Trust in modern cybersecurity, especially in access control and communication, has
morphed from a status to continuous verification. This transition, captured in a security model …

Convolutional Neural Networks have become a popular image and video recognition tool,
achieving state-of-the-art performance in various domains such as object detection, face …

Underwater exploration, environmental monitoring, and infrastructure inspection are just few
of the many applications where autonomous navigation of underwater robots is a tough and …

Since the last two decades, the problem of check theft and the data breaches from
centralized systems has gotten worse. In this study, we looked at how blockchain technology …

Quantum computing has surfaced as a revolutionary idea with the potential to transform
industries ranging from cryptography to drug discovery. However, alongside its promise …

Pharmaceutical manufacturing is a critical industry that demands high precision and
efficiency while adhering to stringent quality standards. This is where artificial intelligence …

In this study, we investigate how AI and ML might revolutionize the agricultural industry,
particularly with regard to increasing crop output while decreasing input costs. Applying AI …

This study investigates the manner in which to diagnose and treat Parkinson's disease using
deep learning-based medical robotics. The study analyses the possibilities of these …

In the context of big data analytics, this study examines the use of algorithms based on deep
learning for feature extraction. Traditional methods usually have trouble sifting through the …

Using OpenCV, this research compares the performance of deep learning with standard
computer vision approaches for detecting object in photos and videos. Recognizing and …