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

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Karen Weston,Mary Ott,Susan Rodger, the node has to monitor the neighboring node parameters at regular intervals, which incurs a huge number of communication overhead. The nodes in sensor network can employ the learning strategy to determine its best possible action to enhance the network coverage as well as network lifetime. The ch

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Explainable Edge AI: A Futuristic Computing Perspective

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Book 2023 finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI

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Explainable Artificial Intelligence: Concepts and Current Progression,AI 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

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Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives,ls. The distrust of totally non-human, autonomous artificial intelligence systems is established as the cornerstone of the movement. The root of distrust lies in a lack of knowledge as to why intelligent systems make certain decisions in certain situations. As a result, this problem has sparked a fr

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Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment Approaches Towaifically, rule based models and expert systems). Models underlying this problem come within the so-called Explainable AI (XAI) field, which is extensively acknowledged as a racial feature for the practical deployment of AI models. As a result, explainable artificial intelligence (XAI) has turned int

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Recent Challenges on Edge AI with Its Application: A Brief Introduction,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

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Explainable Artificial Intelligence in Health Care: How XAI Improves User Trust in High-Risk Decisid eye. Many health care practitioners already use AI, but it is frequently difficult to understand, causing irritation among clinicians and patients, especially when making high-stakes decisions. That’s why the health-care business requires explainable AI (XAI). Significant AI recommendations, such

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Role of Explainable Edge AI to Resolve Real Time Problem,stomer 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