Neural Computing for Advanced Applications [[electronic resource] ] : First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings / / edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XIV, 528 p. 222 illus., 160 illus. in color.)
• Disciplina: 006.32
• Soggetto topico: Artificial intelligence; Computers; Computer science—Mathematics; Application software; Education—Data processing; Computer organization; Artificial Intelligence; Information Systems and Communication Service; Mathematics of Computing; Computer Appl. in Social and Behavioral Sciences; Computers and Education; Computer Systems Organization and Communication Networks
• Persona (resp. second.): ZhangHaijun; ZhangZhao; WuZhou; HaoTianyong
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Adaptive Multiple-view Label Propagation for Semi-Supervised Classication -- Container Damage Identication based on Fmask-RCNN -- Multiagent Reinforcement Learning for Combinatorial Optimization -- Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for An Anchor-Hole Driller -- Exploring Multi-scale Deep Encoder-decoder and PatchGAN for Perceptual Ultrasound Image Super-resolution -- Reliable neighbors-based Collaborative Filtering for Recommendation Systems -- Downhole condition identication for geological drilling processes based on qualitative trend analysis and expert rules -- Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems -- Mengh Generalized Locally-linear embedding: A Neural Network Implementation -- Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine -- Tailored Pruning via Rollback Learning -- Coordinative Hyper-Heuristic Resource Scheduling in Mobile Cellular Networks -- Latent Sparse Discriminative Learning for Face Image Set Classication -- Sparse multi-task least-squares support vector machine -- Discriminative Subspace Learning for Cross-view Classication with Simultaneous Local and Global Alignment -- A Recognition Method of Hand Gesture based on Dual-SDAE -- Image Generation from Layout via Pair-wise RaGAN -- Learning Unsupervised Video Summarization with Semantic-consistent Network -- Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables -- 2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making -- Cross-Modal N-Pair Network for Generalized Zero-Shot Learning -- A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph -- Deep K-Means: A Simple and Eective Method for Data Clustering -- Brain Storm Optimization Algorithms: A Brief Review -- A Binary Superior Tracking Articial Bee Colony for Feature Selection -- A Hybrid Neural Network RBERT-C based on Pre-trained RoBERTa and CNN for User Intent Classication -- Image Registration Algorithm Based on Manifold Regularization with Thin-plate Spline Model -- Optimal Control of Nonlinear Time-delay Systems with Input Constraints Using Reinforcement Learning -- Disaggregated Power System Signal Recognition using Capsule Network -- Design of echo state network with coordinate descent method and l1 regularization -- An advanced actor-critic algorithm for training video game AI -- Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass -- A Novel Collision-Avoidance TDMA MAC Protocol for Fog-assisted VCNs -- Design optimization of plate-n heat exchanger using sine cosine algorithm -- Mr-ResNeXt:A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea -- Scalable Multi-Agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games -- Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction -- Multi-period Distributed Delay-sensitive Tasks Ooading in a Two-layer Vehicular Fog Computing Architecture -- Template-Enhanced Aspect Term Extraction with Bi-contextual Convolutional Neural Networks -- Privacy Sensitive Large-Margin Model for Face De-identication -- Balancing of Bike-sharing networks via constrained model predictive control -- RLV Reentry Trajectory Optimization Design Based on Improved Differential Evolution Algorithm -- A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition.
• Sommario/riassunto: This book presents refereed proceedings of the First International Conference Neural Computing for Advanced Applications, NCAA 2020, held in July, 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full papers and 7 short papers were thorougly reviewed and selected from a total of 113 qualified submissions. Thes papers present resent research on such topics as neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, and natural language processing, machine translation, knowledge graphs, and their applications.
• Titolo autorizzato: Neural Computing for Advanced Applications
• ISBN: 981-15-7670-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465443903316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 1265