Описание: This book constitutes the refereed proceedings of the 11th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2020, held in Shenzhen, China, in December 2020.The 37 revised full papers presented were carefully reviewed and selected from 75 submissions.
Описание: This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. machine learning algorithm and Intelligent networks.
Описание: This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021.The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. dynamic multi-objective optimization;
Описание: This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. They deal with parallel and distributed computing in general, focusing on support tools and environments; theory and algorithms for parallel and distributed processing;
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.
Описание: This book constitutes the proceedings of the 7th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2019, which was held in conjunction with MICCAI on October 17, 2019, in Shenzhen, China.
Автор: Zhang, Bob (univ Of Macau, China) Zhao, Qijun (sichuan Univ, China) Zhang, David (the Chinese Univ Of Hong Kong (shenzhen), China.) Название: Facial multi-characteristics and applications ISBN: 9813234571 ISBN-13(EAN): 9789813234574 Издательство: World Scientific Publishing Рейтинг: Цена: 22176.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications -- facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features -- are identified.
This classification system is summarized in the diagram below:
The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.
Автор: Jong Hyuk Park; Hong Shen; Yunsick Sung; Hui Tian Название: Parallel and Distributed Computing, Applications and Technologies ISBN: 9811359067 ISBN-13(EAN): 9789811359064 Издательство: Springer Рейтинг: Цена: 11738.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 19th International Conference on CParallel and Distributed Computing, Applications and Technologies, PDCAT 2018, held in Jeju Island, South Korea, in August 2018. The 35 revised full papers presented along with the 14 short papers and were carefully reviewed and selected from 150 submissions. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.
Автор: Kim-Meow Liew; Hong Shen; Simon See; Wentong Cai; Название: Parallel and Distributed Computing: Applications and Technologies ISBN: 3540240136 ISBN-13(EAN): 9783540240136 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains the combined proceedings of the 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network (UCAWSN-15) and the 16th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT-15).
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Industrial IoT Technologies and Applications, IoT 2020, held in December 2020.
Описание: The main objective of this book is to explore the concept of cybersecurity in parallel and distributed computing along with recent research developments in the field. It also includes various real-time/offline applications and case studies in the fields of engineering and computer science and the modern tools and technologies used. Information on cybersecurity technologies is organized in the fifteen chapters of this book.
This important book cover subjects such as: Research and solutions for the problem of hidden image detectionSecurity aspects of data mining and possible solution techniquesA comparative analysis of various methods used in e-commerce security and how to perform secure payment transactions in an efficient mannerBlockchain technology and how it is crucial to the security industrySecurity for the Internet of ThingsSecurity issues and challenges in distributed computing security such as heterogeneous computing, cloud computing, fog computing, etc. Demonstrates the administration task issue in unified cloud situations as a multi-target enhancement issue in light of securityExplores the concepts of cybercrime and cybersecurity and presents the statistical impact it is having on organizationsHighlights some strategies for maintaining the privacy, integrity, confidentiality and availability of cyber information and its real-world impacts such as mobile security software for secure email and online banking, cyber health check programs for business, cyber incident response management, cybersecurity risk managementSecurity policies and mechanisms, various categories of attacks (e.g., denial-of-service), global security architecture, along with distribution of security mechanismsSecurity issues in the healthcare sector with existing solutions and emerging threats.
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