Results 171 to 180 of about 1,214,867 (285)
Explainable AI molecularly imprinted polymer electrochemiluminescence biosensor for discriminative methamphetamine and amphetamine detection. [PDF]
Dokuzparmak E +5 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Explainable AI in breast cancer ultrasound imaging: current developments and challenges. [PDF]
Hameed M, Sim KS.
europepmc +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
A challenge in using machine learning (ML) for decision support in critical domains such as healthcare is their lack of transparency in making predictions.
Rad, Jaber
core
Framework for evaluating explainable AI in antimicrobial drug discovery. [PDF]
Onawole AT, Blaskovich MAT, Zuegg J.
europepmc +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Explainable AI analysis of brake control in CARLA through reference and distilled policies. [PDF]
Wang C +5 more
europepmc +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Explainable AI in kidney stone detection and segmentation: a mini review. [PDF]
Hossen MJ +5 more
europepmc +1 more source

