Object detection using deep learning has attracted considerable interest from researchers
because of its competency in performing state-of-the-art tasks, including detection …

The integration of information from multiple modalities is a highly active area of research.
Previous techniques have predominantly focused on fusing shallow features or high-level …

Face recognition is a rapidly growing field with multiple applications. Numerous face
recognition algorithms have been developed over the years. In this research, use a …

This comprehensive project rotates around the development, construction, and assessment
of a Single Axis solar tracker, designed to optimize solar energy utilization. The project's …

Plant disease classification has been significantly advanced through the utilization of Deep
Neural Networks (DNNs). Given the substantial impact of plant diseases on crop yield and …

The Python script recognizes faces in real-time webcam video by using computer vision
algorithms. For face detection, facial feature encoding, and face comparison with known …

Internet of Things has developed, one of its most beneficial uses in cloud computing has
been data sharing. Even though this technology has attracted attention, one of its ongoing …

Addressing the issues of authenticity and complexity that are lacking in current
homogenized crowd models, as well as the insufficiency in granularity of emotional …

In an era marked by escalating concerns over public safety and crime prevention, the
demand for sophisticated surveillance technologies has surged. This paper presents a …

The integration of Light Fidelity (Li-Fi) technology within Smart Cities to enhance vehicle-to-
vehicle (V2V) communication systems. Highlighting the limitations of traditional radio …