06580nam 22006495 450 991076752570332120240312123224.0981-9981-32-810.1007/978-981-99-8132-8(MiAaPQ)EBC30971119(Au-PeEL)EBL30971119(DE-He213)978-981-99-8132-8(CKB)29038517100041(EXLCZ)992903851710004120231125d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNeural Information Processing 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VIII /edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (638 pages)Communications in Computer and Information Science,1865-0937 ;1962Print version: Luo, Biao Neural Information Processing Singapore : Springer,c2024 Includes bibliographical references and index.Theory 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 -- .The 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.Communications in Computer and Information Science,1865-0937 ;1962Pattern recognition systemsComputer scienceData miningData structures (Computer science)Information theoryAutomated Pattern RecognitionTheory and Algorithms for Application DomainsData Mining and Knowledge DiscoveryData Structures and Information TheoryPattern recognition systems.Computer science.Data mining.Data structures (Computer science)Information theory.Automated Pattern Recognition.Theory and Algorithms for Application Domains.Data Mining and Knowledge Discovery.Data Structures and Information Theory.745.05Luo BiaoMiAaPQMiAaPQMiAaPQBOOK9910767525703321Neural Information Processing2554499UNINA03426oam 22006494a 450 991104657100332120230720174522.0979-88-908556-7-1979-88-908556-8-81-4696-6282-5(CKB)5590000000441888(OCoLC)1243563475(MdBmJHUP)muse97473(MiAaPQ)EBC6523069(Au-PeEL)EBL6523069(EXLCZ)99559000000044188820210329d2021 uy 0engur|||||||nn|ntxtrdacontentcrdamediacrrdacarrierThe Thing about ReligionAn Introduction to the Material Study of Religions /David Morgan1st ed.Chapel Hill :The University of North Carolina Press,2021.©2021.1 online resource (1 online resource.)1-4696-6283-3 1-4696-6285-X Resources for Classroom Use -- Primary Texts, Key Terms, and Online Resources -- Writing Guide -- Bibliography to Support Student Research -- Notes -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- V -- W -- Y -- ZCover -- Half Title -- Title -- Copyright -- Contents -- Figures -- Acknowledgments -- Introduction: How Materiality Matters to the Study of Religion -- PART I. THEORIES AND DEFINITIONS -- Chapter 1. How Some Theories of Religion Dematerialize It -- Chapter 2. What Is the Material Study of Religion? -- Chapter 3. How Religions Happen Materially -- PART II. STUDYING MATERIAL RELIGION -- Chapter 4. The Power of Things: A History of Magic Wands -- Chapter 5. Notre-Dame de Paris: Religion and Time -- Chapter 6. Words and Things -- Conclusion: Things, Networks, and Agents"Common views of religion typically focus on the beliefs and meanings derived from revealed scriptures, ideas, and doctrines. David Morgan has led the way in radically broadening that framework to encompass the understanding that religions are fundamentally embodied, material forms of practice. This concise primer shows readers how to study what has come to be termed 'material religion' the ways religious meaning is enacted in the material world"--Provided by publisher.Space and timeReligious aspectsfast(OCoLC)fst01127633ReligionStudy and teachingfast(OCoLC)fst01093807Religion and culturefast(OCoLC)fst01093823Material cultureReligious aspectsfast(OCoLC)fst01766106ReligionStudy and teachingSpace and timeReligious aspectsMaterial cultureReligious aspectsReligion and cultureSpace and timeReligious aspects.ReligionStudy and teaching.Religion and culture.Material cultureReligious aspects.ReligionStudy and teaching.Space and timeReligious aspects.Material cultureReligious aspects.Religion and culture.200200Morgan David1957-1868260MdBmJHUPMdBmJHUPBOOK9911046571003321The Thing about Religion4476125UNINA