FAMEWS has primarily been designed to run on the HiRID dataset. However, it is possible to give already processed input to some stages in order to run it on other datasets that differ in their format.
This project implements a modular Machine Learning pipeline to detect fraudulent transactions using the IEEE-CIS dataset. It features a multi-model ensemble approach (LightGBM & XGBoost) with ...
Objectives: Neuropathic pain (NP) is a common and challenging complication following thoracic oncology surgery, characterized by complex etiological factors. However, effective predictive models for ...
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, ...
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 ...
Abstract: Satellite-based wildfire detection models provide real-time data that is essential for effective management of wildfires, whose frequency and intensity are increasing. However, conventional ...
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