Computer Aided Intelligent Recognition Techniques And Applications


Computer Aided Intelligent Recognition Techniques And Applications
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Computer Aided Intelligent Recognition Techniques And Applications


Computer Aided Intelligent Recognition Techniques And Applications
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Author : Dr. Muhammad Sarfraz
language : en
Publisher: John Wiley & Sons
Release Date : 2005-11-01

Computer Aided Intelligent Recognition Techniques And Applications written by Dr. Muhammad Sarfraz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-01 with Technology & Engineering categories.


Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.



Knowledge Based Intelligent Techniques In Character Recognition


Knowledge Based Intelligent Techniques In Character Recognition
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Author : Lakhmi C. Jain
language : en
Publisher: CRC Press
Release Date : 2020-12-18

Knowledge Based Intelligent Techniques In Character Recognition written by Lakhmi C. Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Computers categories.


Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field. This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks. Features



Computer Aided And Integrated Manufacturing Systems


Computer Aided And Integrated Manufacturing Systems
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Author : Cornelius T. Leondes
language : en
Publisher: World Scientific
Release Date : 2003

Computer Aided And Integrated Manufacturing Systems written by Cornelius T. Leondes and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Technology & Engineering categories.


This is an invaluable five-volume reference on the very broad and highly significant subject of computer aided and integrated manufacturing systems. It is a set of distinctly titled and well-harmonized volumes by leading experts on the international scene. The techniques and technologies used in computer aided and integrated manufacturing systems have produced, and will no doubt continue to produce, major annual improvements in productivity, which is defined as the goods and services produced from each hour of work. This publication deals particularly with more effective utilization of labor and capital, especially information technology systems. Together the five volumes treat comprehensively the major techniques and technologies that are involved. Contents: .: Neural Networks Techniques for the Optical Inspection of Machined Parts (N Guglielmi et al.); Computer Techniques and Applications of Automated Process Planning in Manufacturing Systems (K A Aldakhilallah & R Ramesh); Internet-Based Manufacturing Systems: Techniques and Applications (H Lau); and other articles. Readership: Graduate students, academics, researchers, and industrialists in computer engineering, industrial engineering, mechanical engineering, systems engineering, artificial intelligence and operations management



Cross Disciplinary Applications Of Artificial Intelligence And Pattern Recognition Advancing Technologies


Cross Disciplinary Applications Of Artificial Intelligence And Pattern Recognition Advancing Technologies
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Author : Mago, Vijay Kumar
language : en
Publisher: IGI Global
Release Date : 2011-12-31

Cross Disciplinary Applications Of Artificial Intelligence And Pattern Recognition Advancing Technologies written by Mago, Vijay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-31 with Computers categories.


The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.



Frontiersinpatternrecognitionandartificialintelligence


Frontiersinpatternrecognitionandartificialintelligence
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Author : Blom Marleah
language : en
Publisher: World Scientific
Release Date : 2019-06-17

Frontiersinpatternrecognitionandartificialintelligence written by Blom Marleah and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-17 with Computers categories.


The fifth volume in this book series consists of a collection of new papers written by a diverse group of international scholars. Papers and presentations were carefully selected from 160 papers submitted to the International Conference on Pattern Recognition and Artificial Intelligence held in Montreal, Quebec (May 2018) and an associated free public lecture entitled 'Artificial Intelligence and Pattern Recognition: Trendy Technologies in Our Modern Digital World'. Chapters address topics such as the evolution of AI, natural language processing, off and on-line handwriting analysis, tracking and detection systems, neural networks, rating video games, computer-aided diagnosis, and digital learning.Within an increasingly digital world, 'artificial intelligence' is becoming a household term and a topic of great interest to many people worldwide. Pattern recognition, in using key features to classify data, has a strong relationship with artificial intelligence. This book not only complements other monographs in the series, it also provides the latest information. It is geared to promote interest and understanding about pattern recognition and artificial intelligence to the general public. It may also be of interest to graduate students and researchers in the field. Rather than focusing on one specific area, the book introduces readers to various basic concepts and to various potential areas where pattern recognition and artificial intelligence can be applied to make valuable contributions to other fields such as medicine, teaching and learning, forensic science, surveillance, online reviews, computer vision and object tracking.



Deep Learning In Healthcare


Deep Learning In Healthcare
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Author : Yen-Wei Chen
language : en
Publisher: Springer Nature
Release Date : 2019-11-18

Deep Learning In Healthcare written by Yen-Wei Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Technology & Engineering categories.


This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.



Advances In Asset Management And Condition Monitoring


Advances In Asset Management And Condition Monitoring
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Author : Andrew Ball
language : en
Publisher: Springer Nature
Release Date : 2020-08-27

Advances In Asset Management And Condition Monitoring written by Andrew Ball and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Technology & Engineering categories.


This book gathers select contributions from the 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), held at the University of Huddersfield, UK in September 2019, and jointly organized by the University of Huddersfield and COMADEM International. The aim of the Congress was to promote awareness of the rapidly emerging interdisciplinary areas of condition monitoring and diagnostic engineering management. The contents discuss the latest tools and techniques in the multidisciplinary field of performance monitoring, root cause failure modes analysis, failure diagnosis, prognosis, and proactive management of industrial systems. There is a special focus on digitally enabled asset management and covers several topics such as condition monitoring, maintenance, structural health monitoring, non-destructive testing and other allied areas. Bringing together expert contributions from academia and industry, this book will be a valuable resource for those interested in latest condition monitoring and asset management techniques.



New Foundation Of Artificial Intelligence


New Foundation Of Artificial Intelligence
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Author : Ming Xie
language : en
Publisher: World Scientific
Release Date : 2020-12-22

New Foundation Of Artificial Intelligence written by Ming Xie and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Technology & Engineering categories.


This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order.Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future.Related Link(s)



Intelligent Decision Support Systems


Intelligent Decision Support Systems
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Author : Surekha Borra
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-21

Intelligent Decision Support Systems written by Surekha Borra and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-21 with Computers categories.


Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).



Intelligent Fractal Based Image Analysis


Intelligent Fractal Based Image Analysis
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Author : Soumya Ranjan Nayak
language : en
Publisher: Elsevier
Release Date : 2024-06-14

Intelligent Fractal Based Image Analysis written by Soumya Ranjan Nayak and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Computers categories.


Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems Explores the application of fractal theories to a wide range of medical image processing modalities Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems