Linear Support Vector Machine Model of an IR Spectral Library: Application to Skin Cancer. [PDF]
Bradley RC +6 more
europepmc +1 more source
Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu +15 more
wiley +1 more source
Pavement condition prediction under small-sample conditions using a particle swarm optimization-based support vector machine. [PDF]
Xu W, Yang Z, Ji Y, Huang P.
europepmc +1 more source
De Novo Autogenic Engineered Living Functional Materials
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad +9 more
wiley +1 more source
A Support vector machine-based mixture cure model for mixed case interval censored data. [PDF]
Pal S, Aselisewine W.
europepmc +1 more source
Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir +2 more
wiley +1 more source
Coronary artery disease prediction using Bayesian-optimized support vector machine with feature selection. [PDF]
Baratpur AZ +4 more
europepmc +1 more source
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source
Forecasting photovoltaic power in high-latitude regions via support vector machine optimized by meta-heuristics. [PDF]
Oruç S, Hınıs MA, Tuğrul T.
europepmc +1 more source

