An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Abstract: In this letter, we introduce the first spiking-based network optimized for synthetic aperture radar (SAR) ship detection and compare its performance with conventional neural networks (CNNs).

MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...

Generalize Hopfield-like neural networks using a deformed maximum entropy principle. Exhibit explosive transitions, multi-stability, and memory capacity enhancements. Are analytically tractable via ...

Abstract: Aiming to address the lack of effective parameter-tuning strategies for model-free predictive controllers, this letter proposes an online self-learning approach using a tiny neural network.

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...