两边在扩散 发表于 2025-3-21 17:43:38

书目名称Explainable Edge AI: A Futuristic Computing Perspective影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0319296<br><br>        <br><br>书目名称Explainable Edge AI: A Futuristic Computing Perspective读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0319296<br><br>        <br><br>

CANON 发表于 2025-3-21 21:42:09

https://doi.org/10.1007/978-1-4614-9035-7AI is used in every field where AI can be used but with some modification or by adding some techniques of XAI as “SHAP (Shaply Additive exPlanations), DeepSHAP, DeepLIFT, CXplain, and LIME”. The main goal of this chapter is to provide a brief overview of XAI by covering almost every aspect of XAI. T

分解 发表于 2025-3-22 03:59:52

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Melanoma 发表于 2025-3-22 07:47:55

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有常识 发表于 2025-3-22 09:46:08

https://doi.org/10.1007/978-0-387-85731-2ery difficult to understand. It sometimes becomes a very hard task for the domain experts too to understand the ML algorithms of the black block models, so the need for the development of this type of technology was felt. Many times, results are developed with very high accuracy are quite easy to un

托运 发表于 2025-3-22 15:24:53

Satellite in Real (Perturbed) Orbit,riteria. The Edge AI community, which spans several ICT, engineering, and perform computer science subfields, researches unique machine learning techniques for the edge computing environment. The objective is to offer a hypothetical roadmap that may unite important players and enablers in order to t

托运 发表于 2025-3-22 20:19:45

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自制 发表于 2025-3-22 22:48:41

Michael S. Ritsner,Irving I. Gottesmanstomer service. The best example of explainable edge AI is virtual assistants such as Alexa, google assistant. They learn from the user’s world and phrases and can store them directly on the device. These are just a few examples later, and we have possible applications in future works on the explain

Original 发表于 2025-3-23 02:51:59

George Foussias,Ofer Agid,Gary Remingtonof parameters, it is difficult to interpret the model creating a black box. The chapter aims to outline the explainability of data fusion at the edge. It highlights different data models of fusion, discusses a framework for AI and data fusion at the edge and identifies potential challenges and possi

AUGER 发表于 2025-3-23 08:50:43

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查看完整版本: Titlebook: Explainable Edge AI: A Futuristic Computing Perspective; Aboul Ella Hassanien,Deepak Gupta,Ankit Garg Book 2023 The Editor(s) (if applicab