Environmental pollution is a critical global issue caused by large volumes of waste generated. Recycling is emerging as one of the most viable solutions to mitigate the impact of waste on environment. This study focuses ...

The rapid expansion of social media has intensified the spread of hate speech and online harassment, posing serious threats to vulnerable groups based on age, gender, religion, and ethnicity. While Artificial Intelligence ...

Parkinson’s disease (PD) is a progressive neurological disorder that results in loss of dopaminergic neurons in brain and has a profound effect in patients, particularly because of the motor symptoms, including bradykinesia, ...

Working mothers entrust their children to daycare centers, which in turn provide parents with a detailed report of the food given to the child throughout the day. This research work develops an application that uses the ...

Anticipating stock market fluctuations is a crucial routine that investors must engage in when participating in the stock trading market, making it an intriguing research area. The stock market is subjected to the ...

In the ever-evolving landscape of business app development, companies face the challenge of whether to update their existing apps, originally built using native methods, to a hybrid approach. Many organizations hesitate ...

The growing sophistication and frequency of cyber threats call for new methods to detect, analyze, and respond. Many of the traditional cybersecurity approaches are known to leave gaps as they fail to factor in or address ...

The Novel Coronavirus (COVID-19), which emerged in late 2019, was first identified in Wuhan, China. It rapidly escalated into a global pandemic, affecting millions and causing unprecedented social and economic disruptions. ...

In the symphony of human interaction, the voice remains a fundamental medium of communi cation between people. With the rapid increase in Internet traffic, the complexity of encrypted protocols has also increased. Voice ...

This research represents a notable stride in the evolution of machine learning appli cations within the healthcare domain, seeking to address a conspicuous void in the intricate realm of asthma severity prediction and ...