IEEE

An amplitude-modulated pseudo-random binary sequence approach to broadband impedance spectroscopy for photovoltaic module system identification

Abstract: Pseudo-random binary sequence (PRBS) has been used for internal impedance identification and shown to be faster and easier to implement than analogue multiple frequency signals. To implement ...
GitHub

Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages

Abstract. An old-school recipe for training a classifier is to (i) learn a good feature extractor and (ii) optimize a linear layer atop. When only a handful of samples are available per category, as ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

WhatsApp Web malware spreads banking trojan automatically

A new WhatsApp Web attack spreads self-propagating ZIP files containing Astaroth banking malware through trusted ...
Asianet Newsable on MSN

Best AI and data science courses for workflow automation

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
IEEE

An Adaptive Amplitude-Modulated Pseudo-Random Binary Sequence Excitation for Converter-Based Impedance Spectroscopy Characterization of Photovoltaic Modules

Abstract: Pseudo-random binary sequence (PRBS) has been implemented through DC-DC converters for internal impedance identification and shown to be faster and easier to implement than analogue multiple ...
GitHub

The Loads Kernel Software allows for the calculation of quasi-steady and dynamic maneuver loads, unsteady gust loads in the time and frequency domain as well as dynamic landing ...

[1] Voß, A., “Loads Kernel User Guide,” Institut für Aeroelastik, Deutsches Zentrum für Luft- und Raumfahrt, Göttingen, Germany, Technical Report DLR-IB-AE-GO ...