This paper revolves around weapon recognition. It introduces the dual-framework dispute of
the target to control two CNNs that are used to foreground jointly with the SVM-P and fuse …

A system in place for real-time monitoring, leak detection, water use optimizations, and water
distribution that can adjust through IoT technologies dynamically is being developed; it …

A new method combining Federated Learning and Convolutional Neural Networks (CNNs)
is explored in this study for the precise identification of Brinjal leaf diseases in agricultural …

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 …

Organizing computing distributed resources in conjunction with machine learning algorithms
in the age of big data is critical. This paper presents the FRL approach that combines …

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 …

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 …