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

Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

Abstract: Fast charging has attracted increasing attention from the battery community for electrical vehicles (EVs) to alleviate range anxiety and reduce charging time for EVs. However, inappropriate ...

Abstract: This brief proposes a neural network-enhanced digital background calibration scheme for calibrating the linear and the third-order nonlinear gain errors of the residue amplifier (RA) in ...

This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

Exposure to vaginal estradiol not linked to increased rate of recurrent ischemic stroke when adjusted for comorbidity, medications, income, education. HealthDay News — For women with a history of ...

This repository contains a time series forecasting project using the Google Play Store dataset. It systematically compares RNN, LSTM, and GRU models, optimized via Keras Tuner, to predict future app ...

1 CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China Objective: This study aimed to ...