Results 141 to 150 of about 6,836 (219)
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge +3 more
wiley +1 more source
An automated decision making framework for modern vehicles CO<sub>2</sub> emissions using multi modal engine telemetry and feature interpretability. [PDF]
Saraswat SK +8 more
europepmc +1 more source
Multi‐element electrical resistance probes fabricated from industrial carbon steels enable real‐time corrosion monitoring in natural seawater and soil. A micro‐alloyed grade (AMLoCor) demonstrates up to 2.4 times improved uniform corrosion resistance over conventional S355 GP steel.
Erwan Diler, Johan Becker, Thomas Urios
wiley +1 more source
A multi-modal data fusion and real-time monitoring on stroke risk prediction using federated learning. [PDF]
K RS, P MK.
europepmc +1 more source
Emotion and Engagement Across the Idol Spectrum: Comparing Virtual and Human Idols
ABSTRACT The increasing adoption of virtual idols in entertainment platforms raises critical questions about how viewers respond to their emotional performances compared to human idols. Despite their growing presence, little is known about whether and how emotional expressivity differs across performer modalities and content formats, or how these ...
Lin Kim +4 more
wiley +1 more source
M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction. [PDF]
Qin L, Zhu W, Liao X, Zhang Y.
europepmc +1 more source
This review details a three‐stage paradigm shift for tumor‐reactive CD8+ T‐cell identification: decoding transcriptomic states, deciphering clonal functional efficacy, and molecular‐level therapeutic TCR design. Addressing translational hurdles and generative AI “scientific blind spots”—such as missing catch bonds—we present a visionary roadmap.
Chao Yang +4 more
wiley +1 more source
Transferable Hot‐Deformation Flow‐Curve Modeling Across Steels Through Transfer Learning
We propose a transferable sequence model that moves steel hot‐deformation ML beyond the “one‐case, one‐model” paradigm. Pretrained across compositions/windows and personalized with four extreme‐condition curves, it improves accuracy and robustness in 10‐fold evaluation.
Changqing Shu +9 more
wiley +1 more source
CGNEP‐MB‐pol: A Single‐Site Coarse‐Grained Machine Learning Potential for Water
ABSTRACT Coarse‐grained (CG) molecular dynamics (MD) can greatly extend the accessible time and length scales for water, provided that the reduced model captures key structural, dynamical, and thermodynamic properties. Here, we introduce a CG machine learning potential (MLP) for water, named CGNEP‐MB‐pol, which integrates a one‐molecule to one‐bead ...
Ke Xu +7 more
wiley +1 more source
MPM-based simulation and bounded-error compression of material points for magnetic tactile sensors. [PDF]
Lin X, Lin G, Liu R, Wang A, Lou Y.
europepmc +1 more source

