LEADER 03812nam 22005775 450 001 9911047806103321 005 20251118120415.0 010 $a9789819662500 024 7 $a10.1007/978-981-96-6250-0 035 $a(CKB)43368488800041 035 $a(MiAaPQ)EBC32419918 035 $a(Au-PeEL)EBL32419918 035 $a(OCoLC)1553141570 035 $a(DE-He213)978-981-96-6250-0 035 $a(EXLCZ)9943368488800041 100 $a20251118d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCongress on Smart Computing Technologies $eProceedings of CSCT 2024, Volume 2 /$fedited by Mukesh Saraswat, Abhishek Rajan, Antorweep Chakravorty 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (978 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v122 311 08$a9789819662494 327 $aPlant Disease Detection using Deep Learning: A Focus on Pathogen-Based Classification -- NR2-A Novel Graph Based Encryption Algorithm -- Smart Computing Approaches to Adaptive Ensemble Learning for Detecting APT Threats through Network Behavior Anomalies -- Building a model of Physical Activity Recognition using Hierarchical AutoML -- Intelligent post-operative room Systems: A Cost-Effective Design for Enhanced Patient Care in Resource-Limited Settings -- United Against Hate: A Deep Learning Ensemble Approach for Robust Hate Speech and Offensive Language Detection -- Harnessing Grey Wolf Optimization for Enhanced Deep Learning CNN in Rheumatoid Arthritis X-ray Analysis -- Enhancing Anomaly Detection in IoT Systems with an Ensemble of Machine Learning Algorithms -- Harnessing Machine Learning for Accurate Water Quality Monitoring and Prediction -- Anomaly Detection in DC Distribution Systems: A Wavelet and Autoencoder-based Method.-Etc. . 330 $aThis book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2024) organized by Soft Computing Research Society (SCRS), held at National Institute of Technology Sikkim from 14 to 15 December 2024. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human?computer interaction. The book is presented in two volumes. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v122 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aInternet of things 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aInternet of Things. 676 $a004 700 $aSaraswat$b Mukesh$01373695 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047806103321 996 $aCongress on Smart Computing Technologies$94478025 997 $aUNINA