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…
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.…
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