Deep Learning For Crack Like Object Detection
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Deep Learning For Crack Like Object Detection
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Author : Kaige Zhang
language : en
Publisher: CRC Press
Release Date : 2023-03-20
Deep Learning For Crack Like Object Detection written by Kaige Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-20 with Computers categories.
Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems. This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.
Deep Learning For Crack Like Object Detection
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Author : Kaige Zhang
language : en
Publisher: CRC Press
Release Date : 2023-03-20
Deep Learning For Crack Like Object Detection written by Kaige Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-20 with Computers categories.
Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems. This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.
New Industry 4 0 Advances In Industrial Iot And Visual Computing For Manufacturing Processes
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Author : Luis Norberto López de Lacalle
language : en
Publisher: MDPI
Release Date : 2020-03-18
New Industry 4 0 Advances In Industrial Iot And Visual Computing For Manufacturing Processes written by Luis Norberto López de Lacalle and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-18 with Technology & Engineering categories.
Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.
Tunnelling Into A Sustainable Future Methods And Technologies
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Author : Fredrik Johansson
language : en
Publisher: CRC Press
Release Date : 2025-05-12
Tunnelling Into A Sustainable Future Methods And Technologies written by Fredrik Johansson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Technology & Engineering categories.
Tunnelling into a Sustainable Future – Methods and Technologies contains the contributions presented at the ITA-AITES World Tunnel Congress 2025 (Stockholm, Sweden, 9-15 May 2025). The contributions cover a wide range of topics in the fields of tunnelling and underground engineering, including: 1. Innovating tunneling 2. Safety Underground 3. Use of underground space 4. Investigations and ground characterisation 5. Planning and design of underground space 6. Conventional tunnelling 7. Mechanised tunnelling 8. Complex geometries including shafts and ramps 9. Grouting and groundwater control 10. Instrumentation and monitoring 11. Operation, inspection and maintenance 12. Contractual aspects, financing and risk management 13. Impact from climate change Tunnelling into a Sustainable Future – Methods and Technologies will serve as a valuable reference to all concerned with tunnelling and underground engineering, including students, researchers and engineers.
Intelligent Computing And Optimization
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Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2023-12-19
Intelligent Computing And Optimization written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.
This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment.
Blockchain Of Things And Deep Learning Applications In Construction
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Author : Faris Elghaish
language : en
Publisher: Springer Nature
Release Date : 2022-07-09
Blockchain Of Things And Deep Learning Applications In Construction written by Faris Elghaish and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-09 with Technology & Engineering categories.
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches. The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced to exploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book’s chapters. This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction.
Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities
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Author : Ketan Kotecha
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26
Artificial Intelligence In Environmental Engineering And Ecology Towards Smart And Sustainable Cities written by Ketan Kotecha and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Science categories.
The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of food, housing, water, and infrastructure. The solutions to sustainability crises require unraveling complex interactions that do not fit neatly into a single discipline. Keeping in view the sustainable development goals which are considered a blueprint for a better and more sustainable future, interdisciplinary research in civil and environmental engineering is of utmost important. The interdisciplinary research tackles the demands of the growing population of urban agglomerates. Designing interdisciplinary solutions for achieving sustainable development goals including Sustainable Cities and Communities; Affordable and Clean Energy; Clean Water and Sanitation; Responsible Consumption and Production; Industry, Innovation, and Infrastructure; Climate Action is the need of the hour. The interdisciplinary research in environmental sustainability can convert real-world complexities such as space dynamics and pressure on cities, sustainable infrastructure, smart transport, smart buildings, climate changes, air pollutant dispersion and pollution, contaminant transport through air water, and soil, ocean dynamics, life below water, and effect of contamination on flora and fauna and more, into predictable models using Artificial Intelligence (AI). The primary objective of this research topic is to consolidate research and application of Artificial Intelligence in environmental engineering, aiming toward smart and sustainable cities. Highlighting AI-based solutions and models across environmental engineering and sustainability, in particular for smart and sustainable cities, is the prime objective of the proposed research topic. The issue will welcome multidisciplinary/ interdisciplinary approaches to provide solutions to current pressing problems of cities from an engineering perspective.
Fundamentals And Methods Of Machine And Deep Learning
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Author : Pradeep Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02
Fundamentals And Methods Of Machine And Deep Learning written by Pradeep Singh 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 2022-03-02 with Computers categories.
FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.
Data Science In Engineering Volume 9
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Author : Ramin Madarshahian
language : en
Publisher: Springer Nature
Release Date : 2021-10-04
Data Science In Engineering Volume 9 written by Ramin Madarshahian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-04 with Technology & Engineering categories.
Data Science and Engineering Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the ninth volume of nine from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Data Science in Engineering Applications Engineering Mathematics Computational Methods in Engineering
Proceedings Of Data Analytics And Management
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Author : Abhishek Swaroop
language : en
Publisher: Springer Nature
Release Date : 2023-12-28
Proceedings Of Data Analytics And Management written by Abhishek Swaroop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-28 with Computers categories.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.