THE WORLD CONGRESS IN COMPUTER SCIENCE, COMPUTER ENGINEERING,
AND APPLIED COMPUTING

The 2017 WorldComp International Conference Proceedings Series Read Description

Artificial Intelligence

Paperback
February 2018
9781601324603
More details
  • Publisher
    CSREA
  • Published
    1st February 2018
  • ISBN 9781601324603
  • Language English
  • Pages 542 pp.
  • Size 8" x 11"
$169.95
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March 2018
9781683921844
More details
  • Publisher
    CSREA
  • Published
    6th March 2018
  • ISBN 9781683921844
  • Language English
  • Pages 542 pp.
  • Size 8" x 11"
$79.95

This volume contains articles and papers that were presented at the 2017 International Conference on Artificial Intelligence (ICAI'17). The conference serves researchers, scholars, professionals, students, and academicians.

BIO-INSPIRED COMPUTING, AGENT TECHNOLOGIES, SWARM INTELLIGENCE, AND OPTIMIZATION
Comparative Analysis of Swarm Intelligence Techniques for Data Classification
Optimization of Mathematical Functions using the Algorithm of Self-defense of the Plants
Multi-Objective Allocation of DG Simultaneous with Capacitor and Protective Device Including Load Model
Genetic Algorithm Based Discriminant Feature Selection for Improved Fault Diagnosis of Induction Motor
The Evolutional Portfolio Optimization System (EPOS)
Scheduling with Divide and Conquer Genetics - A Model and Implementation
Can the Mechanisms of Self-organization Help our Cities in Following the Scaling Laws of Biology?

LOGIC, FUZZY LOGIC, FUZZY CONTROL, BAYESIAN METHODS, AND APPLICATIONS
Fuzzy Multi-objective Optimized with Efficient Energy and Time-varying Price for EV Charging System
A Gravitational Search Algorithm using Fuzzy Adaptation of Parameters for Optimization of Ensemble Neural Networks in Medical Imaging
A Novel Fuzzy Approach to Urban Vehicle Location Scheme based on Fuzzy Kalman Filtering
FISTA - A Fuzzy Inference System Tool
Fuzzy Logic-Based Load Frequency Control in a Nonlinear Deregulated Multi-Source Power System

COGNITIVE COMPUTING, LEARNING METHODOLOGIES AND APPLICATIONS
An Empirical Characterization of Parsimonious Intention Inference for Cognitive-level Imitation Learning
Abductive Artificial Intelligence Learning Models
Transformation Based Methods Extracting Multiple Views for Co-training Algorithms
Loading Discriminative Feature Representations in Hidden Layer
TensorDB: Database Infrastructure for Continuous Machine Learning
Investigation of Machine Learning Algorithms for the Classification of Atmospheric Measurements
The Design of Predictive Model for the Academic Performance of Students at University based on Machine Learning
A CRF Machine Learning Model Reinforced by Ontological Knowledge for Document Summarization

ARTIFICIAL INTELLIGENCE, NOVEL APPLICATIONS AND CONCEPTS
Artificial Intelligence in Robotic Communications, Integration, and Interoperability to Improve Situational Awareness
SNR-multiconditon Approaches of Robust Speaker Model Compensation Based on PLDA in Practical Environment
Synergy of Artificial Intelligence Projects in Faculty-Student Research
An Application of Automatic Presence / Absence Operation by BLE Beacon Carried by Worker to Intelligent Lighting System
Diagrammatic Representation of Some Aspects of the Notion of Causation
Human-AI Collaboration Concepts
Method to Add New Concepts to Concept-Base using Wikipedia
Optimized Mobile Robotic Navigation based on Fuzzy Logic Control
Filter and Wrapper-based Feature Selection Using Mutual Information for Rolling Elements Bearing Diagnosis
Combined Heat and Power Economic Dispatch Solution Using Iterative Cultural Algorithm

NATURAL LANGUAGE PROCESSING, MACHINE TRANSLATION, TEXT AND WORD CATEGORIZATION, AND RELATED TOPICS
Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles
Justifying The Use of An Adjective of a Notion
Table based KNN for Article Classification

NEURAL NETWORKS AND NOVEL APPLICATIONS
Using Multi-Layer Perceptrons for Analysis of Labour Data
Implementation of a TensorFlow Convolutional Neural Network to Discriminate Similar Gene Functions
A Model to Forecast Wind Speed through Singular Spectrum Analysis and Artificial Neural Networks
Soil Moisture Modeling using G Artificial Neural Network
New Classification Technique Using Neural Networks And Genetic Algorithms

ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION
The Kasai Algorithm
Logical Analysis of Data (LAD) - Usage and Experimentation

XVII TECHNICAL SESSION ON APPLICATIONS OF ADVANCED AI TECHNIQUES TO INFORMATION MANAGEMENT FOR SOLVING COMPANY-RELATED PROBLEMS
Application of Soft-Computing Techniques for Analysis of External Influential Factors in the Emotional Interpretation of Visual Stimuli
An Entity Profile Schema for Data Integration in an Academic Metasearch Engine
Solving Vehicle Routing Problem with Multiple Trips using Iterative Local Search with Variable Neighbourhood Search
New Challenges of Copyright Authorship in AI
Weighted Graphs to Model Causality
Rolling Genetic Support Vector Regressions: An Inflation Forecasting Application in Germany and Greece

POSTER PAPERS
Multi-Step Genetic Algorithms
Planning the Circular Motion of a Mobile Robot by Using Complex-Valued Neural Network
Judging Emotion from EEGs Using Convolutional Neural Network
Application of Quaternion Neural Network to EMG-Based Estimation of Forearm Motion

LATE PAPERS - ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Rapid Information Discovery System (RAID)
Method for Improved IoT Prognostics and Improved Prognostic Cyber Security for Enterprise Computing Systems
Commercial Vehicle Scheduling with Time Window by a New Kind of Hopfield Neural Network
Semantic Proximity Establishment in the Tasks of Knowledge Extraction and Named Entities Recognition
Mining Commit Log Messages to Identify Risky Code
Research in Posterior ASR Grammar Modification

Hamid R. Arabnia

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.

David de la Fuente

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Elena B. Kozerenko

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Jose A. Olivas

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Fernando G. Tinetti

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