Facial emotion recognition (FER) is significant for human-computer interaction such as
clinical practice and behavioral description. Accurate and robust FER by computer models …

The early detection of diseases is important in agriculture for an efficient crop yield. The
bacterial spot, late blight, septoria leaf spot and yellow curved leaf diseases affect the crop …

The latest improvements in computer vision formulated through deep learning have paved
the method for how to detect and diagnose diseases in plants by using a camera to capture …

Facial expression recognition (FER) in the wild is a novel and challenging topic in the field of
human emotion perception. Different kinds of convolutional neural network (CNN) …

Facial emotion recognition (FER) systems play a significant role in identifying driver
emotions. Accurate facial emotion recognition of drivers in autonomous vehicles reduces …

With the transition from laboratory-controlled to daunting in-the-wild conditions of facial
Emotion recognition (FER) and the recent popularity of deep learning strategies in various …

Classroom communication involves teacher's behavior and student's responses. Extensive
research has been done on the analysis of student's facial expressions, but the impact of …

The control of plant leaf diseases is crucial as it affects the quality and production of plant
species with an effect on the economy of any country. Automated identification and …

Aiming at the low recognition rate of traditional convolutional neural network in facial
expression database, I propose a facial expression recognition method based on VGGNet …

When using neural networks to recognize facial expressions, determining which features
help identify different expressions is essential, and there is a massive information …