Results 81 to 90 of about 22,279 (217)

Forecasting Green‐Lipped Mussel Settlement via Feature Engineering and Random Forest Regressor

New Zealand Journal of Marine and Freshwater Research, Volume 60, Issue 1, March 2026.
Spat settlement is vital in the life cycle of green‐lipped mussels (Perna canaliculus) and in the aquaculture industry, particularly in New Zealand. Spat, the juvenile stage of mussels, settle on substrates like ropes, initiating their growth into adults.
Emrah Hancer, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang   +4 more
wiley   +1 more source

Predictive algorithms for supply chain management: a comprehensive approach to forecasting delivery times and managing risk

Journal of Modern Science
The article delves into the challenges of delivery time management in today's business landscape. The authors underscore the need for precise delivery time forecasts, a key factor in maintaining a competitive edge and meeting customer expectations.
Dariusz Woźniak, Michał Warszycki, Józef Stokłosa, Rafał Szrajnert, Robert Chmura   +4 more
doaj   +1 more source

LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis [PDF]

, 2023
Lei Han, Yiziting Zhu, Yu‐Wen Chen, Guoqiong Huang, Yi Bin   +4 more
openalex   +1 more source

Integrative machine learning approach for identifying genes associated with quantitative traits: A soybean (Glycine max) yield case study

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract To improve the identification of minor‐effect molecular markers and genes associated with quantitative traits, addressing inefficiencies in traditional molecular marker mining and the limited impact of these markers in practical breeding, we analyzed over 15,000 soybean (Glycine max) genotypes across nine maturity groups using an AI‐driven ...
Wei Zhou, Haoyong Ouyang, Zhengxiao Yan, Jiayi Song, Yichan Li, Zhou Tang, Chang Zhao   +6 more
wiley   +1 more source

Vasopressor Use in Acute Burn Resuscitation: A Retrospective Study

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 3, March 2026.
ABSTRACT Background Vasopressors are often introduced in severe burn patients who respond poorly to fluid resuscitation to maintain adequate blood pressure and avoid fluid creep. This study aims to characterise these patients and explore potential correlations between vasopressor use and patient outcomes.
Kristine Knappskog, Kostiantyn Botnar, Julia Kleinhapl, Juquan Song, Amina El Ayadi, Henning Onarheim, Anne Berit Guttormsen, George Golovko, Steven Wolf, Stian Kreken Almeland   +9 more
wiley   +1 more source

A Machine Learning Method for Maximum Temperature Bias Correction in Complex Terrain

Gaoyuan qixiang
To enhance the prediction accuracy of the 2-meter maximum temperature in complex terrain areas， this study developed a gradient modeling approach based on the LightGBM （Light Gradient Boosting Machine， LGB） algorithm， applied to the Sichuan Basin and its
Qiuxue ZHOU, Liangmin FENG, Chaoping CHEN, Di HU   +3 more
doaj   +1 more source

Bank predictions for prospective long-term deposit investors using machine learning LightGBM and SMOTE

, 2021
Much Aziz Muslim, Yosza Dasril, A Alamsyah, Tanzilal Mustaqim   +3 more
openalex   +1 more source

Mapping Flood Hazard Across Mainland China Through a Physics‐Based Global Flood Model With Embedded Reservoir Operation Scheme

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT China has complex topography, diverse flood mechanisms, and high population exposure, making it highly vulnerable to flooding, highlighting the need for robust national‐scale hazard assessments to identify flood‐prone regions. However, most existing hazard studies are limited to regional scales or rely on empirical indicator‐based methods that
Jayesh Parmar, Subhankar Karmakar, Cheng Zhang, Yuexiao Liu, Slobodan P. Simonovic   +4 more
wiley   +1 more source

Temperature Prediction of Satellite Flywheel Based on LightGBM [PDF]

, 2021
Jiaxi ZHU, Yurong Liu
openalex   +2 more sources

Analysis of Arrhythmia Features based on LightGBM and Kmeans Feature Extraction

, 2023
H Li, X. Hong, Baoyan Hu
openalex   +2 more sources