Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
IEEE

Dual PPG-Based Blood Flow Abnormality Detection Using Deep Learning

Abstract: This paper presents a novel system for predicting nonuniform blood flow using dual Photoplethysmography (PPG) signals and deep learning. The hardware comprises two PPG sensors strategically ...
GitHub

Global Horizontal Irradiance Forecasting

Abstract: This research aims to develop an accurate and efficient deep learning approach for forecasting Global Horizontal Irradiance (GHI) to facilitate better integration of solar energy into ...
IEEE

Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...