Prediction of histological grading in ductal carcinoma <i>in situ</i> based on mammographic signs and clinical information using machine learning models. [PDF]
Wang J +5 more
europepmc +1 more source
Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska +7 more
wiley +1 more source
Screening for undiagnosed hyperglycemia in patients with periodontitis: a cross-sectional study. [PDF]
Gouveia FNA +7 more
europepmc +1 more source
A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe +9 more
wiley +1 more source
Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev +9 more
wiley +1 more source
Fast, flexible analysis of differences in cellular composition with crumblr. [PDF]
Hoffman GE, Roussos P.
europepmc +1 more source
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley +1 more source
Triglyceride-glucose index, neutrophil-to-lymphocyte ratio, and high-sensitivity C-reactive protein across albuminuria stages in type 2 diabetes. [PDF]
Seyam MM +5 more
europepmc +1 more source
Shape Sensing, Mapping, and Obstacle Avoidance of the Continuum Manipulator in Confined Environments
An integrated sensing framework combines capacitive sensors, IMU, and laser array sensor. The shape reconstruction is finished by backpropagation neural network. Accurate shape estimation (relative error of 1.04%) is maintained under a 110 g tip load, while a miniaturized VL6180X array enables local environmental reconstruction and reactive obstacle ...
Pengyuan Wang +9 more
wiley +1 more source
Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu +5 more
wiley +1 more source

