Deep Neural Network

Twitter-sentiment analysis of Moroccan diabetic using Fuzzy C-means SMOTE and deep neural network

Effectively managing diabetes as a lifestyle condition involves fostering awareness, and social media is a powerful tool for this purpose.  Analyzing the content of tweets on platforms like Twitter can greatly inform health communication strategies aimed at raising awareness about diabetes within the Moroccan community.  Unfortunately, the corpus of tweets is imbalanced and the feature extraction leads to data sets with a very high dimension which affects the quality of sentiment analysis.  This study focused on analyzing the content, sentiment, and reach of tweets spec

Optimal fuzzy deep daily nutrients requirements representation: Application to optimal Morocco diet problem

Solving the optimal diet problem necessarily involves estimating the daily requirements in positive and negative nutrients.  Most approaches proposed in the literature are based on standard nominal estimates, which may cause shortages in some nutrients and overdoses in others.  The approach proposed in this paper consists in personalizing these needs based on an intelligent system.  In the beginning, we present the needs derived from the recommendations of experts in the field of nutrition in trapezoidal numbers.  Based on this model, we generate a vast database.  The latter is used to educ

Methods of Vehicle Recognition and Detecting Traffic Rules Violations on Motion Picture Based on OpenCV Framework

In this era, people using vehicles is getting increased day by day. As pedestrians leading a dog for a walk, or hurrying to their workplace in the morning, we’ve all experienced unsafe, fast-moving vehicles operated by inattentive drivers that nearly mow us down. Many of us live in apartment complexes or housing neighborhoods where ignorant drivers disregard safety and zoom by, going way too fast. To plan, monitor and also control these vehicles is becoming a big challenge.