Results 91 to 100 of about 22,279 (217)

Leisure Time Prediction and Influencing Factors Analysis Based on LightGBM and SHAP [PDF]

, 2023
Qiyan Wang, Yuanyuan Jiang
openalex   +1 more source

Tropical Rainforests Exhibit Higher Multidimensional Stability Than Rubber Plantations Despite Lower Resistance to Temperature Anomalies

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Rapid rubber plantations (RB) expansion in Southeast Asia raises critical questions about regional ecosystem stability. We compared stability between monoculture RB and diverse tropical rainforests (RF) using 37 years of satellite‐derived gross primary productivity across three metrics: long‐term temporal stability, resilience, and resistance ...
Zhong‐Yi Sun, Zi‐Qin Wang, Run‐Qing Zhang, Jun‐Fu Zhao, Shuai Yin, Lan Wu, Zheng‐Hong Tan   +6 more
wiley   +1 more source

Unveiling financial well-being: Insights from retired people in Third Age group in Poland, Spain and Denmark

Economics and Business Review
The study investigates the financial well-being of older people in Poland, Spain and Denmark, with a particular focus on their ability to make ends meet.
Jajko-Siwek Alicja
doaj   +1 more source

Comparison of Random Forest, XGBoost, and LightGBM Methods for the Human Development Index Classification

Jambura Journal of Mathematics
Machine learning classification is an effective tool for categorizing data based on patterns, which is particularly useful in analyzing the Human Development Index (HDI) in Indonesia. HDI serves as a key indicator of regional development progress, making
Yunna Mentari Indah, Rafika Aristawidya, Anwar Fitrianto, Erfiani Erfiani, L.M. Risman Dwi Jumansyah   +4 more
doaj   +1 more source

Stock Volatility Prediction Based on 1D-CNN and LightGBM [PDF]

, 2022
Ningyun Dan, Yuxin Li, Zimo Nie, Yuan Li
openalex   +1 more source

SKALE: An Interpretable Multiscale Machine Learning Model for Decoding Phase‐Specific Protein Aggregation in Neurodegenerative Proteinopathies

Aggregate, Volume 7, Issue 2, February 2026.
Protein aggregation drives diverse degenerative diseases, yet its molecular origins are difficult to predict. SKALE uses interpretable machine learning to link sequence, structure, and dynamics, revealing how local structural weakening triggers aggregation.
Wei Xuan Wilson Loo, Jia Shen Sio, Keyin Yap, Yan Shan Loo, Hui Xuan Lim, Shuangyue Zhang, Huitao Liu, Chen Seng Ng   +7 more
wiley   +1 more source

AutoEncoder and LightGBM for Credit Card Fraud Detection Problems [PDF]

, 2023
Haichao Du, Li Lv, An Guo, Hongliang Wang   +3 more
openalex   +1 more source

Geometric Microstructural Characteristics of White Matter Differentiate Patients With Facial Dyskinesias and Palsy

CNS Neuroscience &Therapeutics, Volume 32, Issue 2, February 2026.
Patients with facial dyskinesias and palsy show distinct white matter geometric microstructural patterns. Meige's syndrome patients exhibit markedly altered white matter integrity and geometry, while facial palsy patients' white matter features correlate with clinical severity.
Hua Zhu, Aocai Yang, Jixin Luan, Manxi Xu, Bing Liu, Kuan Lv, Pianpian Hu, Amir Shmuel, Haogang Zhu, Zhen Yuan, Ni Shu, Jian Cheng, Guolin Ma   +12 more
wiley   +1 more source

Predicting BNPL Loan Defaults: A Comparison of Ensemble Learning Models Combined With Balancing Techniques and an Analysis of the Impact of Digital Literacy

Engineering Reports, Volume 8, Issue 2, February 2026.
In this study, we predicted BNPL loan defaults by introducing two new variables related to the use of digital banking platforms and assessing their impact. We compared ensemble learning models in combination with data balancing methods and logistic regression (for feature selection).
Parivash Khalili, Mehrdad Kargari, Mohammad Ali Rastegar, Abdollah Eshghi   +3 more
wiley   +1 more source

Utilizing machine learning to establish a predictive model for transfusion requirements in patients with severe trauma: A comprehensive analysis

Hong Kong Journal of Emergency Medicine, Volume 33, Issue 1, February 2026.
Abstract Background Blood transfusion plays a crucial role in the emergency care of trauma patients, significantly impacting their survival rates and prognoses, thereby saving millions of lives annually. Early and rapid recognition of transfusion needs in trauma patients is essential.
Kaiyuan Li, Jiayi Xing, Bing Lu, Siyi Cao, Miao Yu, Fei Pan, Dingyuan Tu, Tanshi Li   +7 more
wiley   +1 more source