Timely and accurate detection of diseases in vegetables is crucial for effective management
and mitigation strategies before they take a harmful turn. In recent years, convolutional …

Within the framework of a rapidly expanding worldwide population and the critical need to
guarantee food security, precision agriculture has arisen as a crucial area of study and …

This research study aims to analyze the table tennis serve shot tactics with the help of
Convolutional Neural Networks (CNN) coupled with Random Forest (RF) models. The study …

The existence of diseases in cattle offers many challenges in the practice of cattle rearing,
not only in productivity but also in profitability. This paper examines the feasibility of …

One specific need often associated with the maintenance of urban public assets, including
roads, is the identification of potholes as part of maintaining the structures' reliable, safe …

The wilting of leaves caused by disease poses risks to both harvest yield and the
environment. Therefore, the timely detection of disease signs on leaves is crucial to enable …

This work assesses the advancement achieved in cross-domain Chinese text categorization
through implementing FL. Audible, explicit, and traditional methods of centralized text …

Diagnosing liver cancer at an early stage is crucial to enhancing the possibility of treatment
success and patients' survival rates because it remains a significant global health problem …

Device-directed speech detection (DDSD) is essential for any speech-based interface and
simplifies the utilization of voice-activated systems, especially in areas with high levels of …

This research study presents a new structure comprising CNN and LSTM networks for
identifying serve strokes in table tennis. Analyzed in this study were serve shots, a crucial …