Results 81 to 90 of about 150,441 (331)

Decoding Structure‐Property Relationships in Anion Exchange Membranes via a Chemically Informed Dual‐Channel Graph Attention Network

Advanced Science, EarlyView.
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen, Ye Hu, Zijun Xiao, Deming Xia, Bo Pang, Xuemei Wu, Gaohong He   +6 more
wiley   +1 more source

MODELLING OVERDISPERSED SEED GERMINATION DATA: XGBOOST'S PERFORMANCE

The Journal of Animal and Plant Sciences, 2023
Depending on the extent of variability in germination count data, the problem of overdispersion arises. This problem causes significant problems in estimation. In this study, gradient boosting algorithms are used as a new approach to support precision agriculture applications in estimating overdispersed germination counts.
Ser, Gazel, Bati, Cafer Tayyar
openaire   +2 more sources

Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost)

Remote Sensing
Due to the complex interaction of urban and mountainous floods, assessing flood susceptibility in mountainous urban areas presents a challenging task in environmental research and risk analysis.
Hancheng Ren, Bo Pang, P. Bai, Gang Zhao, Shu Liu, Yuanyuan Liu, Min Li   +6 more
semanticscholar   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage

Сеченовский вестник
Machine learning (ML) methodology surpasses the traditional tools of statistical analysis in processing big data clinical datasets .Aim. To develop an ML algorithm of application of recurrent neural network to analyze clinical datasets of patients with ...
Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov   +2 more
doaj   +1 more source

Predicting stellar rotation periods using XGBoost

Astronomy & Astrophysics
Context. The estimation of rotation periods of stars is a key challenge in stellar astrophysics. Given the large amount of data available from ground-based and space-based telescopes, there is a growing interest in finding reliable methods to quickly and automatically estimate stellar rotation periods with a high level of accuracy and precision.
Gomes, Nuno R. C., Del Sordo, Fabio, Torgo, Luís   +2 more
openaire   +3 more sources

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. This study is situated at the intersection of clinical oncology and computational intelligence, exploring ...
Sudi Suryadi, Masrizal
doaj   +1 more source

An Optimal House Price Prediction Algorithm: XGBoost [PDF]

Analytics
An accurate prediction of house prices is a fundamental requirement for various sectors, including real estate and mortgage lending. It is widely recognized that a property’s value is not solely determined by its physical attributes but is significantly ...
Hemlata Sharma, Hitesh Harsora, Bayode Ogunleye   +2 more
semanticscholar   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

Advanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang, Shengxin Lu, Guangyong Zheng, Shensuo Li, Hongyu Chen, Mei Hong, Xiangru Zhou, Ruotian Tang, Ye Wu, Weidong Zhang, Dong Lu, Xin Luan   +11 more
wiley   +1 more source