Artificial Intelligence And Machine Learning In The Thermal Spray Industry
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Artificial Intelligence And Machine Learning In The Thermal Spray Industry
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Author : Lalit Thakur
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Artificial Intelligence And Machine Learning In The Thermal Spray Industry written by Lalit Thakur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
This book details the emerging area of the induction of expert systems in thermal spray technology, replacing traditional parametric optimization methods like numerical modeling and simulation. It promotes, enlightens, and hastens the digital transformation of the surface engineering industry by discussing the contribution of expert systems like Machine Learning (ML) and Artificial Intelligence (AI) toward achieving durable Thermal Spray (TS) coatings. Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges highlights how AI and ML techniques are used in the TS industry. It sheds light on AI’s versatility, revealing its applicability in solving problems related to conventional simulation and numeric modeling techniques. This book combines automated technologies with expert machines to show several advantages, including decreased error and greater accuracy in judgment, and prediction, enhanced efficiency, reduced time consumption, and lower costs. Specific barriers preventing AI’s successful implementation in the TS industry are also discussed. This book also looks at how training and validating more models with microstructural features of deposited coating will be the center point to grooming this technology in the future. Lastly, this book thoroughly analyzes the digital technologies available for modeling and achieving high-performance coatings, including giving AI-related models like Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) more attention. This reference book is directed toward professors, students, practitioners, and researchers of higher education institutions working in the fields that deal with the application of AI and ML technology.
Advanced Manufacturing Technologies In Biomedical Science
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Author : Jashanpreet Singh
language : en
Publisher: CRC Press
Release Date : 2025-09-10
Advanced Manufacturing Technologies In Biomedical Science written by Jashanpreet Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-10 with Technology & Engineering categories.
As healthcare challenges such as human aging and traffic accidents continue to increase exponentially, the biomedical sector faces a significant obstacle in arranging patient-specific biomedical products. Over the past two decades, additive manufacturing’s printing quality and ease of production have gained global attention, particularly in the development of scaffolds and implants. This book explores additive manufacturing technologies and their categorization, materials, processing factors, output responses, advantages, challenges, and biomedical applications. It provides a critical analysis of past biomedical applications of additive manufacturing technology, explores recent advancements, and examines the design, applications, and characterizations of biomedical components using additive manufacturing techniques. Moreover, it discusses notable applications of additive fabrication in aerospace, education, and medicine, as it showcases the medical applications of rapid prototyping, addressing computational and experimental aspects of 3D-printed biomedical devices. Also, it provides future human implications and developments. Advanced Manufacturing Technologies in Biomedical Science: Practical Applications, Case Studies, and Future Trends offers a unique framework for understanding and evaluating the latest advancements in biomedical additive manufacturing. This book targets individuals interested in conducting research, providing valuable insights, and can serve as an authoritative source of information for manufacturers and academic researchers in the business sector.
Thermal Spray Coatings For High Temperature Conditions
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Author : Gaurav Prashar
language : en
Publisher: CRC Press
Release Date : 2025-06-23
Thermal Spray Coatings For High Temperature Conditions written by Gaurav Prashar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Technology & Engineering categories.
Thermal Spray Coatings for High-Temperature Conditions provides an in-depth analysis of thermal spray coatings covering a wide range of types and applications in aerospace, automotive, and heavy-duty equipment maintenance. It considers the various thermal spray processes available, including high-velocity oxy-fuel spraying, plasma spraying, and flame spraying. Focusing on the importance of surface preparation for thermal spray coatings, this book demonstrates the significance of establishing a strong bond between the substrate and the coating. It explores a range of surface preparation techniques like grit blasting and laser texturing. This book showcases the wide range of uses for thermal spray coatings, such as protecting against corrosion, enhancing wear resistance, preventing erosion, and prolonging the lifespan of industrial equipment. This book is intended for researchers and graduate students studying surface engineering, thermodynamics, high-temperature materials, and wear resistance.
Green Technology And Smart Materials For Engineering Applications
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Author : Jashanpreet Singh
language : en
Publisher: CRC Press
Release Date : 2025-08-08
Green Technology And Smart Materials For Engineering Applications written by Jashanpreet Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Technology & Engineering categories.
