Results 121 to 130 of about 3,566,037 (267)

Set_MV_TV: Single boosted regression tree (BRT) habitat models for 13 fish species based on measured hydromorphological variables and topological variables

, 2015
Results for single boosted regression tree (BRT) models for 13 fish species, 4 modelled distance classes (0, 200, 2500, 4000 m) and measured hydromorphological data (MV) with topological variables.
Christian Wolter (153342), Kail, Jochem, Johannes Radinger (2911214), Radinger, Johannes, Jochem Kail (505659), Wolter, Christian   +5 more
core   +1 more source

Do More Open Economies Export Less Diversely in Brazilian Agribusiness?

Agribusiness, EarlyView.
ABSTRACT This paper asks whether municipalities with a larger export‐to‐revenue ratio display a more concentrated bundle of exported goods in Brazilian agribusiness. Recent advances in export imputation for Brazilian municipalities allow for an analysis of the concentration profile of each municipality and its association with export openness.
Alan Leal, Michelle Marcia Viana Martins
wiley   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Set_AV: Single boosted regression tree (BRT) habitat models for 13 fish species based on assessed hydromorphological variables without topological variables

, 2015
Results for single boosted regression tree (BRT) models for 13 fish species, 4 modelled distance classes (0, 200, 2500, 4000 m) and assessed hydromorphological data (AV) without topological variables.
Christian Wolter (153342), Kail, Jochem, Johannes Radinger (2911214), Radinger, Johannes, Jochem Kail (505659), Wolter, Christian   +5 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

Advanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade, Isaac Vidal‐Daza, Rafael Gómez‐Bombarelli, James W. Ryan, Francisco J. Martin‐Martinez   +4 more
wiley   +1 more source

A multi-decadal aerial survey reveals patterns in manatee abundance and response to seagrass die-offs

Frontiers in Marine Science
Florida manatees (Trichechus manatus latirostris) are challenged by human alteration of landscapes and waterways. Coastal eutrophication has increased the frequency and intensity of Indian River Lagoon (IRL) algal blooms, promoting seagrass die-offs in ...
Douglas M. Scheidt, Jane A. Provancha, Eric D. Stolen, David R. Breininger, Resa A. Cancro, Russell H. Lowers, Eric A. Reyier, Bonnie J. Ahr   +7 more
doaj   +1 more source

Hyperparameters for the miss/hit gradient-boosted decision tree model.

Hyperparameters for the miss/hit gradient-boosted decision tree model.
Joseph Sollini (9221201), Jules M. Lebert (18389720), Carla S. Griffiths (18389717), Jennifer K. Bizley (3666442)   +3 more
core   +1 more source

Multi-site solar power forecasting using gradient boosted regression trees

, 2017
The challenges to optimally utilize weather dependent renewable energy sources call for powerful tools for forecasting. This paper presents a non-parametric machine learning approach used for multi-site prediction of solar power generation on a forecast ...
Henrik Madsen, Shiga, Takahiro, Caroline Persson, Peder Bacher, Persson, Caroline Stougård, Madsen, Henrik, Takahiro Shiga, Bacher, Peder   +7 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source