Cotton crop diseases can have a substantial impact on crop productivity and quality in the
agricultural industry. The accurate and timely identification of these disorders is critical for …

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 …

Although the number of confirmed COVID-19 cases is still relatively high (see Figure 1), the
interest of the general public in the COVID-19 pandemic is almost coming to an end (see …

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 …

In today's fast-changing retail industry, IoT and data-driven analytics have changed
consumer buying and business operations. In IoT-enabled smart shopping environments …

Email spam detection remains a critical aspect of email security, requiring innovative
approaches to combat increasingly sophisticated spamming techniques. This paper …

This research presents a novel method for monitoring attendance by creating an online
system that combines facial recognition technology with machine learning algorithms to …

Spatial crowdsourcing platforms enable efficient task assignment based on the geographical
locations of workers. However, ensuring the privacy of users' location data poses a …

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 surge of interest in cryptocurrencies, particularly Bitcoin, has spurred extensive research
into understanding its price dynamics. In this study, we delve into the predictive power of …