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Product details:
- ISBN 10: 3030551903
- ISBN 13: 9783030551902
- Author: Kohei Arai
The book Intelligent Systems and Applications – Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.
Table of contents:
- Multimodal Affective Computing Based on Weighted Linear Fusion
- Sociophysics Approach of Simulation of Mass Media Effects in Society Using New Opinion Dynamics
- ORTIA: An Algorithm to Improve Quality of Experience in HTTP Adaptive Bitrate Streaming Sessions
- Methods and Means for Analyzing Heat-Loss in Buildings for Increasing Their Energy Efficiency
- The Energy Conservation and Consumption in Wireless Sensor Networks Based on Energy Efficiency Clustering Routing Protocol
- Intelligent Control of Traffic Flows Under Conditions of Incomplete Information
- Virtual Dog
- Context-Aware Transfer of Task-Based IoT Service Settings
- Agent-Based Architectural Models of Supply Chain Management in Digital Ecosystems
- A Deep Insight into Signature Verification Using Deep Neural Network
- Measures to Ensure the Reliability of the Functioning of Information Systems in Respect to State and Critically Important Information Systems
- IoTManager: Concerns-Based SDN Management Framework for IoT Networks
- JomImage: Weight Control with Mobile SnapFudo
- Smart Assist System for Driver Safety
- On the Applicability of 2D Local Binary Patterns for Identifying Electrical Appliances in Non-intrusive Load Monitoring
- Management of Compressed Air to Reduce Energy Consumption Using Intelligent Systems
- Multi-platform Mission Planning Based on Distributed Planning Method
- Development of Artificial Intelligence Based Module to Industrial Network Protection System
- Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models
- Agent-Based Simulation for Testing Vehicle-On-Demand Services in Rural Areas
- Overcrowding Detection Based on Crowd-Gathering Pattern Model
- Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
- Predicting Vehicle Passenger Stress Based on Sensory Measurements
- Infinite Mixtures of Gaussian Process Experts with Latent Variables and its Application to Terminal Location Estimation from Multiple-Sensor Values
- Flying Sensor Network Optimization Using Bee Intelligence for Internet of Things
- A Quantum Model for Decision Support in a Sensor Network
- Design and Implementation of a Flexible Platform for Remote Monitoring of Environmental Variables
- Adaptable Embedding Algorithm to Secure Stream Data in the Wireless Sensor Network
- Intelligent Monitoring Systemof Environmental Biovariables in Poultry Farms
- Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal
- A Convolutional Neural Network Approach for Quantification of Tremor Severity in Neurological Movement Disorders
- Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction
- Colorimetric Analysis of Images Based on Objective Color Data
- A Deep Learning-Based Approach for the Classification of Gait Dynamics in Subjects with a Neurodegenerative Disease
- Smartphone-Based Diabetic Retinopathy Severity Classification Using Convolution Neural Networks
- Alzheimer Disease Prediction Model Based on Decision Fusion of CNN-BiLSTM Deep Neural Networks
- On Mistakes We Made in Prior Computational Psychiatry Data Driven Approach Projects and How They Jeopardize Translation of Those Findings in Clinical Practice
- Machine Learning Strategies to Distinguish Oral Cancer from Periodontitis Using Salivary Metabolites
- Smart Guide System for Blind People by Means of Stereoscopic Vision
- An IoMT System for Healthcare Emergency Scenarios
- Introducing Time-Delays to Analyze Driver Reaction Times When Using a Powered Wheelchair
- Intelligent Control and HCI for a Powered Wheelchair Using a Simple Expert System and Ultrasonic Sensors
- Intelligent System to Analyze Data About Powered Wheelchair Drivers
- Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer
- Intelligent Risk Prediction of Storage Tank Leakage Using an Ishikawa Diagram with Probability and Impact Analysis
- Use of the Analytical Hierarchy Process to Determine the Steering Direction for a Powered Wheelchair
- Methodology of Displaying Surveillance Area of CCTV Camera on the Map for Immediate Response in Border Defense Military System
- Detecting Control Flow Similarities Using Machine Learning Techniques
- Key to Artificial Intelligence (AI)
- US Traffic Sign Recognition Using CNNs
- Grasping Unknown Objects Using Convolutional Neural Networks
- A Proposed Technology IoT Based Ecosystem for Tackling the Marine Beach Litter Problem
- Machine Learning Algorithms for Preventing IoT Cybersecurity Attacks
- Development of Web-Based Management System and Dataset for Radiology-Common Data Model (R-CDM) and Its Clinical Application in Liver Cirrhosis
- Shared Autonomy in Web-Based Human Robot Interaction
- tanh Neurons Are Bayesian Decision Makers
- Solving Jigsaw Puzzles Using Variational Autoencoders
- Followers of School Shooting Online Communities in Russia: Age, Gender, Anonymity and Regulations
- Discrimination of Chronic Liver Disease in Non-contrast CT Images using CNN-Deep Learning
- Analysis and Classification of Urinary Stones Using Deep Learning Algorithm: A Clinical Application of Radiology-Common Data Model (R-CDM) Data Set
- Intelligent Monitoring Using Hazard Identification Technique and Multi-sensor Data Fusion for Crude Distillation Column
- Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework
- RADAR: Fast Approximate Reverse Rank Queries
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