000 | 02057cam a2200373 i 4500 | ||
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001 | 23257154 | ||
003 | EG-ScBUE | ||
005 | 20240305105927.0 | ||
008 | 230802t2024 nyua f b 001 0 eng d | ||
020 | _a9781264675913 | ||
020 | _z1264675917 | ||
040 |
_aDLC _beng _erda _cDLC _dDLC _dEG-ScBUE |
||
082 | 0 | 4 |
_a511.313 _222 _bTSO |
100 | 1 |
_aTsoukalas, Lefteri H., _eauthor. |
|
245 | 1 | 0 |
_aFuzzy logic : _bapplications in artificial intelligence, big data, and machine learning / _cLefteri H. Tsoukalas. |
264 | 1 |
_aNew York : _bMcGraw Hill, _c[2024] |
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264 | 4 | _cc2024 | |
300 |
_axiii, 158 pages : _billustrations ; _c24 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
520 |
_a"This hands-on guide offers clear explanations of fuzzy logic along with practical uses and detailed examples. Written by an award-winning engineer and experienced author, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and skills in students and professionals alike. Inside, you will discover how to apply fuzzy logic and migrate to a new man-machine relationship in the context of pervasive digitization and big data across emerging technologies. The book lays out real-world applications in intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization"-- _cProvided by publisher. |
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650 | 0 | _aFuzzy logic. | |
650 | 7 |
_aArtificial intelligence. _2BUEsh |
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650 | 7 |
_aMachine learning. _2BUEsh |
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650 | 7 |
_aBig data. _2BUEsh |
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653 |
_cMay2024 _bMASIICCSS |
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655 | _vReading book | ||
906 |
_a7 _bcbc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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942 |
_2ddc _cBB |
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999 |
_c30687 _d30658 |