Muduli kamalakanta (82 Ergebnisse)

Zustand: New. In English.

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Paperback. Zustand: Brand New. 128 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Zustand: Brand New. 210 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 210 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 216 pages. 6.14x0.49x9.21 inches. In Stock.

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Paperback. Zustand: Brand New. 333 pages. 11.00x8.25x11.00 inches. In Stock.

Zustand: New. Joseph Bamidele Awotunde is a Lecturer II at the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, 30 chapters in books, and more than 25 conference proceedings.Kamalakant.

Taschenbuch. Zustand: Neu. Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials | Deepak Sinwar (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032191102 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

hardcover. Zustand: Very Good.

Taschenbuch. Zustand: Neu. Smart Technologies for Improved Performance of Manufacturing Systems and Services | Bikash Chandra Behera (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032387598 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …

Zustand: New. Dr. Bikash Ranjan Moharana is presently working as a Senior Lecturer in the Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Morobe Province, Papua New Guinea. He received his Ph.D. degree from the Department o.

Zustand: New. Joseph Bamidele Awotunde is a Lecturer with the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He has to his credit over 200 publications in reputable outlets such as Elsevier, Springer, Hindawi, and Taylor &amp Fra.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.…

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

hardcover. Zustand: Fine.

Taschenbuch. Zustand: Neu. Neuware - This book presents cutting-edge findings that draw on the use of AI, the Industrial Internet of Things, Blockchain, and Co-Analytics for the development of Circular Economy (CE) models to make organizational activities more sustainable. A further goal is the development of Digital Technology (DT)-enabled support tools that can be used to further analyze the impact of DT and CE-enabled operational practices used to achieve resource and environmental sustainability.Digital Technology Enabled Circular Economy: Models for Environmental and Resource Sustainability discusses the integration of digital technology-enabledcircular economy models into the manufacturing industries and its advantages for sustainability. It emphasizes the fundamentals and applications and their enactment, as well as integration for the overall organizational development. The book explains the role of digital technologies in food supply chains and multi-life cycle materials for sustainable development and highlights the development of the workforce to facilitate the implementation of smart and advanced technologies. This book presents the development of DT-enabled support tools used to analyze the impact of DT and CE-enabled operational practices on an organization and efforts to achieve resource and environmental sustainability. Case studies that demonstrate how smart digital technology can help firms improve their long-term performance by embracing circular operation methods are also included.Students, academicians, and researchers, as well as managers and stakeholders who are interested in smart, sustainable production, and consumption, together with managers and stakeholders who are interested in ways of implementing them in their organizations, will find this book of interest. It will demonstrate, via the use of real-world case studies, how smart digital technology can help firms improve their long-term performance by embracing circular operating methods.…

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.…

Taschenbuch. Zustand: Neu. Neuware - ICISAS 2025 is the leading research conference of Curtin University Dubai, bringing together experts who are shaping the future through innovation, sustainability, and applied sciences. The event provides a strong platform for sharing new knowledge that supports technological progress and sustainable development.The main purpose of the conference is to encourage collaboration across engineering, technology, management, and scientific fields. It connects researchers, industry leaders, policymakers, and students who are committed to creating solutions that address global challenges through responsible and forward-looking innovation.ICISAS 2025 aims to highlight research that can improve material performance, energy systems, sustainable design, and advanced manufacturing. This aligns closely with the book theme, which focuses on innovative engineering approaches that enhance durability, efficiency, and environmental responsibility.A major focus of the conference is on advanced materials, renewable energy technologies, and intelligent systems. Participants explore areas such as nanocomposites, eco-friendly concretes, solar and wind optimization, AI-driven monitoring, IoT-enabled engineering processes, robotics applications, and improved safety systems. The conference also features research on wastewater treatment, structural optimization, machining processes, geotechnical solutions, and sustainable industrial practices. These topics demonstrate how engineering innovations can reduce environmental impact and support sustainable infrastructure and industry.Over two days, the conference offers keynote talks, plenary sessions, poster and oral presentations, symposiums, networking activities, and exhibitor showcases. This diverse programme helps participants engage deeply with new technologies, practical solutions, and collaborative opportunities.ICISAS 2025 stands out for its strong participation from government leaders, eminent scientists, technologists, industry experts, and academics. By bringing together such a wide group, the conference creates a unique environment where cutting-edge engineering research meets real-world application and policy impact.…

Zustand: New. Dr. Kamalakanta Muduli, is presently working as Associate Professor in Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Morobe Province, Papua New Guinea. He has obtained PhD from School of Mechanical.