Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2023 The Editor(s) (if appl

震驚

萬靈丹

insurrection

Arabic Speech Emotion Recognition Using Deep Neural Network hand and the expansion of smart devices on the other explain such behavior. Since the recordings can contain, beyond the verbal expression, the feelings of the sender, it is essential to take into account and process this kind of information in data classification tasks. As a result, one of the mos

訓(xùn)誡

有節(jié)制

Machine Learning with Reinforcement for Optimal and Adaptive Learningmer of technology. We have challenges to overcome around digital sciences which must have the same place as life and earth sciences in the training of an individual in school curricula. Artificial intelligence is particularly concerned. How to overcome the initial representations of students who may

Aerophagia

Incorporating Deep Learning and Sentiment Analysis on Twitter Data to Improve Tourism Demand Forecasaccuracy of tourism demand, this study presents a hybrid model that combines a sentiment analysis model with a deep learning model to forecast monthly tourist arrivals to Hong Kong. A VADER model is employed to get sentimental scores of tweets extracted from Twitter. Then, the Long Short-Term Memory

著名

A Deep Learning Model for Diabetic Retinopathy Classificationntelligence, the efficiency is increased, and the cost is reduced for DR disease. One of the central ideas of deep learning is to take knowledge from a trained model on a dataset and apply it to a similar dataset with the same problem. This technique is called transfer learning. In this paper, we pr

expdient

廣口瓶

Cytokines

2367-3370 spectives related to digital technologies and their applicatThis book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as artificial