Sustainability and technological advancements are rapidly gaining traction on a global scale and are becoming increasingly prominent across a wide range of industries, as evidenced by current market trends. Companies are making significant investments in the research and development of smart materials that can adapt to their surroundings in real time, thereby improving their performance and productivity. The heightened interest in environmentally friendly and intelligent materials can be attributed to the recent surge in research, conferences, and patent applications in this field, highlighting the need for a comprehensive resource that can provide a thorough explanation of these developments. Green Technology and Smart Materials for Engineering Applications provides a thorough examination of smart materials, including their unique properties and applications in sustainable construction. It explores the versatile uses of green materials in different industries, emphasizing sustainable manufacturing practices and resource-efficient materials. The integration of eco-design and innovation is looked at for the creation of sustainable materials, highlighting the importance of green and smart materials in optimizing energy consumption. Additionally, the book offers insights into reuse and recycling techniques that promote circular economy principles and sustainable business models related to green and smart materials. Real-world examples and success stories are used to illustrate the environmental and economic impacts of implementing smart and green materials in various industries. This book is intended to serve as a comprehensive reference guide for academics, researchers, scholars, and professionals working in the fields of manufacturing processing, material science, and environmental engineering. The primary objective of this book is to showcase sustainability by emphasizing the diverse array of green and smart materials utilized in various engineering applications. Through this publication, readers will gain valuable insights into the importance of incorporating environmentally friendly materials into their work, ultimately contributing to a more sustainable future.
Nanomaterials An Approach Towards Environmental Remediation
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Author : Prianka Sharma
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-09-16
Nanomaterials An Approach Towards Environmental Remediation written by Prianka Sharma and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Technology & Engineering categories.
This book explains various methods needed to overcome the challenges faced during environmental remediation with a focus on nanotechnology. The book comprises ten edited chapters that aim to inform and educate readers about recent technologies that are beneficial for pollution control. Starting with an introduction to environmental remediation, the book covers innovative nanomaterials including spinel nanoferrites, carbonaceous quantum dots, carbon nanotubes and nanobioadsorbents. In addition to highlighting the environmental benefits of these materials, the book includes chapters on the potential of nanotechnology for harnessing the environment to generate energy through nanogenerators and piezoelectric energy harvesting devices. Key features of the book include notes on fundamental issues and challenges regarding environmental remediation, easy to read content with pictorial illustrations and scholarly references for each chapter. The book is an informative resource for students and academicians in science, technology and environmental science discipline.
Artificial Intelligence And Machine Learning For Industry 4 0
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Author : M. Thirunavukkarasan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-10
Artificial Intelligence And Machine Learning For Industry 4 0 written by M. Thirunavukkarasan 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 2025-06-10 with Computers categories.
This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. This book emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial Intelligence and Machine Learning for Industry 4.0offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.
Proceedings Of The Seventh International Scientific Conference Intelligent Information Technologies For Industry Iiti 23
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Author : Sergey Kovalev
language : en
Publisher: Springer Nature
Release Date : 2023-09-20
Proceedings Of The Seventh International Scientific Conference Intelligent Information Technologies For Industry Iiti 23 written by Sergey Kovalev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-20 with Technology & Engineering categories.
This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.
Human Centered Ai At Work Common Ground In Theories And Methods
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Author : Annette Kluge
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-26
Human Centered Ai At Work Common Ground In Theories And Methods written by Annette Kluge 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 2024-04-26 with Science categories.
Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?
Advances In Production Management Systems Artificial Intelligence For Sustainable And Resilient Production Systems
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Author : Alexandre Dolgui
language : en
Publisher: Springer Nature
Release Date : 2021-09-01
Advances In Production Management Systems Artificial Intelligence For Sustainable And Resilient Production Systems written by Alexandre Dolgui and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.
The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.
The Impact Of Artificial Intelligence On Health Industry
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Author : Sezer Bozkus Kahyaoglu
language : en
Publisher: CRC Press
Release Date : 2025-08-26
The Impact Of Artificial Intelligence On Health Industry written by Sezer Bozkus Kahyaoglu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-26 with Technology & Engineering categories.
The healthcare sector is highly dependent on technological innovations, much more than most other industries. The positive side is the potential to implement these technological innovations for major improvements and benefits. There has been a significant increase in the use of artificial intelligence techniques in clinical and non-clinical areas in healthcare. The chapters in this book are presented by professionals who are experts in healthcare and have academic experience. The aim of this volume is to add to the literature and to present the current state of clinical and non-clinical applications in the healthcare industry and areas open to development, as well as to provide recommendations to policymakers.