In recent years, multimodal biometric systems have gained significant attention due to their
capacity to enhance recognition accuracy and robustness. The integration of multiple …

A nation's economy is primarily reliant on agricultural growth. However, several plant
diseases seriously impair crop growth, both in terms of quantity and quality. Due to a lack of …

Multivariate Time Series (MTS) forecasting has gained significant importance in diverse
domains. Although Recurrent Neural Network (RNN)-based approaches have made notable …

Over the years, farmers have continuously faced the issue of planting various crops at
locations that are not suitable for the growth of certain crops and that in turn affects the crop …

Social engineering, on the other hand, presents weaknesses that are difficult to directly
quantify in penetration testing. The majority of expert social engineers utilize phishing and …

Gender identification from video is an emerging research field that aims to automatically
classify the gender of individuals based on video data. Due to the numerous applications for …

In modern industry, maintaining continuous machine operations is important for improving
production efficiency and reducing costs. Therefore, the smart technology of acoustic …

Federated learning is a recent trend in the field of machine learning for building a
collaborative model from distributed data while preserving its privacy. The focus of existing …

Machine learning (ML) approaches have been shown to be useful in a variety of difficult
issues and domains such as managing resources, cloud services, and edge computing …

A robust muscle fatigue algorithm plays a pivotal role in depicting the degree of muscle
fatigue in both time-series EMG signal graphs and spectral graphs, aligning with human …