IEEE

UAV Classification Using Attentive Binarized CNN for Micro-Doppler Spectrograms

Abstract: Radar-based micro-Doppler spectrograms offer a robust representation for classifying aerial objects, particularly small Uncrewed Aerial Vehicles (UAVs), in scenarios where optical sensing is ...
IEEE

Stress Classification From ECG Signals Using Vision Transformer

Abstract: Vision transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals such as ...
C&EN

3D Hyperspectral Data Analysis with Spatially Aware Deep Learning for Diagnostic Applications

Institute of Physical Chemistry (IPC) and Abbe School of Photonics (ASP), Friedrich-Schiller-Universität Jena, Helmholtzweg 4, 07743 Jena, Germany ...
GitHub

Prediction of Stock Prices Using Time-Frequency Analysis and Convolutional Neural Networks

This is a short research idea I explored for a couple of weeks for a novel way of approaching the allure of stock prediction that attracts every machine learning novice. The idea this time is to ...
Frontiers

A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset

Passive acoustic monitoring is a well-established tool for researching the occurrence, movements, and ecology of a wide variety of marine mammal species. Advances in hardware and data collection have ...
Frontiers

Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network

Hand movement classification based on surface electromyography (sEMG) pattern recognition is a promising approach for upper limb neuroprosthetic control. However, maintaining day-to-day performance is ...