Results 111 to 120 of about 20,583 (298)
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
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
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
doaj +1 more source
eXplainable AI (XAI) -Lecture 2-
, 2021 Segona sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6584.mp4 6584 ...
Lapuschkin, Sebastian
core
Energy Science &Engineering, EarlyView.This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah +2 more
wiley +1 more source
/xai/xai School; Excellent Group Shot (Majority Ju Students)
, 1980 /xai/xai ...
Lee, Richard B.
core +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
iMeta, EarlyView.Graphical overview of explainable artificial intelligence (XAI) for farm‐to‐fork postharvest preservation. Postharvest deterioration accumulates across orchard, packhouse, refrigerated transportation, warehouse, and distribution stages under fluctuating temperature, humidity, atmosphere, and mechanical stress.
Peihua Ma +11 more
wiley +1 more source