This study is to develop and train a convolutional neural network (CNN) specially designed for the use of detecting emotions. The aim is to implement this trained model in a …
Abstracts Category: Machine and Deep Learning
This script is utilizing the real time smile detecting to use of Haar Cascades .Using OpenCV, the system can identify and find faces and smiles in a video stream,- Methodology: …
The present study demonstrates the real-time emotional detection using a CNN. We develop and apply a model that efficiently categories human emotions according to facial expressions by using image data. …
Through the analysis of patient data, our objective is to create models that can precisely forecast the status of heart disease, thereby watchting in the early detection and treatment of …
The main objective of the current research is to use machine learning techniques to accurately and timely detect diabetes. The aim is to build models by means of patient data …
Here we seek to use machine learning methods for prospective student probability of university admission. We develop models that properly predict admissions by using applicant data. These models are predicated …
The principal goal of this research is to group different kinds of Iris flowers through the use of various machine learning techniques. We aim to develop models which are able …
Ames, Iowa, which is the location of Iowa State University, encounters a substantial amount of alcohol-related occurrences, which exemplify the characteristics of a typical town centred around a college. This …
Indeed, this work looks into the scores of the games – Super Bowl, the popularity of television viewership and different facets of the halftime shows to understand what contributes to …
In this research, the ratings and users’ attitudes of the apps on Google play store are analyzed in view of developing a pattern or cause that may define app success. …