Neural Computing for Advanced Applications : Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II (Communications in Computer and Information Science)

個数：

Neural Computing for Advanced Applications : Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II (Communications in Computer and Information Science)

Zhang, Haijun (EDT)/ Chen, Yuehui (EDT)/ Chu, Xianghua (EDT)

ウェブストア価格 ¥11,226（本体¥10,206）
Springer Verlag, Singapore（2022/11発売）
外貨定価 US$ 54.99
ポイント 102pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合、分割発送となる場合がございます。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 520 p.
言語 ENG
商品コード 9789811961342

Full Description

The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8-10, 2022.
The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., 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 theirindustrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).

Dynamic Community Detection via Adversarial Temporal Graph Representation Learning.- Research on Non-intrusive Household Load Identification Method Applying LightGBM.- Master Multiple Real-Time Strategy Games with a Unified Learning Model Using Multi-Agent Reinforcement Learning.- Research on Visual Servo Control System of Substation Insulator Washing Robot.- A Dual-size Convolutional Kernel CNN-based Approach to EEG Signal Classification.- Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot.- Short-Term Wind Power Prediction Based on Convolutional Neural Network-Bidirectional Long Short-Term Memory Network.- Fault Arc Detection Method Based on Multi Feature Analysis and PNN.