Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Evaluating the Usability of an mHealth App for Empowering Cancer Survivors With Disabilities: Heuristic Evaluation and Usability Testing. [PDF]
JMIR Hum FactorsAdler RF +5 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
A Heuristic Evaluation to Assess Use of After Visit Summaries for Supporting Continuity of Care. [PDF]
Appl Clin Inform, 2018 Tremoulet P +6 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Understanding Pitfalls and Opportunities of Applying Heuristic Evaluation Methods to VR Training Systems: An Empirical Study. [PDF]
Int J Hum Comput InteractGuo X +4 more
europepmc +1 more source
Safeuristics! Do Heuristic Evaluation Violation Severity Ratings Correlate with Patient Safety Severity Ratings for a Native Electronic Health Record Mobile Application? [PDF]
Appl Clin Inform, 2019 Kennedy B +4 more
europepmc +1 more source
Heuristic evaluation of GeoWeb
, 2008 In present time there is great demand for geographic information provided by internet. Therefore it comes to large development of internet applications which provide these services. Applications are built by many means however the majority destitute many defects. One of these defects is insufficient usability of new projects.
Hub, Miloslav +2 more
openaire +1 more source
, 2010 This paper presents a method for optimising the performance of irregular Ambisonic decoders for multiple offcentre listeners. New off-centre evaluation criteria are added to a multi objective fitness function, based on auditory localization theory, which
Wakefield, Jonathan P., Moore, David J.
core