漠不关心 发表于 2025-3-21 18:06:00
书目名称Near-sensor and In-sensor Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0662319<br><br> <br><br>书目名称Near-sensor and In-sensor Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0662319<br><br> <br><br>Infraction 发表于 2025-3-21 23:48:53
978-3-031-11508-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl悬挂 发表于 2025-3-22 03:04:02
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https://doi.org/10.1007/978-3-031-11506-6Neuromorphic Computing; In-Memory Computing; edge computing; Neuromorphic Hardware; Reconfigurable neura粘土 发表于 2025-3-22 10:13:40
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Bioinspired In-Sensor Computing Devices for Visual Adaptation, perception systems. Optoelectronic devices and systems with photo-sensing and self-adaptation functions can mimic complex biological visual adaptation behaviors. In this chapter, we overview recent progress on emerging devices for in-sensor visual adaptation. First, the phenomenon and mechanism ofGesture 发表于 2025-3-23 00:08:06
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Neuromorphic Vision Chip,ocessor, and a memory device, which shows advantages in imaging and in situ intelligent processing for edge applications with high accuracy, high speed, and low power consumption. On the basis of the dataflow within a chip, vision chips can be classified into two categories: frame-driven vision chip初次登台 发表于 2025-3-23 06:50:49
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