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Neural Computing for Advanced Applications: First International Conference, NCAA 2020, Shenzhen, China, July 35, 2020, Proceedings 1st ed. 2020 [Pehme köide]

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  • Formaat: Paperback / softback, 528 pages, kõrgus x laius: 235x155 mm, kaal: 825 g, 160 Illustrations, color; 62 Illustrations, black and white; XIV, 528 p. 222 illus., 160 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1265
  • Ilmumisaeg: 13-Aug-2020
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811576696
  • ISBN-13: 9789811576690
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  • Formaat: Paperback / softback, 528 pages, kõrgus x laius: 235x155 mm, kaal: 825 g, 160 Illustrations, color; 62 Illustrations, black and white; XIV, 528 p. 222 illus., 160 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1265
  • Ilmumisaeg: 13-Aug-2020
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811576696
  • ISBN-13: 9789811576690
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.
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 Memoryfor 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.