In recent years, the proliferation of mobile devices in healthcare settings has revolutionized
patient care delivery and medical data management. However, the increased reliance on …

The proliferation of drones in various industries has raised concerns about the security and
privacy of their operations. To address these concerns, this paper proposes a novel …

In urban areas, efficient parking management is crucial for optimizing traffic flow and
enhancing overall transportation systems. This paper introduces a novel approach to …

In today's digital landscape, ensuring the security of data transmitted and stored in the cloud
is paramount. Traditional encryption methods face challenges in scalability and …

Predicting drug-drug interactions (DDIs) is crucial for medication safety and efficacy.
Traditional methods often face challenges in capturing complex interactions within large …

Edge computing has emerged as a promising paradigm to address the latency and
bandwidth constraints of traditional cloud computing by bringing computation and storage …

Epilepsy, a neurological disorder characterized by recurring seizures, presents considerable
challenges in diagnosis. This study proposes a novel diagnostic approach integrating …

The availability of structural image data has significantly increased in recent years due to the
widespread use of improved imaging techniques. The increase in the amount of data has …

The concept of containerization consists of encapsulating applications with their libraries
with the help of operating system level virtualization, ensuring they are separated from other …

The current study presents a novel methodology for improving the recognition of Indian Sign
Language (ISL) by combining Deep Convolutional Neural Networks (CNN) with manually …