Results 241 to 250 of about 4,635,657 (309)

Interpreting artificial neural network-based modeling of 4 H-SiC mosfets using explainable AI. [PDF]

Sci Rep
Hsiao YS, Chang PJ, Chen BR, Rai R, Singh SK, Chauhan YS, Lee WJ, Chen NY, Wu TL.   +8 more
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Explainable AI for effective management of urban heat sources. [PDF]

Sci Rep
Sabal M, Danek T, Zaręba M, Węglińska E.   +3 more
europepmc   +1 more source

Explainable AI-Based Analysis of Deflection in RC Beams with Longitudinal GFRP Bars in Tension Zone. [PDF]

Polymers (Basel)
Karabulut M.
europepmc   +1 more source

Explainable AI-driven graph-based neural networks for mucopolysaccharidoses diagnosis. [PDF]

BioData Min
Fadul R, Tumzghi N, Seghier M, Al-Jasmi F, AlShehhi A.   +4 more
europepmc   +1 more source

SHAP-based explainable AI framework for autism severity classification using 3D motor biomarkers. [PDF]

Front Psychiatry
Fırat Y.
europepmc   +1 more source

Seam Carving Forgery Detection Through Multi-Perspective Explainable AI. [PDF]

J Imaging
Neves MJD, Mahlow FRP, Souza RD, Hernandes PRG, Brega JRF, Costa KAPD.   +5 more
europepmc   +1 more source

Ensemble learning approach with explainable AI for improved heart disease prediction. [PDF]

Front Pharmacol
Adekoya A, Saeed F, Ghaban W, Qasem SN.
europepmc   +1 more source

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The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

International Journal of Human Computer Studies, 2021
Artificial intelligence and algorithmic decision-making processes are increasingly criticized for their black-box nature. Explainable AI approaches to trace human-interpretable decision processes from algorithms have been explored.
Dong-Hee Shin
exaly   +2 more sources

Explaining Explainable AI

2020
An aspect of User friendly AI involves explanation and better transparency of AI. Explainable AI(XAI) is an emerging area of research dedicated to explain and elucidate AI systems. In order to accomplish such an explanation, XAI uses a variety of tools, devices and frameworks.
Swaroop Panda, Shatarupa Thakurta Roy
openaire   +1 more source