Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, Volume I

  • 15h 4m
  • Information Resources Management Association (IRMA)
  • IGI Global
  • 2017

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.

In this Book

  • Definition of Artificial Neural Network
  • Overview of Computational Intelligence
  • An Introduction to the Basic Concepts in QSAR-Aided Drug Design
  • The Essence of Smart Homes: Application of Intelligent Technologies towards Smarter Urban Future
  • On the Mathematical Theories and Cognitive Foundations of Information
  • Robotic System Design and Development for Medical Treatment, Surgery, and Automated Production Applications
  • Robust Fuzzy Digital PID Controller Design: A Contribution for Advanced Studies in Control and Automation
  • Toward an Agent Framework that Assists the Individuals with Mild Memory Impairment
  • Design and Implementation of BIOLOID Humanoid Robot
  • An Intelligent Process Development Using Fusion of Genetic Algorithm with Fuzzy Logic
  • Enhancing Intrusion Detection Systems Using Intelligent False Alarm Filter: Selecting the Best Machine Learning Algorithm
  • An Empirical Evaluation of a Vocal User Interface for Programming by Voice
  • Towards an Improved Ensemble Learning Model of Artificial Neural Networks: Lessons Learned on Using Randomized Numbers of Hidden Neurons
  • Intrusion Detection Using Deep Belief Network and Extreme Learning Machine
  • A Dynamic Modeling and Validation Framework for the Market Direction Prediction
  • A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms
  • Cognitive Learning Methodologies for Brain-Inspired Cognitive Robotics
  • A Model for Improving Online Collaborative Learning through Machine Learning
  • Personalized Disease Phenotypes from Massive OMICs Data
  • Game AGI beyond Characters
  • The Heterogeneity Paradigm in Big Data Architectures
  • Chinese Text Categorization via Bottom-Up Weighted Word Clustering
  • Shape Control of Robot Swarms with Multilevel-Based Topology Design
  • Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques
  • An Evaluation of C4.5 and Fuzzy C4.5 with Effect of Pruning Methods
  • A Measure Optimized Cost-Sensitive Learning Framework for Imbalanced Data Classification
  • Methodology for Record Linkage: A Medical Domain Case Study
  • Imbalanced Classification for Business Analytics
  • Distributed Algorithms for Recruitment and Coordinated Motion in Swarm Robotic Systems
  • On a Novel Cognitive Knowledge Base (CKB) for Cognitive Robots and Machine Learning
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