"Intelligent software can come to decisions on its own, based on the training on a data set - which makes Artificial Intelligence (AI) a primary area of research these days. AI is the study and design of a system that comprehends its environment and makes decisions that maximize its chances of success. In most cases it is an application intelligence that evolves over time and gets better with fewer errors. In others it can be an intelligence derived out of a set of options or constraints"--
"The book is a modern introduction to the whole field of intelligent systems, also known as artificial intelligence. Artificial intelligence has grown significantly in recent years and many texts and resources have failed to keep up with this important technology. The book takes a modern, 21st century approach to the concepts of artificial intelligence and includes the latest developments, developmental tools, programming, and approaches related to AI"--
Artificial intelligence is defined as the study and design of systems that understand and adapt to changes in their environments. Using case studies, this book highlights recent findings in the field of intelligent computing. Looking at a diverse field of cases from many different disciplines, the authors examine some of the latest examples of artificial intelligence systems and designs. Intended to aid artificial intelligence researchers, the book shows the solutions and breakthroughs other researchers have had in the field. Among the individual examples are disease detection techniques based on image scanning of patient’s eyes, automated surveillance systems with event recognition, robotic movement control, and mathematical modeling of cancer survival rates. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Filling this need, Case Studies in Intelligent Computing: Achievements and Trends provides an up-to-date introduction to intelligent systems.
This edited book captures the state of the art in intelligent computing research through case studies that examine recent developments, developmental tools, programming, and approaches related to artificial intelligence (AI). The case studies illustrate successful machine learning and AI-based applications across various industries, including:
- A non-invasive and instant disease detection technique based upon machine vision through the image scanning of the eyes of subjects with conjunctivitis and jaundice
- Semantic orientation-based approaches for sentiment analysis
- An efficient and autonomous method for distinguishing application protocols through the use of a dynamic protocol classification system
- Nonwavelet and wavelet image denoising methods using fuzzy logic
- Using remote sensing inputs based on swarm intelligence for strategic decision making in modern warfare
- Rainfall–runoff modeling using a wavelet-based artificial neural network (WANN) model
Illustrating the challenges currently facing practitioners, the book presents powerful solutions recently proposed by leading researchers. The examination of the various case studies will help you develop the practical understanding required to participate in the advancement of intelligent computing applications.
The book will help budding researchers understand how and where intelligent computing can be applied. It will also help more established researchers update their skills and fine-tune their approach to intelligent computing.
| Preface |
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ix | |
| Editors |
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xiii | |
| Contributors |
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xv | |
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1 Survey of Intelligent Computing |
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1 | (16) |
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2 Intelligent Machine Vision Technique for Disease Detection through Eye Scanning |
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17 | (14) |
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3 Laser Promotes Proliferation of Stem Cells: A Comprehensive Case Study Consolidated by Intelligent Agent-Based Model Predictions |
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31 | (30) |
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4 Semantic Orientation-Based Approaches for Sentiment Analysis |
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61 | (18) |
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5 Rough Set on Two Universal Sets and Knowledge Representation |
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79 | (30) |
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6 Automating Network Protocol Identification |
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109 | (16) |
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7 Intelligent and Non-Intelligent Approaches in Image Denoising: A Comparative Study |
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125 | (36) |
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8 Fuzzy Relevance Vector Machines with Application to Surface Electromyographic Signal Classification |
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161 | (16) |
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9 Intelligent Remote Operating System Detection |
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177 | (20) |
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10 An Automated Surveillance System for Public Places |
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197 | (30) |
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11 Nature-Inspired Intelligence: A Modern Tool for Warfare Strategic Decision Making |
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227 | (20) |
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12 High-Utility Patterns Discovery in Data Mining: A Case Study |
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247 | (24) |
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13 Bag of Riemannian Words for Virus Classification |
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271 | (14) |
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14 Normalized Ordinal Distance: A Performance Metric for Ordinal, Probabilistic-Ordinal, or Partial-Ordinal Classification Problems |
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285 | (18) |
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15 Predictive Data Mining for Oral Cancer Treatment |
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303 | (26) |
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16 Human Identification Using Individual Dental Radiograph Records |
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329 | (34) |
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17 A Novel Hybrid Bayesian-Based Reasoning: Multinomial Logistic Regression Classification and Regression Tree for Medical Knowledge-Based Systems and Knowledge-Based Systems |
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363 | (16) |
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18 Application of Backpropagation Neural Networks in Calculation of Robot Kinematics |
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379 | (12) |
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19 Conceptual Modeling of Networked Organizations: The Case of Aum Shinrikyo |
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391 | (16) |
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20 Energy-Efficient Wireless Sensor Networks Using Learning Techniques |
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407 | (20) |
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21 Knowledge on Routing Nodes in MANET: A Soft Computing Approach |
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427 | (30) |
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22 Implication of Feature Extraction Methods to Improve Performance of Hybrid Wavelet-ANN Rainfall-Runoff Model |
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457 | (42) |
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23 Artificial Intelligence: A Tool for Better Understanding Complex Problems in Long-Term Care |
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499 | (18) |
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24 Combining Feature Selection and Data Classification Using Ensemble Approaches: Application to Cancer Diagnosis and Credit Scoring |
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517 | (18) |
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25 Intelligent Grade Estimation Technique for Indian Black Tea |
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535 | (12) |
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| Index |
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547 | |
Dr. Biju Issac is a senior lecturer at the School of Computing, Teesside University, United Kingdom, and has more than 15 years of academic experience with higher education in India, Malaysia, and the United Kingdom. He earned a PhD in networking and mobile communications, along with MCA (master of computer applications) and BE (electronics and communications engineering).
He is a senior Institute of Electrical and Electronics Engineers (IEEE) member, a fellow of the Higher Education Academy, an Institution of Engineering and Technology (IET) member, and a chartered engineer (CEng). He is a CISCO-Certified Network Associate (CCNA) instructor, a Sun-Certified Java instructor, and a Lotus Notes professional. His broad research interests are in computer networks, wireless networks, computer or network security, mobility management in 802.11 networks, intelligent computing, data mining, spam detection, secure online voting, e-learning, and so forth. Dr. Issac has authored more than 60 peer-reviewed research publications, including conference papers, book chapters, and journal papers. He has supervised postgraduate research students to completion. He is in the technical program committee of many international conferences and on the editorial board of some journals and has reviewed many research papers.
Dr. Nauman Israr
has been a senior lecturer at the School of Computing, Teesside University, United Kingdom, for many years. He earned his PhD in wireless sensor networks at the University of Bradford, United Kingdom. He teaches computer networksrelated subjects at the university. His areas of research expertise are wireless sensor networks, wireless networked control systems, fly-by-wireless systems, active aircraft, and wireless embedded systems. Dr. Israr was a research fellow at Queens University Belfast (Active Aircraft Project). The aim of that project was to design and develop a wireless nervous system for the next-generation Airbus aircrafts, where the wireless system will be used to reduce the turbulence on the aircraft, thus reducing the fuel burned. He has published a number of conference papers, book chapters, and journal papers.
Lisainfo e-raamatute kohta