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Metaheuristic Algorithms in Industry 4.0

Shah, Pritesh Sekhar, Ravi Kulkarni, Anand J. Se alle
Heftet / 2024 / Engelsk

Produktdetaljer

ISBN
9780367698409
Publisert
2024-10-07
Utgiver
Vendor
CRC Press
Vekt
553 gr
Høyde
246 mm
Bredde
174 mm
Aldersnivå
P, UP, 06, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
286

Redaktør
Shah, Pritesh
Sekhar, Ravi
Kulkarni, Anand J.
Siarry Patrick

Biographical note

Pritesh Shah is an Associate Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.

Ravi Sekhar is an Assistant Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.

Anand J. Kulkarni is an Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University), India.

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Creteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systemes Intelligents (LiSSi).

Metaheuristic Algorithms in Industry 4.0

Shah, Pritesh Sekhar, Ravi Kulkarni, Anand J. Se alle
Heftet / 2024 / Engelsk
Shah, Pritesh Sekhar, Ravi Kulkarni, Anand J. Se alle
Heftet / 2024 / Engelsk
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Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.Key features:Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.surveys current trends and challenges in metaheuristics and industry 4.0.Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Les mer
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Les mer
ContentsPrefaceEditorsContributors1. A Review on Cyber Physical Systems and Smart Computing: Bibliometric AnalysisDeepak Sharma, Prashant K. Gupta, and Javier Andreu-Perez2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya AlgorithmAshish Khachane and Vijaykumar S. Jatti3. A Metaheuristic Scheme for Secure Control of Cyber-Physical SystemsTua A. Tamba4. Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life ProblemsOmkar Kulkarni, G. M. Kakandikar, and V. M. Nandedkar5. Optimization of Robot Path Planning Using Advanced Optimization TechniquesR. V. Rao and S. Patel6. Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi AlloyMahendra Uttam Gaikwad, A. Krishnamoorthy, and Vijaykumar S. Jatti7. Analysis of Convolution Neural Network Architectures andTheir Applications in Industry 4.0Gaurav Bansod, Shardul Khandekar, and Soumya Khurana8. EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)Niranjan Chavan, Priya Ranjan, Uday Kumar, Kumar Dron Shrivastav, and Rajiv Janardhanan9. Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge MachiningVaibhav S. Gaikwad, Vijaykumar S. Jatti, Satish S. Chinchanikar, and Keshav N. Nandurkar10. A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case StudyK. Vanchinathan, P. Sathiskumar, and N. Selvaganesan11. Predictive Analysis of Cellular Networks: A SurveyNilakshee Rajule, Radhika Menon, and Anju Kulkarni12. Optimization Techniques and Algorithms for Dental Implants – A Comprehensive ReviewNiharika Karnik and Pankaj DhatrakIndex
Les mer

Relaterte produkter

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.Key features:Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.surveys current trends and challenges in metaheuristics and industry 4.0.Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Les mer
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Les mer
ContentsPrefaceEditorsContributors1. A Review on Cyber Physical Systems and Smart Computing: Bibliometric AnalysisDeepak Sharma, Prashant K. Gupta, and Javier Andreu-Perez2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya AlgorithmAshish Khachane and Vijaykumar S. Jatti3. A Metaheuristic Scheme for Secure Control of Cyber-Physical SystemsTua A. Tamba4. Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life ProblemsOmkar Kulkarni, G. M. Kakandikar, and V. M. Nandedkar5. Optimization of Robot Path Planning Using Advanced Optimization TechniquesR. V. Rao and S. Patel6. Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi AlloyMahendra Uttam Gaikwad, A. Krishnamoorthy, and Vijaykumar S. Jatti7. Analysis of Convolution Neural Network Architectures andTheir Applications in Industry 4.0Gaurav Bansod, Shardul Khandekar, and Soumya Khurana8. EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)Niranjan Chavan, Priya Ranjan, Uday Kumar, Kumar Dron Shrivastav, and Rajiv Janardhanan9. Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge MachiningVaibhav S. Gaikwad, Vijaykumar S. Jatti, Satish S. Chinchanikar, and Keshav N. Nandurkar10. A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case StudyK. Vanchinathan, P. Sathiskumar, and N. Selvaganesan11. Predictive Analysis of Cellular Networks: A SurveyNilakshee Rajule, Radhika Menon, and Anju Kulkarni12. Optimization Techniques and Algorithms for Dental Implants – A Comprehensive ReviewNiharika Karnik and Pankaj DhatrakIndex
Les mer

Produktdetaljer

ISBN
9780367698409
Publisert
2024-10-07
Utgiver
Vendor
CRC Press
Vekt
553 gr
Høyde
246 mm
Bredde
174 mm
Aldersnivå
P, UP, 06, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
286

Redaktør
Shah, Pritesh
Sekhar, Ravi
Kulkarni, Anand J.
Siarry Patrick

Biographical note

Pritesh Shah is an Associate Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.

Ravi Sekhar is an Assistant Professor at the Symbiosis Institute of Technology, Symbiosis International (Deemed University), India.

Anand J. Kulkarni is an Associate Professor at the Symbiosis Center for Research and Innovation, Symbiosis International (Deemed University), India.

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Creteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et Systemes Intelligents (LiSSi).

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