This paper aims at combining object detection at real time and recognition with suitable
deep learning methods in order to detect and recognize objects position as well as the …

Driver emotion classification is an important topic that can raise awareness of driving habits
because many drivers are overconfident and unaware of their bad driving habits. Drivers will …

In recent times, the growth of human computer interaction and Artificial Intelligence attains
more interest especially in facial expression detection. Though the field has attained …

Various machine learning technologies and artificial intelligence techniques were applied
on different applications of dentistry. Caries detection in orthodontics is a very much needed …

Facial expression recognition is useful for many things, including human-computer
interaction and emotion analysis. For the purpose of recognizing different facial expressions …

Background Skin diseases are common health complications around the world. One of the
most unsafe types of skin cancer is melanoma. Detection of skin cancer in the early stage …

░ ABSTRACT-Many techniques have been proposed for the recognition of Iris. Most of them
are single resolution techniques which results in poor performance. In this paper, feature …

This study introduces a new CNN-SVM model that can categorize facial expressions into
seven distinct emotional states: Happy, fear, angry and neutral became happy; disgust and …

This study examines how different emotional states may be categorized using pupil size as a
possible indication. The effectiveness of the model in correctly identifying emotions based …

Using facial expressions as a foundation for the classification of emotional states, this study
provides a one-ofa-kind CNN-RF model developed specifically for the purpose. An intensive …