Applied Machine Vision Conference 62

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Applied Computer Vision and Image Processing

Author : Brijesh Iyer
Publisher : Springer Nature
ISBN 13 : 9811540292
Total Pages : 444 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applied Computer Vision and Image Processing by : Brijesh Iyer

Download or read book Applied Computer Vision and Image Processing written by Brijesh Iyer and published by Springer Nature. This book was released on 2020-07-28 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.

Applied Machine Learning and Data Analytics

Author : M. A. Jabbar
Publisher : Springer Nature
ISBN 13 : 3031342224
Total Pages : 252 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Applied Machine Learning and Data Analytics by : M. A. Jabbar

Download or read book Applied Machine Learning and Data Analytics written by M. A. Jabbar and published by Springer Nature. This book was released on 2023-05-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22–23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.

Applied Computer Vision and Soft Computing with Interpretable AI

Author : Swati V. Shinde
Publisher : CRC Press
ISBN 13 : 100095255X
Total Pages : 442 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applied Computer Vision and Soft Computing with Interpretable AI by : Swati V. Shinde

Download or read book Applied Computer Vision and Soft Computing with Interpretable AI written by Swati V. Shinde and published by CRC Press. This book was released on 2023-10-12 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: ∙ Covers a variety of deep learning architectures useful for computer vision tasks. ∙ Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks. ∙ Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem. ∙ Addresses the different issues and further research opportunities in computer vision and soft computing. ∙ Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain. ∙ Considers recent real word problems and the prospective solutions to these problems. This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

Developing and Applying Optoelectronics in Machine Vision

Author : Sergiyenko, Oleg
Publisher : IGI Global
ISBN 13 : 1522506330
Total Pages : 377 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Developing and Applying Optoelectronics in Machine Vision by : Sergiyenko, Oleg

Download or read book Developing and Applying Optoelectronics in Machine Vision written by Sergiyenko, Oleg and published by IGI Global. This book was released on 2016-08-01 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor technologies play a large part in modern life as they are present in security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services. Developing and Applying Optoelectronics in Machine Vision evaluates emergent research and theoretical concepts in scanning devices and 3D reconstruction technologies being used to measure their environment. Examining the development of the utilization of machine vision practices and research, optoelectronic devices, and sensor technologies, this book is ideally suited for academics, researchers, students, engineers, and technology developers.

Visual Analysis of Humans

Author : Thomas B. Moeslund
Publisher : Springer Science & Business Media
ISBN 13 : 0857299972
Total Pages : 633 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Visual Analysis of Humans by : Thomas B. Moeslund

Download or read book Visual Analysis of Humans written by Thomas B. Moeslund and published by Springer Science & Business Media. This book was released on 2011-10-08 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. Features: with a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.

Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

Author : Ilker Ozsahin
Publisher : Bentham Science Publishers
ISBN 13 : 168108872X
Total Pages : 316 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare by : Ilker Ozsahin

Download or read book Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare written by Ilker Ozsahin and published by Bentham Science Publishers. This book was released on 2021-11-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

Computer Vision for Electronics Manufacturing

Author : L.F Pau
Publisher : Springer Science & Business Media
ISBN 13 : 1461305071
Total Pages : 324 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Computer Vision for Electronics Manufacturing by : L.F Pau

Download or read book Computer Vision for Electronics Manufacturing written by L.F Pau and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEFECT PROPORTION OF DETECTION INITIAL RATE DETECTION RATE INSPECTOR 3 COMPLEXITY OF TIMES PAN OF PERFORMING o~ ________________________ o~ ______________________ __ -;. INSPECTION TASK -;. VISUAL INSPECTION Fagure 1. Trends in relations between the complexity of inspection tasks, defect detection rates (absolute and relative), and inspection time. Irrespective of the necessities described above, and with the excep tion of specific generic application systems (e.g., bare-board PCB inspection, wafer inspection, solder joint inspection, linewidth measure ment), vision systems are still not found frequently in today's electronics factories. Besides cost, some major reasons for this absence are: 1. The detection robustness or accuracy is still insufficient. 2. The total inspection time is often too high, although this can frequently be attributed to mechanical handling or sensing. 3. There are persistent gaps among process engineers, CAD en gineers, manufacturing engineers, test specialists, and computer vision specialists, as problems dominate the day-to-day interac tions and prevent the establishment of trust. 4. Computer vision specialists sometimes still believe that their contributions are universal, so that adaptation to each real problem becomes tedious, or stumbles over the insufficient availabIlity of multidisciplinary expertise. Whether we like it or not, we must still use appropriate sensors, lighting, and combina tions of algorithms for each class of applications; likewise, we cannot design mechanical handling, illumination, and sensing in isolation from each other.

Geothermal Energy

Author : Kriti Yadav
Publisher : CRC Press
ISBN 13 : 1000553388
Total Pages : 171 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Geothermal Energy by : Kriti Yadav

Download or read book Geothermal Energy written by Kriti Yadav and published by CRC Press. This book was released on 2022-03-29 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the usage of geothermal energy in countries with low-enthalpy reservoirs. It begins with the fundamentals of geothermal energy and classification of geothermal resources and their importance, including enhanced geothermal systems (EGS). Further, it discusses the creation, production, potential assessment, perspective analysis, life cycle, and environmental assessments of EGS. It describes applications in the field of geothermal energy with relevant case studies and introduces the application of machine learning techniques in the field of geothermal sectors. Features: Focuses on the development of low- to moderate-enthalpy geothermal resources Introduces machine learning tools and artificial intelligence as applied to geothermal energy Provides an understanding of geothermal energy resources and EGS Discusses the possibility of EGS using spallation and laser drilling Includes stimulation methods (thermal, hydraulic, chemical, and explosive) and case studies This book is aimed at researchers and graduate students in geology, clean energy, geothermal energy, and thermal engineering.

