Applied Cognitive Computing
C. S. R. E. A. (Verlag)
9781601324498 (ISBN)
This volume contains the proceedings of the 2017 International Conference on Applied Cognitive Computing (ACC'17).
Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.
Multi-Agent Technologies, Humanized Software Agents, Robotics, Human Machine Interaction, and Applications
Robby the Soda-can-collecting Robot: a Reinforcement Learning Case Study
The Preparation of an Intelligent Tutoring System for Relational Algebra
A Simple Example of Emergence
Multi-Attribute Task Battery for Human-Machine Teaming
A Multi-agent Based Cognitive Approach to Unsupervised Feature Extraction and Classification for Network Intrusion Detection
Machine Learning, Deep Learning, Reinforcement Learning, Neural Networks, Fuzzy Systems, and Applications
A Computational Approach for Detecting Intrusion in Communication Network Using Machine Learning
An Adaptive IPFC Damping Controller Design for Low-Frequency Oscillation Enhancement: A Q-Learning Strategy
Method of Ontology Data Automatic Generating for Semantic Interaction between IoT Resource
A Modified Speech Enhancement Model Based on Deep Neural Networks
A Cognitive Multi-agent Model to Detect Malicious Threats
NSGAII-Based Fuzzy PID Controller for Load Frequency Control of Multi-Microgrids
Poster And Position Papers
Improving Cognitively Impaired People by Innovative Technologies
A Study on Effective R&D Analysis Using Fuzzy Engineering & Cognitive Inference Systems
| Erscheinungsdatum | 08.01.2018 |
|---|---|
| Reihe/Serie | The 2017 WorldComp International Conference Proceedings |
| Verlagsort | Bogart |
| Sprache | englisch |
| Maße | 203 x 279 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-13 | 9781601324498 / 9781601324498 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
