Road mishaps, a global concern, see driver fatigue contributing to roughly 40% of accidents
in India. Detecting drowsiness early is pivotal in countering this threat. Despite prior …

In recent years, social media such as YouTube, TikTok, and Instagram have become an
essential part of the everyday lives of children and young adults. Integrating elements of …

Most real-time computer vision applications heavily rely on Convolutional Neural Network
(CNN) based models, for image classification and recognition. Due to the computationally …

In the contemporary multimedia world, image authentication has become incredibly
important. According to an Ericsson report, the amount of data on the internet has multiplied …

This research focuses on addressing the challenges of visual emotion analysis and
emphasizes the need for improved comprehension and categorization of emotions by …

Globally, eye disorders have been a major issue, especially in developing nations where
resources for technology and financing are limited. Due to its tremendous feature learning …

Accurate classification of military-focused areas using machine learning techniques is
crucial for meeting military criteria. However, preserving high data privacy in aerial image …

In 2018, there were 1 million occurrences of non-melanoma cancer and 288,000
occurrences of malignant skin cancer (MM) recorded worldwide. Given the aging of the …

Facial image captured under uncontrolled environment often degraded by blur, noise and
low-light effect which significantly affect the performance of different real life applications. To …

Unmanned aerial vehicles (UAV) are often known as drones and are designed to introduce
considerable benefits for privacy security and surveillance systems applications. However …