Performance comparison of convolutional and multiclass neural network for learning style detection from facial images
Improving the accuracy of learning style detection models is a primary concern in the area of
automatic detection of learning style, which can be achieved either through, attribute/feature …
automatic detection of learning style, which can be achieved either through, attribute/feature …
Advances, Challenges and Opportunities in Deep Learning Approach for Object Detection: A Review
FL Gambo, AS Haruna, US Muhammad… - … and Applied Science …, 2023 - ieeexplore.ieee.org
Object detection is a major task in computer vision which have a widespread applications
across various domains. Recognizing objects from sample images and videos is such a …
across various domains. Recognizing objects from sample images and videos is such a …
[PDF][PDF] Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
BE ÖZSEVEN, N ÇAĞMAN - academia.edu
The most important factor on the success of the student is the student's readiness for the
lesson, motivation, cognitive and emotional state. In face-to-face education, the educator can …
lesson, motivation, cognitive and emotional state. In face-to-face education, the educator can …
An Emotion Recognition Model Using Facial Expressions in Distance Learning
BE Özseven, N Cagman - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi - dergipark.org.tr
The most important factor on the success of the student is the student's readiness for the
lesson, motivation, cognitive and emotional state. In face-to-face education, the educator can …
lesson, motivation, cognitive and emotional state. In face-to-face education, the educator can …
[PDF][PDF] Gender Recognition through Facial Image Analysis using Machine Learning Techniques: A Review.
FL Gambo, AS Haruna, AA Hashim, AA Abdullahi - nijocet.fud.edu.ng
Advancements in machine learning and deep learning have revolutionized gender
recognition by enabling highly accurate and automated systems. These technologies utilize …
recognition by enabling highly accurate and automated systems. These technologies utilize …