This research leverages a novel deep learning model, Inception-v3, to predict pedestrian
crash severity using data collected over five years (2016–2021) from Louisiana. The final …

This paper delves into the specialized domain of human action recognition, focusing on the
Identification of Indian classical dance poses, specifically Bharatanatyam. Within the dance …

Fine-grained image classification is a challenging task due to the small inter-class variance,
the large intra-class difference, and the small training data. Traditional methods typically rely …

Face emotion recognition (FER) has found several applications across numerous industries.
One such application area lies in the field of human–computer interaction, where it can …

HABs pose serious threats to natural aquatic systems, such as mass mortality of aquatic
organisms, degradation of water quality, and human poisoning from consuming aquatic …

Recognizing the real emotion of humans is considered the most essential task for any
customer feedback or medical applications. There are many methods available to recognize …

As a crucial form of non-verbal communication, facial expressions can convey an
individual's emotional state through a combination of facial muscle movements and provide …

Approximately 35% of India's annual crop yield is lost due to plant diseases. Due to a lack of
lab equipment and infrastructure, early diagnosis of plant diseases remains challenging …

Distinctive cognitive processes and analytical approaches are employed by humans and
computers in the realm of emotion recognition, particularly when interpreting nuanced facial …

This research aims to create an additional dataset containing Arabic characters for writing
Jawi script and to train classification models using deep learning architectures such as …