Results 131 to 140 of about 57,481 (265)

Machine Learning for Predicting Coronary Heart Disease Risk in Patients with Hypertension: An Ensemble Modeling Approach. [PDF]

Healthc Inform Res
Hassan FH, Wang S, Miron A.
europepmc   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Source camera attribution using a rule-based explainable convolutional neural network. [PDF]

Sci Rep
Nayerifard T, Amintoosi H, Ghaemi Bafghi A.   +2 more
europepmc   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

The Platform Messaging Effect (PME): A quantification of how go-vote reminders on social media platforms can influence voting intentions. [PDF]

PLoS One
Epstein R, Newland A, Tang LY, Edmison A.   +3 more
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Rejection-based choices discourage people from opting out of voting. [PDF]

Nat Commun
Su YH, Shenhav A.
europepmc   +1 more source

Framing Modern Slavery: Do Stakeholders Talk Past Each Other?

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, EarlyView.
ABSTRACT Modern slavery literature has thus far mostly adopted a downstream perspective, in the sense that researchers investigated corporate actors' responses after the enactment of transparency legislation. The common finding is that corporate disclosure is poor and ineffective, contributing to a failure to eradicate modern slavery.
Sylvain Durocher, Darlene Himick, Leigh Ellen Walsh   +2 more
wiley   +1 more source

Link Prediction in Heterogeneous Information Networks: Improved Hypergraph Convolution with Adaptive Soft Voting. [PDF]

Entropy (Basel)
Zhang S, Huang Y, Luo Z, Zhou J, Wu B, Sun K, Mao H.   +6 more
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source