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Neural Computing for Advanced Applications = First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural Computing for Advanced Applications/ edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao.
Reminder of title:	First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings /
other author:	Zhang, Haijun.
Description:	XIV, 528 p. 222 illus., 160 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-7670-6
ISBN:	9789811576706

Neural Computing for Advanced Applications = First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings /
Neural Computing for Advanced ApplicationsFirst International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings /[electronic resource] :edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao. - 1st ed. 2020. - XIV, 528 p. 222 illus., 160 illus. in color.online resource. - Communications in Computer and Information Science,12651865-0929 ;. - Communications in Computer and Information Science,498.

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.

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.

ISBN: 9789811576706

Standard No.: 10.1007/978-981-15-7670-6doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Neural Computing for Advanced Applications = First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings /
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