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, ...
Scientific Research Publishing

Guo, G., Wang, H., Bell, D., Bi, Y. and Greer, K. (2003) KNN Model-Based Approach in Classification. In: Meersman, R., Tari, Z. and Schmidt, D.C., Eds., Lecture Notes in ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
IEEE

Drone Detection and Drone Type Classification Using Deep Learning Technique

Abstract: The demand and usage of drones are increasing day by day, and with this increased popularity, new types of drones are coming into the market for various purposes. However, due to the ...
GitHub

EEG-Depression-Classification-HybridSNN-LSTM

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.
Hoops Rumors

How Teams Are Using 2025/26 Bi-Annual Exceptions

The bi-annual exception is one of the tools available to NBA teams who are over the cap, giving those clubs the flexibility to offer free agents more than the minimum salary. In 2025/26, the bi-annual ...
GitHub

MATLAB-based spectral analysis and classification app using Machine Learning

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...