In recent years, social media platforms have emerged as rich sources of real-time data that
can be leveraged for various predictive analytics tasks. This study explores the utility of …

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

In the realm of healthcare, the integration of Internet of Things (IoT) technology has
revolutionized patient monitoring, allowing for real-time data collection and analysis. This …

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

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

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 …

This paper introduces Smart Waste Management (SWM), a system integrating IoT
technology and ML algorithms to enhance waste management efficiency. By leveraging real …

This project aims to investigate the application of deep learning techniques for the
identification and diagnosis of diseases affecting cotton leaves, with the ultimate goal of …

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 …

Plant leaf identification plays a pivotal role in various fields, including agriculture, botany,
and environmental monitoring. Leveraging advancements in deep learning, this study …