Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

✍ Scribed by Information Resources Management Association

• Publisher: IGI Global
• Year: 2017
• Tongue: English
• Leaves: 3096
• Category: Library

✦ Synopsis

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

✦ Table of Contents

Title Page
Copyright Page
List of Contributors
Table of Contents
Preface
Section 1: Fundamental Concepts and Theories
Chapter 1: Definition of Artificial Neural Network
Chapter 2: Overview of Computational Intelligence
Chapter 3: An Introduction to the Basic Concepts in QSAR-Aided Drug Design
Chapter 4: The Essence of Smart Homes
Chapter 5: On the Mathematical Theories and Cognitive Foundations of Information
Section 2: Development and Design Methodologies
Chapter 6: Robotic System Design and Development for Medical Treatment, Surgery, and Automated Production Applications
Chapter 7: Robust Fuzzy Digital PID Controller Design
Chapter 8: Toward an Agent Framework that Assists the Individuals with Mild Memory Impairment
Chapter 9: Design and Implementation of BIOLOID Humanoid Robot
Chapter 10: An Intelligent Process Development Using Fusion of Genetic Algorithm with Fuzzy Logic
Chapter 11: Enhancing Intrusion Detection Systems Using Intelligent False Alarm Filter
Chapter 12: An Empirical Evaluation of a Vocal User Interface for Programming by Voice
Chapter 13: Towards an Improved Ensemble Learning Model of Artificial Neural Networks
Chapter 14: Intrusion Detection Using Deep Belief Network and Extreme Learning Machine
Chapter 15: A Dynamic Modeling and Validation Framework for the Market Direction Prediction
Chapter 16: A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms
Chapter 17: Cognitive Learning Methodologies for Brain-Inspired Cognitive Robotics
Chapter 18: A Model for Improving Online Collaborative Learning through Machine Learning
Chapter 19: Personalized Disease Phenotypes from Massive OMICs Data
Chapter 20: Game AGI beyond Characters
Chapter 21: The Heterogeneity Paradigm in Big Data Architectures
Chapter 22: Chinese Text Categorization via Bottom-Up Weighted Word Clustering
Chapter 23: Shape Control of Robot Swarms with Multilevel-Based Topology Design
Chapter 24: Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques
Chapter 25: An Evaluation of C4.5 and Fuzzy C4.5 with Effect of Pruning Methods
Chapter 26: A Measure Optimized Cost-Sensitive Learning Framework for Imbalanced Data Classification
Chapter 27: Methodology for Record Linkage
Chapter 28: Imbalanced Classification for Business Analytics
Chapter 29: Distributed Algorithms for Recruitment and Coordinated Motion in Swarm Robotic Systems
Chapter 30: On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning
Chapter 31: The Backbone of Key Successful Branding Strategies in the 21st Century
Chapter 32: Mechatronic Design of Mobile Robots for Stable Obstacle Crossing at Low and High Speeds
Chapter 33: Integrating Systems Modelling and Data Science
Chapter 34: Design of a Chaotic Random Bit Generator Using a Duffing - van der Pol System
Chapter 35: Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks
Section 3: Tools and Technologies
Chapter 36: On Cognitive Foundations and Mathematical Theories of Knowledge Science
Chapter 37: Creep Rupture Forecasting
Chapter 38: Feature Selection for GUMI Kernel-Based SVM in Speech Emotion Recognition
Chapter 39: Predictive Network Defense
Chapter 40: Advances in Algorithms for Re-Sampling Class-Imbalanced Educational Data Sets
Chapter 41: Enhancing Active Learning Pedagogy through Online Collaborative Learning
Chapter 42: ANN Based Expert System to Predict Disease in Cardiac Patients at Initial Stages
Chapter 43: Simulation of Temperature and Precipitation under the Climate Change Scenarios
Chapter 44: Opportunistic Model for Multi-Robot Coordination
Chapter 45: Risk Prediction Model for Osteoporosis Disease Based on a Reduced Set of Factors
Chapter 46: Application of Meta-Models (MPMR and ELM) for Determining OMC, MDD and Soaked CBR Value of Soil
Chapter 47: Authorship Analysis
Chapter 48: The MobiFall Dataset
Chapter 49: A Novel Application Offloading Algorithm and an Optimized Application Servers Placement for Mobile Cloud Computing
Chapter 50: Value Based Decision Control for Complex Systems
Chapter 51: A Review of Interventions with Assistive Technologies for Patients with Cognitive Impairment
Chapter 52: Plant Classification for Field Robots
Chapter 53: Natural Language Processing
Chapter 54: Stochastic Programming and Value Based Decisions
Chapter 55: Cultivating Chan with Calibration
Chapter 56: Semantic Interation, Text Mining, Tools and Technologies
Chapter 57: Stabilization and Control of Mechanical Systems with Backlash
Chapter 58: Face Recognition Methods for Uncontrolled Settings
Section 4: Utilization and Application
Chapter 59: Machine Learning Techniques to Predict Software Defect
Chapter 60: Novel Nature-Derived Intelligent Algorithms and Their Applications in Antenna Optimization
Chapter 61: An Overview of Swarm Robotics for Search and Rescue Applications
Chapter 62: The Application of Meta-Heuristic Algorithms to Improve the Performance of Software Development Effort Estimation Models
Chapter 63: Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition
