Results 191 to 200 of about 12,539 (300)

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

A fast fully automated approach for evaluating calcified lesions in intravascular ultrasound. [PDF]

Eur Heart J Digit Health
Liu S, Camarasa RYR, Neleman T, Ziedses des Plantes A, Daemen J, de Bruijne M, van Soest G.   +6 more
europepmc   +1 more source

One Anatomy, Multiple Valve Choices: Interobserver Agreement in Selecting Transcatheter Pulmonary Valve

Catheterization and Cardiovascular Interventions, EarlyView.
Methodological framework among international observers to understand clinical decision‐making and interobserver agreement in TPVR planning. ABSTRACT Background Transcatheter pulmonary valve replacement (TPVR) requires selecting the optimal device type, size, and position. Variability in anatomical shape may affect procedural planning.
Camilo E. Pérez‐Cualtán, Jaime Cabrales, Francisco Garay, Carlos Eduardo Guerrero‐Chalela, Marcelo Rivarola, Juan P. Rozo, Juan Carlos Samayoa, Jenny Zablah, Javier Navarro‐Rueda, Juan C. Briceño Triana, Luis Felipe Giraldo   +10 more
wiley   +1 more source

Interpretable ensemble learning for tumor-type prediction with a SHAP-based evaluation of CatBoost and voting classifiers. [PDF]

Sci Rep
Wolak W, Plichta A, Orlicki H.
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

SelectVote Byzantine Fault Tolerance for Evidence Custody: Virtual Voting Consensus with Environmental Compensation. [PDF]

Sensors (Basel)
Onyeashie BI, Leimich P, McKeown S, Russell G.   +3 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

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Time to start a research agenda on electoral integrity within political organizations. [PDF]

Open Res Eur
Villaplana FR, Borz G, Fitzpatrick J, Lisi M, Barberà O.   +4 more
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source