000 | 03064cam a2200565 i 4500 | ||
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001 | 22716350 | ||
003 | VITAP | ||
005 | 20250425164436.0 | ||
008 | 220722s2022 caua b 001 0 eng d | ||
010 | _a 2022276510 | ||
015 |
_aGBC1D4702 _2bnb |
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016 | 7 |
_a020297421 _2Uk |
|
020 |
_a9780128238172 _q(paperback) |
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020 |
_a0128238178 _q(paperback) |
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020 |
_z9780128238356 _q(electronic book) |
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020 |
_z0128238356 _q(electronic book) |
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020 |
_z9780128238172 _q(electronic book) |
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020 |
_z0128238178 _q(electronic book) |
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035 | _a(OCoLC)on1241441576 | ||
040 |
_aYDX _beng _cVITAP _erda _dBDX _dUKMGB _dOCLCO _dOCLCF _dYDXIT _dOCLCQ _dOCLCO _dDLC |
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042 | _alccopycat | ||
050 | 0 | 0 |
_aQA76.59 _b.S54 2022 |
082 | 0 | 4 |
_a006.3 SHI _223 |
100 | 1 |
_aShi, Yuanming, _eauthor. |
|
245 | 1 | 0 |
_aMobile Edge Artificial Intelligence : _bOpportunities And Challenges / _cYuanming Shi |
260 |
_aLondon _bAcademic Press _c2022 |
||
264 | 1 |
_aLondon, United Kingdom ; _aSan Diego, CA : _bAcademic Press, an imprint of Elsevier, _c[2022] |
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300 |
_axvii, 187 pages : _billustrations ; _c23 cm |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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500 | _aIt include index pages | ||
504 | _aIncludes bibliographical references and index. | ||
520 |
_aMobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains. As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources.-- _cSource other than the Library of Congress. |
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650 | 0 | _aMobile computing. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aEdge computing. | |
650 | 6 | _aInformatique mobile. | |
650 | 6 | _aIntelligence artificielle. | |
650 | 7 |
_aartificial intelligence. _2aat |
|
650 | 7 |
_aArtificial intelligence. _2fast _0(OCoLC)fst00817247 |
|
650 | 7 |
_aEdge computing. _2fast _0(OCoLC)fst02020291 |
|
650 | 7 |
_aMobile computing. _2fast _0(OCoLC)fst01024221 |
|
700 | 1 |
_aYang, Kai, _eauthor. |
|
700 | 1 |
_aYang, Zhanpeng, _eauthor. |
|
700 | 1 |
_aZhou, Yong, _eauthor. |
|
906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
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942 |
_2ddc _cREF |
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999 |
_c46812 _d46812 |