| Description |
1 online resource (229 p.) |
| Contents |
Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- ORGANIZATION OF THE BOOK -- List of Contributors -- Challenges and Opportunities for Deep Learning Applications in Industry 4.0 -- Nipun R. Navadia1,*, Gurleen Kaur1, Harshit Bhadwaj2, Taranjeet Singh2, Yashpal Singh2, Indu Malik3, Arpit Bhardwaj4 and Aditi Sakalle5 -- INTRODUCTION -- HISTORY OF ML IN MANUFACTURING -- CHALLENGES IN THE REALM OF MANUFACTURING -- INTRODUCTION TO TECHNOLOGIES -- Introduction to Artificial Intelligence and Machine Learning -- Supervised Machine Learning |
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Unsupervised Machine Learning -- Reinforcement Learning -- INTRODUCTION OF SUPERVISED ML ALGORITHM IN THE REALM OF MANUFACTURING -- APPLICATION OF ML TECHNIQUES IN MANUFACTURING -- AREAS OF APPLICATION TO SUPERVISED MACHINE LEARNING IN MANUFACTURING AND ITS DEVELOPMENT -- MANAGEMENT OF METHOD/MACHINE LEVEL UNCERTAINTIES AND ADJUSTMENTS -- Tool Condition Manufacturing -- Process Modelling -- Adaptive Control -- Intelligent Approaches in System-Level Control of Difficulty, Modification, and Disruption -- Holonic Manufacturing Systems (HMSs) |
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Approaches to Improve the Efficiency of the Output System Dependent on Agents -- ADVANTAGES AND CHALLENGES IN THE USE OF MACHINE LEARNING IN THE DEVELOPMENT OF MANUFACTURING -- Advantages -- Challenges -- CONCLUDING REMARKS -- CONSENT OF PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Application of IoT-A Survey -- Richa Mishra1,* and Tushar1 -- INTRODUCTION -- IoT in MANUFACTURING -- LITERATURE SURVEY -- ROLE OF IOT IN PANDEMIC COVID-19 -- Benefits of AROGYA SETU App -- Advantages of IoT -- INFORMATION -- Tracking -- Time -- Money -- Better Quality Of Life -- Energy |
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Disadvantages of IoT -- Privacy and Security -- Too Much Reliance On The Technology -- Distraction From The Real World -- Unemployment and Lack Of Craftsmanship -- CONCLUSION -- CONSENT OF PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Cloud Industry Application 4.0: Challenges and Benefits -- Abhikriti Narwal1 and Sunita Dhingra1 -- INTRODUCTION -- FUNDAMENTAL CONCEPTS -- Industry 4.0 (I4.0) -- NINE PILLARS OF INDUSTRY 4.0 -- Advanced Robotics -- Additive Manufacturing -- Augmented Reality -- Simulation -- Horizontal/Vertical Integration |
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Industrial Internet and Internet of Things -- Cloud -- Cyber Security and Cyber-physical Systems -- Big Data Analytics -- THE CLOUD AND INDUSTRY4.0 -- Pay as You Use -- Agility and Flexibility -- Zero Deployment Time -- Cost Reduction -- Shorter Innovation Cycles -- Increase in the Speed and Rate of Innovation -- Total Cost of Ownership Optimization -- Rapid Provisioning of Resources -- Increased Control over Costs and Savings -- Dynamic use of Resources -- Sustainability and Privacy -- Optimization in IT Functionality -- Skills -- APPLICATIONS -- Cloud Manufacturing (CM) |
| Summary |
The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection o |
| Notes |
Description based upon print version of record |
|
Digital Shadow of Production |
| Form |
Electronic book
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| Author |
Sharma, Dolly
|
|
Mangla, Monika
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| ISBN |
9789815036060 |
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9815036068 |
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