1- A novel hybrid of Shortest job first and round Robin with dynamic variable quantum time task scheduling technique

2-Learner comments-based Recommendation system

3- Automated scoring for essay questions in E-learning

4- Proposal of a modified hash algorithm to increase blockchain security

5- Using Received Strength Signal Indication for Indoor Mobile Localization Based on Machine Learning Technique.

6- Recommendation system based on video processing in an E-learning platform

7- Deep bidirectional LSTM network learning-based sentiment analysis for Tunisian dialectical Facebook content during the spread of the coronavirus pandemic

8- Machine learning based for reducing energy conserving in WSN

9- An in-depth comparison of software frameworks for developing desktop applications using web technologies

10- Decoding multilingual topic dynamics and trend identification through arima time series analysis on social networks: A novel data translation framework enhanced by lda/hdp models

11- A recommendation system involving a hybrid approach of student review and rating for an educational video

12- Educational videos recommendation system based on topic modeling

13- Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content During the Spread of the Coronavirus Pandemic

14- Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text Against Covid-19 Social Media Content

15- Improving tasks scheduling in cloud computing

16- An Intelligent Hybrid Recommendation System for E-Learning Personalization in Smart Campus

17- Intelligent IOT Service Recommendation System Based on Deep Learning

18- A Hybrid TD-PSO Feature Selection Approach for Accurate Arrhythmia Classification based on ECG Heart Signals.

19- An Efficient PSO-QRF Model for Parkinson’s Disease Classification Using Sound Signals in Low-Latency 5G-based Healthcare Communication Systems.

20- A Hybrid E-Learning Recommendation System Incorporating User Reviews and Ratings for Enhanced Course Selection

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