorn VIC 3122. The book covers electrical engineering topics?power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, signal processing, and others. The book brings both single- and multidisciplinary research on these topics to provide the most up-to-date information in one place. The book offers an asset for researchers from both academia and industries involved in advanced studies. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1295 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aTelecommunication 606 $aArtificial intelligence 606 $aElectric power production 606 $aControl, Robotics, Automation 606 $aMicrowaves, RF Engineering and Optical Communications 606 $aArtificial Intelligence 606 $aElectrical Power Engineering 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aTelecommunication. 615 0$aArtificial intelligence. 615 0$aElectric power production. 615 14$aControl, Robotics, Automation. 615 24$aMicrowaves, RF Engineering and Optical Communications. 615 24$aArtificial Intelligence. 615 24$aElectrical Power Engineering. 676 $a621.3 700 $aKalam$b Akhtar$01784434 701 $aMekhilef$b Saad$01222191 701 $aWilliamson$b Sheldon S$0904010 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983394603321 996 $aInnovations in Electrical and Electronics Engineering$94316049 997 $aUNINA