IEEE

Enhancing Resilient Operation of Distributed Energy Resources Using an Improved Machine Learning-Based IoT Framework Against Cyberattack Perturbation

Abstract: The most realistic way to achieve large-scale integration of distributed energy resources (DERs) into the current grid system is to implement microgrids. These systems function as localized ...
GitHub

AI and Humanity in Collaboration: Exploring the Riemann Hypothesis

⚠️ Note: The figure generation scripts are currently being consolidated from multiple Jupyter notebooks. Python .py versions will be added progressively for reproducibility. 🗓️ This research was ...
Forbes

The Rise Of Distributed Data Centers In The AI Era

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...
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 ...
IEEE

High-Precision Data-Mechanism-Driven Lateral Velocity Estimation Using Transfer Learning in Distributed Vehicles

Abstract: Accurate lateral velocity estimation is vital for vehicle stability and motion control. Traditional methods based on kinematic or dynamic models often suffer from drift and parameter ...