Advances in Computer Science and Engineering

Author : Matthias Schmidt
Publisher : BoD – Books on Demand
ISBN 13 : 9533071737
Total Pages : 476 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Advances in Computer Science and Engineering by : Matthias Schmidt

Download or read book Advances in Computer Science and Engineering written by Matthias Schmidt and published by BoD – Books on Demand. This book was released on 2011-03-22 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Advances in Computer Science and Engineering constitutes the revised selection of 23 chapters written by scientists and researchers from all over the world. The chapters cover topics in the scientific fields of Applied Computing Techniques, Innovations in Mechanical Engineering, Electrical Engineering and Applications and Advances in Applied Modeling.

High-Performance Modelling and Simulation for Big Data Applications

Author : Joanna Kołodziej
Publisher : Springer
ISBN 13 : 3030162729
Total Pages : 364 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis High-Performance Modelling and Simulation for Big Data Applications by : Joanna Kołodziej

Download or read book High-Performance Modelling and Simulation for Big Data Applications written by Joanna Kołodziej and published by Springer. This book was released on 2019-03-25 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Author : Anand Rangarajan
Publisher : Springer
ISBN 13 : 3540450637
Total Pages : 540 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Energy Minimization Methods in Computer Vision and Pattern Recognition by : Anand Rangarajan

Download or read book Energy Minimization Methods in Computer Vision and Pattern Recognition written by Anand Rangarajan and published by Springer. This book was released on 2003-10-02 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2003, held in Lisbon, Portugal in July 2003.The 33 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on unsupervised learning and matching, probabilistic modeling, segmentation and grouping, shape modeling, restoration and reconstruction, and graphs and graph-based methods.

Science, Engineering Management and Information Technology

Author : A. Mirzazadeh
Publisher : Springer Nature
ISBN 13 : 3031722876
Total Pages : 335 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Science, Engineering Management and Information Technology by : A. Mirzazadeh

Download or read book Science, Engineering Management and Information Technology written by A. Mirzazadeh and published by Springer Nature. This book was released on with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Knowledge Discovery in Databases

Author : Hendrik Blockeel
Publisher : Springer
ISBN 13 : 3642409911
Total Pages : 732 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Hendrik Blockeel

Download or read book Machine Learning and Knowledge Discovery in Databases written by Hendrik Blockeel and published by Springer. This book was released on 2013-08-28 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

Big Data, IoT, and Machine Learning

Author : Rashmi Agrawal
Publisher : CRC Press
ISBN 13 : 1000098303
Total Pages : 249 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Big Data, IoT, and Machine Learning by : Rashmi Agrawal

Download or read book Big Data, IoT, and Machine Learning written by Rashmi Agrawal and published by CRC Press. This book was released on 2020-07-29 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Applied Mechanics Reviews

Author :
Publisher :
ISBN 13 :
Total Pages : 864 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Applied Mechanics Reviews by :

Download or read book Applied Mechanics Reviews written by and published by . This book was released on 1985 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Algorithms for Signal and Image Processing

Author : Suman Lata Tripathi
Publisher : John Wiley & Sons
ISBN 13 : 1119861829
Total Pages : 516 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Learning Algorithms for Signal and Image Processing by : Suman Lata Tripathi

Download or read book Machine Learning Algorithms for Signal and Image Processing written by Suman Lata Tripathi and published by John Wiley & Sons. This book was released on 2022-12-01 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Applied Machine Learning for Assisted Living

Author : Zia Uddin
Publisher : Springer Nature
ISBN 13 : 3031115341
Total Pages : 139 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Applied Machine Learning for Assisted Living by : Zia Uddin

Download or read book Applied Machine Learning for Assisted Living written by Zia Uddin and published by Springer Nature. This book was released on 2022-08-29 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: User care at home is a matter of great concern since unforeseen circumstances might occur that affect people's well-being. Technologies that assist people in independent living are essential for enhancing care in a cost-effective and reliable manner. Assisted care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the user care system in the literature to identify current practices for future research directions. Therefore, this book is aimed at a comprehensive review of data sources (e.g., sensors) with machine learning for various smart user care systems. To encourage the readers in the field, insights of practical essence of different machine learning algorithms with sensor data (e.g., publicly available datasets) are also discussed. Some code segments are also included to motivate the researchers of the related fields to practically implement the features and machine learning techniques. It is an effort to obtain knowledge of different types of sensor-based user monitoring technologies in-home environments. With the aim of adopting these technologies, research works, and their outcomes are reported. Besides, up to date references are included for the user monitoring technologies with the aim of facilitating independent living. Research that is related to the use of user monitoring technologies in assisted living is very widespread, but it is still consists mostly of limited-scale studies. Hence, user monitoring technology is a very promising field, especially for long-term care. However, monitoring of the users for smart assisted technologies should be taken to the next level with more detailed studies that evaluate and demonstrate their potential to contribute to prolonging the independent living of people. The target of this book is to contribute towards that direction.