The rapid adoption of cloud-native infrastructure for core banking systems represents a significant paradigm shift that has rendered traditional perimeter-based security models insufficient. The transformation from ...

Real-time face detection in low-light conditions is critical for modern surveillance but faces significant challenges due to poor visibility and high noise. Traditional sequential pipelines often suffer from task ...

With the growing use of Unmanned Aerial Vehicles (UAVs), commonly known as drones, in both civilian and military contexts, the ability to recover and analyze deleted drone media has become critical for forensic investigations ...

Real-time multi-person facial expression recognition (FER) is increasingly important for applications such as telemedicine, e-learning, workplace safety, and human–computer interaction, particularly in resource constrained ...

The paper is addressing the significant issue of discontinuity of travel information and free independent is faced with a complex of planning. There is the presence of travelers who are approximated to constitute an ...

Livestock management in Sri Lanka remains largely dependent on manual practices and farmer experience, resulting in challenges such as delayed disease detection, inefficient feeding strategies, and limited access to ...

Vehicle-to-vehicle(V2V) communication represent a critical of next generation trans portation systems. This paper explores how to improve V2V systems through the integration of V2X, using machine learning models, and ...

Mechanical ventilation serves as a lifesaver in the rapidly evolving field of respiratory disease treatment. However, limitations of existing ventilators, such as high cost and limited portability, affect the accessibility ...

The rising prevalence of facial dermatoses, including acne and their variants, ne cessitates the development of effective diagnosis and classification techniques. This systematic review evaluates optimal technologies for ...

The increasing elderly population, particularly those living alone, faces significant challenges related to health monitoring and emergency response. Existing technologies often lack personalization and generate false ...