Over the past few years, larger and deeper neural network models, particularly convolutional
neural networks (CNNs), have consistently advanced state-of-the-art performance across …

Convolutional neural networks (CNNs) are commonly employed for demanding
applications, such as speech recognition, natural language processing, and computer …

Federated learning (FL) is a machine learning paradigm that allows multiple FL participants
(FL-PTs) to collaborate on training models without sharing private data. Due to data …

Accurate tracing of crude oil origins is essential for thwarting deceptive trade practices,
including origin falsification to evade taxes, thereby preventing economic losses and …

Abstract Convolutional Neural Networks (CNNs) use convolutional kernels to extract
important low-level to high-level features from data. The performance of CNNs improves as …