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Machine learning algorithms

Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin

Ju Zhao, Hanyu Lu, Pengfei Qu, Yongyi Yuan

Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning

Eun-Ji Lee, Sua Kim, Hyun-Ji Lee, Jae-Hwan Jhong

GARN3: A coarse-grained helix centered technique for RNA 3D structures prediction

Jhonatan Silva, Johanne Cohen, Daniel Cordeiro

Circ-EnviroPredict: A machine learning-based tool to predict potential involvement of circRNAs with cold and drought stress through a Word2Vec approach

Maria Clara Martins Ferreira, Frederico Schmitt Kremer, Vanessa Galli

Screening disease feature genes and analyzing correlations with immune cell infiltration in knee osteoarthritis chondrocytes based on multiple machine learning algorithms

Jing-le Zhuge, Xi-yong Li, Yong-le Wang, Juan-fen Ma

Digital media pattern design compression and optimization method based on K-means clustering and LLE dimensionality reduction

Binmei Liu, Shiwan Zhou, [ ... ], Wenting Lu

Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang

Chunyan Jia, Jianhui An, Shengqiang Ma, Xiaomin Dai

Explainable machine learning reveals diverse yield-determining factors among Thai rice farmer cohorts: Implications for targeted agricultural support

Manusnan Suriyalaksh, Benjapon Prommawin, [ ... ], Sutkhet Nakasathien

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia

Andualem Addisu Birlie, Nega Abebe Meshesha, [ ... ], Muluken Belachew Mengistie

Dynamics of botnet propagation model in complex networks considering hybrid method for botnet detection

Mahdieh Maazalahi, Soodeh Hosseini

GS-YOLO: A lightweight high-accuracy model for small target detection in drone aerial images

Xiaoyuan Jin, Xiyuan Zhu, [ ... ], Yuzhen Zhao

Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size

Min Shen, Yongbo Cao, [ ... ], Yongfa Lv

Leveraging nonlinear relationships and interactions to improve 30-day pneumonia readmission machine learning models

Eric M. Mortensen, Nkiruka Atuegwu, Shane J. Sacco

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