Results 71 to 80 of about 10,521 (255)

EvoDropX: Evolutionary Optimization of Feature Corruption Sequences for Faithful Explanations of Transformer Models

Algorithms
As deep learning models become increasingly integrated into critical decision-making systems, the need for explainable Artificial Intelligence (xAI) has grown paramount to ensure transparency, accountability, and trust.
Dhiraj Kumar Singh, Conor Ryan
doaj   +1 more source

From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss, Judith A. Smith, Robert A. Colbert, Erin Treemarcki, Michael H. Weisman, Walter P. Maksymowych, Hermine I. Brunner, for the Childhood Arthritis and Rheumatology Research Alliance, Spondyloarthritis Research and Treatment Network, and Pediatric Rheumatology Collaborative Study Group Advisory Council   +9 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Grammatical Evolution-based Analog Circuit Synthesis [PDF]

Informacije MIDEM, 2020
M. Kunaver, M. Kunaver
doaj   +1 more source

A Modular Liver–Microbial Microfluidic Platform to Evaluate Therapeutic and Adverse Effects of Microbial Metabolites

Advanced Healthcare Materials, EarlyView.
This study introduces a modular microfluidic platform that connects liver cells with live microbes to mimic key aspects of the gut–liver interaction in steatosis. Using this system, both microbial metabolites and live bacteria significantly reduced fat accumulation in liver cells, but live microbes triggered inflammation and broader metabolic changes ...
Hsih‐Yin Tan, In Young Hwang, Nanthini Jayabalan, Hui Ling Lee, Louis Jun Ye Ong, Chwee Teck Lim, Matthew Wook Chang, Yi‐Chin Toh   +7 more
wiley   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

Automatic Generation of Synthesisable Hardware Description Language Code of Multi-Sequence Detector Using Grammatical Evolution

Algorithms
Quickly designing digital circuits that are both correct and efficient poses significant challenges. Electronics, especially those incorporating sequential logic circuits, are complex to design and test. While Electronic Design Automation (EDA) tools aid
Bilal Majeed, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan   +4 more
doaj   +1 more source

Application of grammatical evolution to coefficient identification problem in two-dimensional elastic problem

Computer Assisted Methods in Engineering and Science, 2017
Grammatical evolution (GE), which is a kind of evolutionary algorithms, is designed to find a function, an executable program or program fragment that will achieve a good fitness value for the given objective function to be minimized.
Takuya Kuroda, Hideyuki Sugiura, Eisuke Kita   +2 more
doaj   +1 more source

COVID-19 Predictive Models Based on Grammatical Evolution. [PDF]

SN Comput Sci, 2023
Tsoulos IG, Stylios C, Charalampous V.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source