pv magazine International

Penumbra-aware irradiance modeling for agrivoltaic orchards

A Delft University of Technology team has improved agrivoltaic light-simulation methods by making atmospheric and canopy ...
GitHub

ASK-Berkeley/Neural-Spectral-Methods

This repo contains the JAX implementation of our ICLR 2024 paper, Neural Spectral Methods: Self-supervised learning in the spectral domain. Yiheng Du, Nithin ...
Frontiers

3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal

Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery ...
Frontiers

Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...
C&EN

Introducing SpectraFit: An Open-Source Tool for Interactive Spectral Analysis

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In chemistry, analyzing spectra through peak fitting is a crucial task that helps ...
IEEE

SUnAA: Sparse Unmixing Using Archetypal Analysis

Abstract: This letter introduces a new sparse unmixing technique using archetypal analysis (SUnAA). First, we design a new model based on archetypal analysis (AA). We assume that the endmembers of ...