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Machine learning

Estimation of soil salt content in the oasis tillage layer based on hyperspectral transformation and model combination

Yanping Guo, Xuemei Wang, [ ... ], Qian Zhang

Revolutionizing nanosatellites’ data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction

Sara Karim, Ekramul Haque Tusher, [ ... ], Khair Razlan Othman

A multi-modal deep learning framework with GAN-based fusion for enhanced landslide detection

R. Srivats, Deepika Roselind Johnson, [ ... ], Abhiram Sharma

A robust multi-location evaluation of a machine learning framework for wind power forecasting

Usman Ali, Muhammad Sufyan, [ ... ], Muhammad Asif Habib

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer’s disease via data fusion and machine learning

Diana Sofia Rosales-Gurmendi, Gerardo Alejandro Fumagal-González, [ ... ], for the Alzheimer’s Disease Neuroimaging Initiative

Multi-task gradient boosting with multi-modal molecular representations for simultaneous prediction of drug clearance and volume of distribution

Gyu-Seong Lee, Hyeong-Gyu Choi, Dae-Keun Park, Hyo Young Kim

A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathy

Nathan J. Hansen, Karin Woodman, [ ... ], On behalf of the OPC-SURVIVOR Program Working Group

Optimizing LSTM networks and feature selection algorithms using GEE data

Mohammad Kazemi, Reza Naderi Samani, Narges Kariminejad

A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure

Dongdong Tang

DualFusionNet: A fusion-based dual architecture for visual quality control on fabric surfaces

Christopher Mai, Luca Eisentraut, [ ... ], Ricardo Buettner

A GNN-based approach for accurate trade balance forecasting and interpretable analysis

Yifei Huang, Zhiyuan He, Cheng Ding

Two-dimensional ETTC–labeled longitudinal and lateral conflicts for interpretable real-time crash risk prediction in freeway interchange diverging areas

Feng Tang, Rui Wu, Zhizhen Liu, Shiyu Zhong

A two-stage deep learning framework for lead instrument recognition in polyphonic music featuring Chinese instruments

Jiaxiang Zheng, Moxi Cao, Chongbin Zhang

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