Results 41 to 50 of about 101,601 (232)
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
Predicting of swelling-shrinking level of expansive soil using support vector regression
Level scaling of expansive soil is of significant importance in practical engineering. In this study, a support vector regression (SVR)-based predicting model of expansive soil level was proposed.
Suhua ZHOU +4 more
doaj +1 more source
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source
Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection [PDF]
This study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recastaccuracy of Support Vector Regression (SVR) to Neural Network (NN) models, using a linear model as a ...
Claveria, Oscar +2 more
core +1 more source
An efficient method to include equality constraints in branch current distribution system state estimation [PDF]
Distribution system state estimation is a fundamental tool for the management and control functions envisaged for future distribution grids. The design of accurate and efficient algorithms is essential to provide estimates compliant with the needed ...
MUSCAS, CARLO +3 more
core +2 more sources
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Fixed points and coincidence points for multimaps with not necessarily bounded images
In metric spaces, single-valued self-maps and multimaps with closed images are considered and fixed point and coincidence point theorems for such maps have been obtained without using the (extended) Hausdorff metric, thereby generalizing many results in
Naidu SVR
doaj
Regression-based Multi-View Facial Expression Recognition [PDF]
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g.
Pantic, Maja +2 more
core +3 more sources
ABSTRACT Aim Bile acids accumulation in hepatocytes causes liver damage and contributes to the development of hepatocellular carcinoma. However, the association between serum bile acid levels and postoperative intrahepatic recurrence in hepatocellular carcinoma remains unclear.
Tomoaki Bekki +9 more
wiley +1 more source
NAFLD‐related hepatocellular carcinoma: The growing challenge
Risk and protective factors for NAFLD‐related hepatocellular carcinoma Abstract Hepatocellular carcinoma (HCC) is a common cause of cancer‐related mortality and morbidity worldwide. With the obesity pandemic, NAFLD‐related HCC is contributing to the burden of disease exponentially.
Pir Ahmad Shah +2 more
wiley +1 more source

