Table of contents : Title Page Preface Organization Contents Evaluation of Morphological Features for Breast Cells Classification Using Neural Networks Introduction Morphological Features Methodology Training and Testing Data Optimum Neural Network Investigation Results and Discussion Conclusion References A BP-Neural Network Improvement to Hop-Counting for Localization in Wireless Sensor Networks Introduction Related Work Problems Hop-Counting Technique Extending the Hop-Counting Technique Neural Networks NN-Based Hop Coordinates Definition of Hop Coordinates Constructing the Neural Network Simulation Simulation Process Simulation Results Costs Summary and Conclusions References {\sc SUDOKUSAT}—A Tool for Analyzing Difficult Sudoku Puzzles Sudoku AI Escargot Sudoku in AI SAT-Based Sudoku Solving GridAnalysis {\sc SUDOKUSAT} Results Conclusions References Understanding and Forecasting Air Pollution with the Aid of Artificial Intelligence Methods in Athens, Greece Introduction Background General Intro to Air Quality Analysis and Forecasting The Greater Athens Area and Its AQ and Monitoring Stations Data Presentation Methodologies Applied Covariance Calculation Principal Component Analysis Periodogram and Fourier Transform Artificial Neural Networks Results Summary and Conclusions References Multiple Target Tracking for Mobile Robots Using the JPDAF Algorithm Introduction The JPDAF Algorithm for Multiple Target Tracking The Particle Filter for Online State Estimation Data Association The JPDAF Algorithm The JPDAF Algorithm for Multiple Robot Tracking Simulation Results Local Tracking for Non-maneuvering Movement Local Tracking for Maneuvering Movement Conclusion References An Artificial Market for Emission Permits Introduction Types of Auctions A New Auction Type An Artificial Market Experimental Results Conclusion References Application of Neural Networks for Investigating Day-of-the-Week Effect in Stock Market Introduction Data and Methodology Application of Neural Networks Methods Summary and Conclusions References WSRPS: A Weaning Success Rate Prediction System Based on Artificial Neural Network Algorithms Introduction Feature Selection Methods Data Sources Artificial Neural Network System Implementation System Architecture and Flowchart The BPD System Interface (Figure 4) The WSRPS System Interface (Figure 7) Results and Discussion Outputs from the System Performance Comparison from Three ANN Algorithms Conclusions References Dealing with Large Datasets Using an Artificial Intelligence Clustering Tool Introduction Presentation of the Clustering Tool’s Algorithms The Algorithm of Meyerson The Fast Facility Location Algorithm The k-Means Algorithm The LocalSearch Algorithm The Clustering Tool Selection of the Algorithms Input and Output File Options Other Tool Options Application on Synthetic Datasets An Example of Using the Clustering Tool on a Synthetic Dataset Conclusions and Future Work References An Application of Fuzzy Measure and Integral for Diagnosing Faults in Rotating Machines Introduction Faults in a Rotating Machine and Vibration Spectra Faults in a Rotating Machine Vibration Spectra Positions and Directions for Spectra Vibration Syndrome Matrix Fuzzy Measure and Integral Fuzzy Set of Spectra and Their Membership Functions Fuzzy Measure for Spectra Fuzzy Integral and the Possibility of Faults Example of Diagnosis and Evaluation of the Method Example of Diagnosis Evaluation of the Method Conclusion References A Multi-agent Architecture for Sensors and Actuators’ Fault Detection and Isolation in Case of Uncertain Parameter Systems Introduction Agents Description Data Acquisition Agent Detection Agents Isolation Agents User Interface Agent Agents Structure Communication Simulation Example Multi-agent System Implementation Tests and Results Conclusions and Future Work References A User-Friendly Evolutionary Tool for High-School Timetabling Introduction School Timetabling Problem Definition Review of the Hosted Algorithm The Timetabling Tool An Example of Using the Timetabling Tool Conclusions References HEPAR: An Intelligent System for Hepatitis Prognosis and Liver Transplantation Decision Support Introduction Problem Description Liver Transplantation Knowledge Modeling Database Description Database Descriptive Statistics System Architecture and Design Data Entry Fuzzy Rules Fuzzy Templates for Variable Modelling Fuzzy Rule Description Intermediate Rules Prognosis Rules Implementation Issues FuzzyCLIPS 6.10d Template Definition Experimental Results Related Work Conclusions and Future Work References Improving Web Content Delivery in eGoverment Applications Introduction Motivation Process and System Architecture Technology Background Case Study Implementation Conclusions and Future Work Appendix References Improving Text-Dependent Speaker Recognition Performance Introduction Speaker Verification Process The Speaker Recognition System The Speech Recognition Engine The Speaker Verification Engine Experimental Results Experiment Setup Recognition Performances Conclusion References Author Index