IEEE

Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models

Abstract: To meet the need for a reliable, contactless, and noninvasive sensing platform for emotion recognition, The one-dimensional (1D) time-series signal dataset obtained using the designed ...

Meteomatics Brings Drone Data to NOAA’s National Weather Service

Weather Intelligence Firm, Meteomatics, Becomes Partner on the National Mesonet Program NEW YORK CITY, NY, UNITED ...
IEEE

Deep Learning-Driven Lung Cancer Detection: Integrating Image Processing and Web-Based Visualization

Abstract: Lung cancer continues to be the main cause of cancer-related mortality worldwide, mostly attributable to late-stage diagnosis and inadequate early detection techniques. This study introduces ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...