LEADER 06580nam 22006495 450 001 9910767525703321 005 20240312123224.0 010 $a981-9981-32-8 024 7 $a10.1007/978-981-99-8132-8 035 $a(MiAaPQ)EBC30971119 035 $a(Au-PeEL)EBL30971119 035 $a(DE-He213)978-981-99-8132-8 035 $a(CKB)29038517100041 035 $a(EXLCZ)9929038517100041 100 $a20231125d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e30th International Conference, ICONIP 2023, Changsha, China, November 20?23, 2023, Proceedings, Part VIII /$fedited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (638 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1962 311 08$aPrint version: Luo, Biao Neural Information Processing Singapore : Springer,c2024 320 $aIncludes bibliographical references and index. 327 $aTheory and Algorithms -- Multi-model smart contract vulnerability detection based on BiGRU -- Time-warp-invariant Processing with Multi-spike Learning -- ECOST: Enhanced CoST Framework for Fast and Accurate Time Series Forecasting -- Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience -- LCformer Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting -- Fashion Trend Forecasting Based on Multivariate Attention Fusion -- On Searching for Minimal Integer Representation of Undirected Graphs -- Multi-Scale Multi-Step Dependency Graph Neural Network for Multivariate Time Series Forecasting -- Q-Learning Based Adaptive Scheduling Method For Hospital Outpatient Clinics -- Temporal Task Graph based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games -- A Distributed kWTA for Decentralized Auctions -- Leveraging Hierarchical Similarities for Contrastive Clustering -- Reinforcement Learning-Based Consensus-Reaching in Large-Scale Social Networks -- Lateral Interactions Spiking Actor Network for Reinforcement Learning -- An Improved YOLOv5s for Glass Tube Defect Detection -- Label Selection Approach to Learning from Crowds -- New Stability Criteria for Markov Jump Systems under DoS Attacks and Packet Loss via Dynamic Event-triggered Control -- Image Blending Algorithm with Automatic Mask Generation -- Design of Memristor-based Binarized Multi-layer Neural Network with High Robustness -- FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting -- On the use of persistent homology to control the generalization capacity of a neural network -- On the use of persistent homology to control the generalization capacity of a neural network -- Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations -- Explainable Offensive Language Classifier -- Infrared Target Recognition Technology Based On Small Sample Learning -- An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning -- Event-Triggered Constrained $H_\infty$ Control Using Concurrent Learning and ADP -- Three-dimensional rotation knowledge representation learning based on graph context -- TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation -- Bias Reduced Methods to Q-learning -- A neural network architecture for accurate 4D vehicle pose estimation from monocular images with uncertainty assesment -- PSO-enabled Federated Learning for Detecting Ships in Supply Chain Management -- Federated Learning using the Particle Swarm Optimization model for the Early Detection of COVID-19 -- Domain Generalization via Implicit Domain Augmentation -- Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: LocalSubspace Minority Collapse -- Mutually Guided Dendritic Neural Models -- Social-CVAE: Pedestrian Trajectory Prediction using Conditional Variational Auto-Encoder -- Distributed Training of Deep Neural Networks: Convergence and Case Study -- Chinese Medical Intent Recognition Based on Multi-feature Fusion -- Multi-Mobile Object Motion Coordination with Reinforcement Learning -- Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks -- Heterogeneous Graph Prototypical Networks for Few-shot Node Classification -- Improving Deep Learning Powered Auction Design -- Link Prediction with Simple Path-Aware Graph Neural Networks -- Restore Translation Using Equivariant Neural Networks -- SDPSAT: Syntactic Dependency Parsing Structure-guided Semi-Autoregressive Machine Translation -- . 330 $aThe nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1962 606 $aPattern recognition systems 606 $aComputer science 606 $aData mining 606 $aData structures (Computer science) 606 $aInformation theory 606 $aAutomated Pattern Recognition 606 $aTheory and Algorithms for Application Domains 606 $aData Mining and Knowledge Discovery 606 $aData Structures and Information Theory 615 0$aPattern recognition systems. 615 0$aComputer science. 615 0$aData mining. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 14$aAutomated Pattern Recognition. 615 24$aTheory and Algorithms for Application Domains. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Structures and Information Theory. 676 $a745.05 702 $aLuo$b Biao 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767525703321 996 $aNeural Information Processing$92554499 997 $aUNINA LEADER 03328nam 22006495 450 001 9911016078703321 005 20250720130223.0 010 $a981-9627-24-9 024 7 $a10.1007/978-981-96-2724-0 035 $a(MiAaPQ)EBC32226719 035 $a(Au-PeEL)EBL32226719 035 $a(CKB)39672119900041 035 $a(DE-He213)978-981-96-2724-0 035 $a(EXLCZ)9939672119900041 100 $a20250720d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science and Applications $eProceedings of ICDSA 2024, Volume 1 /$fedited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (656 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1263 311 08$a981-9627-23-0 327 $aBrain Tumor Classification using Gabor Transform and ANN Classifier -- Leveraging Sentiment Analysis for Enhanced Educational Video Recommendations on YouTube-Easyfy -- V2SL: The speech to sign language translator -- Soft Computing Techniques Approaches in Battery Management System: A Review -- Survey on the Pivotal Role of Artificial Intelligence and Machine Learning in Shaping the Future of 6th Generation (6G) Communications. 330 $aThis book gathers outstanding papers presented at the 5th International Conference on Data Science and Applications (ICDSA 2024), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from July 17 to 19, 2024. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1263 606 $aComputational intelligence 606 $aData mining 606 $aCooperating objects (Computer systems) 606 $aInternet of things 606 $aComputational Intelligence 606 $aData Mining and Knowledge Discovery 606 $aCyber-Physical Systems 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aCooperating objects (Computer systems) 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aCyber-Physical Systems. 615 24$aInternet of Things. 676 $a006.3 700 $aNanda$b Satyasai Jagannath$01431767 701 $aYadav$b Rajendra Prasad$01588635 701 $aGandomi$b Amir H$01588636 701 $aSaraswat$b Mukesh$01373695 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911016078703321 996 $aData Science and Applications$93882660 997 $aUNINA