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 ...

Abstract: In recent years, Spiking Neural Networks (SNNs) have been increasingly deployed on Field Programmable Gate Arrays (FPGAs) for enabling low-energy AI inference. SNNs aim to enable more ...

Over the past decade, deep learning (DL) techniques such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have played a pivotal role in advancing the field of ...

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 ...

College of Integrated Circuits and Micro-Nano Electronics, School of Microelectronics, State Key Laboratory of Integrated Chip and System, Fudan University, Shanghai 200433, China ...

Department of Materials Science − Chair for Multicomponent Materials, Faculty of Engineering, Kiel University, Kaiserstraße 2, Kiel D-24143, Germany ...

Abstract: This study explores an intelligent emotional computing method baed on deep convolutional neural networks (DCNNs) aimed at accurately identifying and analyzing learners' emotional states ...