IEEE

A Novel Optimized Parameter Tuning Algorithm for Wind Turbine Grid-Forming Control to Mitigate Power Oscillations

Abstract: As the transition from synchronous generators (SGs) to renewable energy sources (RESs) accelerates, grid forming wind turbines (GFM-WTs) are increasingly expected to play a critical role in ...
IEEE

FedITD: A Federated Parameter-Efficient Tuning With Pre-Trained Large Language Models and Transfer Learning Framework for Insider Threat Detection

Abstract: Insider threats cause greater losses than external attacks, prompting organizations to invest in detection systems. However, there exist challenges: 1) Security and privacy concerns prevent ...
Microsoft

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

Proteomics has been revolutionized by large pre-trained protein language models, which learn unsupervised representations from large corpora of sequences. The parameters of these models are then ...
Microsoft

Strong Baselines for Parameter Efficient Few-Shot Fine-tuning

Few-shot classification (FSC) entails learning novel classes given only a few examples per class after a pre-training (or meta-training) phase on a set of base classes. Recent works have shown that ...
GitHub

database-performance-tuning-windows

Comprehensive repository offering official resources, detailed guides, and reference materials for Toad on Windows PCs. Designed to support users with accurate, reliable information for effective ...