LEADER 02967nam  22005415  450 
001 9910760256003321
005 20231006195642.0
010   $a3-031-40677-X
024 7 $a10.1007/978-3-031-40677-5
035   $a(MiAaPQ)EBC30774825
035   $a(Au-PeEL)EBL30774825
035   $a(DE-He213)978-3-031-40677-5
035   $a(PPN)272920223
035   $a(EXLCZ)9928478158600041
100   $a20231006d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEmbedded Machine Learning for Cyber-Physical, IoT, and Edge Computing$b[electronic resource] $eUse Cases and Emerging Challenges /$fedited by Sudeep Pasricha, Muhammad Shafique
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (571 pages)
311 08$aPrint version: Pasricha, Sudeep Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Cham : Springer,c2023 9783031406768 
330   $aThis book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
606   $aEmbedded computer systems
606   $aElectronic circuits
606   $aCooperating objects (Computer systems)
606   $aEmbedded Systems
606   $aElectronic Circuits and Systems
606   $aCyber-Physical Systems
615  0$aEmbedded computer systems.
615  0$aElectronic circuits.
615  0$aCooperating objects (Computer systems).
615 14$aEmbedded Systems.
615 24$aElectronic Circuits and Systems.
615 24$aCyber-Physical Systems.
676   $a006.22
700   $aPasricha$b Sudeep$01372957
701   $aShafique$b Muhammad$0763589
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910760256003321
996   $aEmbedded Machine Learning for Cyber-Physical, IoT, and Edge Computing$93598707
997   $aUNINA