| 000 | 02417cam a2200301zu 4500 | ||
|---|---|---|---|
| 001 | 88955622 | ||
| 003 | FRCYB88955622 | ||
| 005 | 20250108004235.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2022 fr | o|||||0|0|||eng d | ||
| 020 | _a9780323907897 | ||
| 035 | _aFRCYB88955622 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
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| 100 | 1 | _aSehgal, Rakesh | |
| 245 | 0 | 1 |
_aSmart Electrical and Mechanical Systems _bAn Application of Artificial Intelligence and Machine Learning _c['Sehgal, Rakesh', 'Gupta, Neeraj', 'Tomar, Anuradha'] |
| 264 | 1 |
_bElsevier Science _c2022 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
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| 337 |
_bc _2rdamdedia |
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| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aSehgal, Rakesh | |
| 700 | 0 | _aGupta, Neeraj | |
| 700 | 0 | _aTomar, Anuradha | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88955622 _qtext/html _a |
| 520 | _aSmart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems. The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples. Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing Contains supporting illustrations and tables, along with a valuable set of references at the end of each chapter Provides original, state-of-the-art research material written by international and national respected contributors | ||
| 999 |
_c79353 _d79353 |
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