Results 171 to 180 of about 93,551 (286)

Enhanced glucose forecasting using recurrent neural network and advanced feature engineering. [PDF]

Sci Rep
Osman MH, Mahmoud M, Zakzouk S, Mohamed S, Gomaa I, Darweesh MS, Taha S, Soltan A.   +7 more
europepmc   +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

Reduction of the space dimension of parameters characterizing geomagnetic storms during the Solar Cycle 24. [PDF]

Sci Rep
Siluszyk A, Gil A, Modzelewska R, Siluszyk M, Wawrzaszek A, Wawrzynczak A.   +5 more
europepmc   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Multivariate time-series forecasting of liver biomarkers from longitudinal lifestyle data for nonalcoholic steatohepatitis detection. [PDF]

JAMIA Open
Mila SA, Ray S.
europepmc   +1 more source

Satellite hindcasts of foliar traits reveal a subtle but consistent relaxation of conservativeness in a biodiverse mountain grassland over the last four decades

Ecography, EarlyView.
Projected warming and drying raise concerns about the resilience of stress‐adapted ecosystems, including the Brazilian Campo Rupestre, an exceptionally biodiverse mountaintop grassland mosaic on ancient, nutrient‐poor substrates. Here, we combine field‐based trait data and long‐term remote sensing to assess the functional structure and temporal ...
Renata Maia, Milton Barbosa, Daniel Negreiros, Geraldo Wilson Fernandes, Yadvinder Malhi, Jesus Aguirre‐Gutiérrez   +5 more
wiley   +1 more source

ICP-MS based seasonal and spatiotemporal evaluation of potentially toxic and major elements in surface waters of Akdağ National Park, Türkiye. [PDF]

Sci Rep
Karakuş Z, Kara R, Yalçın M, Yılmaz H, Kandır H, Fidan AF.   +5 more
europepmc   +1 more source

Spatial distribution of acoustic traits in bird assemblages along regional bioclimatic gradients

Ecography, EarlyView.
Environmental variation shapes acoustic interactions among birds, creating spatial structures in the sonic signature of local species assemblages. Exploring these patterns at regional scales can reveal processes that segregate acoustic strategies along environmental gradients.
Michela Busana, Frédéric Sèbe, Luc Barbaro, Jonathan Carruthers‐ Jones, Solène Croci, Alice Eldridge, Almo Farina, Amandine Gasc, Charlène Gemard, Sylvain Haupert, Sandra Müller, Jean‐Yves Barnagaud   +11 more
wiley   +1 more source

Influence of COVID-19 on postoperative prognosis and pain management. [PDF]

PLoS One
Hu YZ, Qin ZL, Tang W, Hu ZL, Luo RY.
europepmc   +1 more source