| 000 | 03623nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-63565-6 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112636.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240718s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031635656 _9978-3-031-63565-6 |
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| 024 | 7 |
_a10.1007/978-3-031-63565-6 _2doi |
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| 050 | 4 | _aTK7867-7867.5 | |
| 072 | 7 |
_aTJFC _2bicssc |
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_aTEC008010 _2bisacsh |
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| 072 | 7 |
_aTJFC _2thema |
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| 100 | 1 |
_aSafa, Ali. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980832 |
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| 245 | 1 | 0 |
_aNeuromorphic Solutions for Sensor Fusion and Continual Learning Systems _h[electronic resource] : _bApplications in Drone Navigation and Radar Sensing / _cby Ali Safa, Lars Keuninckx, Georges Gielen, Francky Catthoor. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXV, 214 p. 89 illus., 88 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction -- Bridging the accuracy gap between SNNs and DNNs via the use of pre-processing for radar applications -- Design of a drone platform for sensor fusion data acquisition -- A top-down approach to SNN-STDP networks -- Sensor-fusion SLAM with continual STDP learning -- Continually learning people detection from DVS data -- Active inference in Hebbian learning networks -- Conclusions and future work -- Appendix. | |
| 520 | _aThis book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs. Describes systematic design of SNN-STDP systems that significantly outperform prior works in terms of system accuracy; Presents the design of a first-of-its-kind SNN-STDP-based Simultaneous Localization and Mapping system for drones; Includes real examples of tasks such as radar-based gesture recognition and drone navigation. | ||
| 650 | 0 |
_aElectronic circuit design. _966119 |
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| 650 | 0 |
_aEmbedded computer systems. _964625 |
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| 650 | 0 |
_aCooperating objects (Computer systems). _964303 |
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| 650 | 1 | 4 |
_aElectronics Design and Verification. _966120 |
| 650 | 2 | 4 | _aEmbedded Systems. |
| 650 | 2 | 4 |
_aCyber-Physical Systems. _965638 |
| 700 | 1 |
_aKeuninckx, Lars. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980833 |
|
| 700 | 1 |
_aGielen, Georges. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980834 |
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| 700 | 1 |
_aCatthoor, Francky. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980835 |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031635649 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031635663 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031635670 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-63565-6 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 999 |
_c61714 _d61714 |
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