Frontiers

Machine learning model for predicting neuropathic pain following thoracic oncology surgery

Objectives: Neuropathic pain (NP) is a common and challenging complication following thoracic oncology surgery, characterized by complex etiological factors. However, effective predictive models for ...
Frontiers

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust

1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
IEEE

Hybrid CNN–LGBM Model for Planetary Boundary Layer Height Estimation Combined With Temporal–Height–Spatial Features

Abstract: The planetary boundary layer (PBL) height (PBLH), as a critical meteorological parameter, plays a pivotal role in atmospheric dynamics, climate, and pollution diffusion studies. A radar wind ...
GitHub

13029991519-MM/hierarchical-wrmsse-lgbm

Code accompanying the project "Store-specific LightGBM with WRMSSE-aware Blending for the M5 Forecasting–Accuracy Task". The repository implements a hierarchical, WRMSSE-aligned forecasting pipeline ...
IEEE

A Hybrid Approach for Forecasting Occupancy of Building’s Multiple Space Types

Abstract: The occupancy datasets are useful for planning important buildings’ related tasks such as optimal design, space utilization, energy management, maintenance, etc. Researchers are currently ...
GitHub

Leucanthos/transfer-learning-demo

. ├── data/ # 原始数据目录 │ └── outputs/ # 处理后的特征数据 ├── lgbm_weights/ # 预训练模型权重 ├── src ...