Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part II / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li

• Record Nr.: UNINA9910765489803321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• ISBN: 981-9980-82-8
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (607 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 14448
• Disciplina: 006.3
• Soggetti: Pattern recognition systems; Data mining; Machine learning; Social sciences - Data processing; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Machine Learning; Computer Application in Social and Behavioral Sciences
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Theory and Algorithms -- Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights -- Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers -- A Framework of Large-Scale Peer-to-Peer Learning System -- Optimizing 3D UAV Path Planning: An Approach Incorporating Multiple Mechanisms and Beluga Whale Optimizer -- Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control -- PatchFinger: A Model Fingerprinting Scheme based on Adversarial Patch -- Attribution of Adversarial Attacks via Multi-Task Learning -- A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings -- A Novel Machine Learning Model using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption -- Two-Stage Attention Model to Solve Large-Scale ; Traveling Salesman Problems -- Learning Primitive-aware Discriminative Representations for Few-shot Learning -- Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism -- Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters -- Enhanced State-Aware Traffic Light Optimization Control Method -- Impulsive Accelerated Reinforcement Learning for H∞ Control -- MRRC: Multi-Agent Reinforcement Learning with Rectification Capability in Cooperative Tasks -- Latent Causal Dynamics Model for Model-based Reinforcement Learning -- Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease -- Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation -- Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis -- New predefined-time stability theorem and applications to the fuzzy stochastic memristive neural networks with impulsive effects -- Removing Double Descent with Data-dependent Regularization under Non-Asymptotic View -- FE-YOLOv5:Improved YOLOv5 Network for Multi-scale Drone-captured Scene Detection -- An Improved NSGA-II for UAV Path Planning -- Reimagining China-US Relations Prediction: A Multi-Modal, Knowledge-Driven Approach with KDSCINet -- A Graph Convolution Neural Network for User-group Aided Personalized Session-based Recommendation -- Disentangling Node Metric Factors For Temporal Link Prediction -- Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning -- SLAM: A Lightweight Spatial Location Attention Module for Object Detection -- A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis -- Efficient Collaboration via Interaction Information in Multi-Agent System -- A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance -- Few-shot Anomaly Detection in Text with Deviation Learning -- MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions -- Two-Phase Semantic Retrieval For Explainable Multi-Hop Question Answering -- Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds -- Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate -- CAS-NN: a robust cascade neural network without compromising clean accuracy -- Multi-Scale Information Fusion Combined with Residual Attention for Text Detection -- Encrypted-SNN: A Privacy-Preserving Method for converting Artificial Neural Networks to Spiking Neural Networks -- PoShapley-BCFL: A fair and robust decentralized federated learning based on blockchain and the proof of Shapley-value -- Small-World Echo State Networks for Nonlinear Time-Series Prediction -- Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction -- 6D Object Pose Estimation with Attention Aware Bi-Gated Fusion.
• Sommario/riassunto: The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. .

China's new urbanization strategy / / China Development Research Foundation

• Record Nr.: UNINA9910960501603321
• Pubbl/distr/stampa: London ; ; New York : , : Routledge, , 2013
• ISBN: 1-138-48176-9; 0-203-07493-9; 1-299-44814-3; 1-135-11720-9
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (382 p.)
• Collana: Routledge studies on the Chinese economy ; ; 49
• Disciplina: 307.760951
• Soggetti: Urbanization - China; City planning - China; Rural-urban migration - China
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; China's New Urbanization Strategy; Title Page; Copyright Page; Table of Contents; List of illustrations; Project team; Preface I; Preface II; Acknowledgements; Introduction; 1 Urbanization in China: process, trends, and challenges; 2 Converting rural migrant workers into urban residents in the course of urbanization; 3 Setting up a spatial configuration for 'urbanization' in China that features 'two horizontal lines and three vertical lines'; 4 Making 'urban clusters' the primary form of urbanization in China; 5 Industrial structure and employment considerations in the course of urbanization6 How to improve the provision of public services in urban areas; 7 Creating sustainable processes for building and financing urban infrastructure; 8 A 'green path' toward urbanization; 9 Innovative approaches to managing 'urbanization' and 'city governance'; 10 Policy recommendations; Appendices; Bibliography; English references; Index
• Sommario/riassunto: Urbanization is one of the major challenges facing China. Of China's 1.3 billion people, around half still live in rural areas. There has been huge migration from rural areas to cities in recent years, a trend that is likely to continue strong for some time. The strains that this vast ; migration puts on China's cities are enormous. This book makes available for the English-speaking reader the results of a large group of research projects undertaken by CDRF, one of China's leading think tanks, into the details of rural-urban migration, the resulting urban growth and the problems associated wi