IEEE

Bi-LSTM-Based Train Fault Detection System Using Edge Computing and IoT for Enhanced Railway Safety

Abstract: Rapid transit systems are a vital part of the public transportation system, providing safety, minimizing cost, and reducing travel times. Existing railway systems face significant issues, ...
Frontiers

A Hybrid CNN-LSTM approach for multi-step discharge forecasting with satellite data

The final, formatted version of the article will be published soon. An innovative hybrid forecasting model was developed to predict hourly river discharges up to 24 hours in advance. The proposed ...
The Lancet

Daily steps and health outcomes in adults: a systematic review and dose-response meta-analysis

aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...
IEEE

Comparison between LSTM and Bi-LSTM for Wind Speed Forecasting

Abstract: Weather forecasting is an important part of fields such as renewable energy, aviation, weather and climate science. This article examines the performance of LSTM and BI-LSTM neural networks ...
bpHope

Antidepressant Tapering: Why a ‘Smallest First Step’ Is Vital

We recently asked the bpHope community to fill out a short questionnaire about their experiences with antidepressants. The results offer a revealing glimpse into the challenges many of you face. In ...
Frontiers

ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization

1 Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg 2 Department of Electrical and Computer Engineering (EIT), RPTU University of ...