Results 111 to 120 of about 55,142 (282)
大数据可解释AI（explainable AI，XAI）是可信AI技术的重要组成。当前，业界对XAI的技术点展开了深入的研究，但在工程化实施方面尚缺少系统性研究。提出了一种通用的XAI技术架构，从原子解释生成、核心能力增强、业务组件嵌入、可信解释应用4个方面入手，设计了XAI基础能力层、XAI核心能力层、XAI业务组件层、XAI应用层4个层级，通过各技术层之间的分工协作，XAI工程化的落地实施得到了全流程保障。基于该XAI架构，可以灵活地引入新的技术模块，支撑XAI的产业化应用 ...
夏正勋, 唐剑飞, 杨一帆, 罗圣美, 张燕, 谭锋镭, 谭圣儒
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Deep Underground Science and Engineering, EarlyView.This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
, 2005 We give an algorithm for calculating the maximum entropy state as the least fixed point of a Scott continuous mapping on the domain of classical states in their Bayesian order.Comment: 15 ...
Martin, Keye
core +2 more sources
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi +8 more
wiley +1 more source
Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI
Journal of Medical Radiation Sciences, EarlyView.ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau +5 more
wiley +1 more source
Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis
JEADV Clinical Practice, EarlyView.ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes +9 more
wiley +1 more source
The Kaohsiung Journal of Medical Sciences, EarlyView.ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov +10 more
wiley +1 more source
npj Digital MedicineThe rapid growth of clinical explainable AI (XAI) models raised concerns over unclear purposes and false hope regarding explanations. Currently, no standardised metrics exist for XAI evaluation.
Aida Brankovic +8 more
doaj +1 more source
ICT ExpressExplainable Artificial Intelligence (XAI) is crucial for the transition from the fourth to fifth industrial revolution, providing transparency and fostering user confidence in Artificial Intelligence (AI) powered systems.
Konstantinos Nikiforidis +8 more
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