Chapter 64: A Review of Existing Applications and Techniques for Narrative Text Analysis in Electronic Medical Records
Chapter 65: Computational Intelligence in Cryptology
Chapter 66: Machine Learning Approaches to Automated Medical Decision Support Systems
Chapter 67: Opportunistic Neighbour Prediction Using an Artificial Neural Network
Chapter 68: Determination of Bearing Capacity of Shallow Foundation Using Soft Computing
Chapter 69: The Annotation of Global Positioning System (GPS) Data with Activity Purposes Using Multiple Machine Learning Algorithms
Chapter 70: Machine Learning Approaches for Sentiment Analysis
Chapter 71: Investigation of ANFIS and FFBNN Recognition Methods Performance in Tamil Speech Word Recognition
Chapter 72: Exploring Video Sharing Websites Content with Machine Learning
Chapter 73: Review of fMRI Data Analysis
Chapter 74: On Parallel Online Learning for Adaptive Embedded Systems
Chapter 75: Information Extraction in the Medical Domain
Chapter 76: Sentiment Classification
Chapter 77: Semantics-Based Document Categorization Employing Semi-Supervised Learning
Chapter 78: Natural Language Processing as Feature Extraction Method for Building Better Predictive Models
Chapter 79: HTML Segmentation for Different Types of Web Pages
Chapter 80: Determination of Work Zone Capacity Using ELM, MPMR and GPR
Chapter 81: Revealing Groups of Semantically Close Textual Documents by Clustering
Chapter 82: Comparison of Tied-Mixture and State-Clustered HMMs with Respect to Recognition Performance and Training Method
Chapter 83: Prediction of Change-Prone Classes Using Machine Learning and Statistical Techniques
Chapter 84: Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning
Chapter 85: Feature Selection Algorithms for Classification and Clustering in Bioinformatics
Chapter 86: Performance Degradation Detection of Virtual Machines Via Passive Measurement and Machine Learning
Chapter 87: Fuzzification of Euclidean Space Approach in Machine Learning Techniques
Chapter 88: Learning with Privileged Information for Improved Target Classification
Chapter 89: Forecasting Demand with Support Vector Regression Technique Combined with X13-ARIMA-SEATS Method in the Presence of Calendar Effect
Chapter 90: Classification of the Emotional State of a Subject Using Machine Learning Algorithms for RehabRoby
Chapter 91: Robotic Transformation and its Business Applications in Food Industry
Chapter 92: Security in Swarm Robotics
Chapter 93: A Cognitive Machine-Learning System to Discover Syndromes in Erythemato-Squamous Diseases
Chapter 94: Magnetic Field Model (MFM) in Soft Computing and Parallelization Techniques for Self Organizing Networks (SON) in Telecommunications
Chapter 95: Performance Analysis of DE over K-Means Proposed Model of Soft Computing
Chapter 96: Underwater Swarm Robotics
Chapter 97: Stabilization of Mechanical Systems with Backlash by PI Loop Shaping
Chapter 98: Hybrid Approach for Analyzing Acute Spots of Clinical Speech Data Using Fuzzy Inference System
Chapter 99: Towards a Stepwise Variability Management Process for Complex Systems
Chapter 100: Flexible and Hybrid Action Selection Process for the Control of Highly Dynamic Multi-Robot Systems
Chapter 101: Mobile Target Tracking of Swarm Robotics in Unknown Obstructive Environment
Chapter 102: Integration of Different Analytical Concepts on Multimedia Contents in Service of Intelligent Knowledge Extraction
Chapter 103: Machine Learning for Detecting Scallops in AUV Benthic Images
Chapter 104: Creating Sound Glyph Database for Video Subtitling
Chapter 105: An Evolutionary Approach for Balancing Effectiveness and Representation Level in Gene Selection
Chapter 106: Cyber Physical Control Systems
Section 5: Organizational and Social Implications
Chapter 107: Improving Productivity
Chapter 108: Conflict Resolution in Robotics
Chapter 109: Robotic Exoskeletons and Social, Companion, and Service Robots
Chapter 110: Supporting Active and Healthy Aging with Advanced Robotics Integrated in Smart Environment
Chapter 111: Recognizing Physical Activities using Wearable Devices
Chapter 112: Intelligent Slotting for the Warehouse
Chapter 113: Model-Driven Data Warehouse Automation
Chapter 114: Predictive Analytics for Business Processes in Service Management
Chapter 115: Robotic Teaching Assistance for the “Tower of Hanoi” Problem
Chapter 116: Approaches to Large-Scale User Opinion Summarization for the Web
Chapter 117: Fuzzy Causal Patterns of Humor and Jokes for Cognitive and Affective Computing
Chapter 118: Detecting Linguistic Markers of Violent Extremism in Online Environments
Chapter 119: Using High-Frequency Interaction Events to Automatically Classify Cognitive Load
Chapter 120: Leveraging Human Capital Assets with Cognitive Computing
Chapter 121: Prediction of Temperature in Buildings Using Machine Learning Techniques
Chapter 122: Cooperative Robots
Section 6: Managerial Impacts
Chapter 123: Using Machine Learning and Probabilistic Frameworks to Enhance Incident and Problem Management
Chapter 124: Customer Lifetime Value Measurement using Machine Learning Techniques
Chapter 125: Intelligent Systems to Support Human Decision Making
Chapter 126: Essentiality of Machine Learning Algorithms for Big Data Computation
Index