Electrospun nanofibers have gained prominence as a versatile material, with applications
spanning tissue engineering, drug delivery, energy storage, filtration, sensors, and textiles …

Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

Highway state agencies incur significant budget savings through optimal allocation of
pavement Maintenance, Rehabilitation, and Reconstruction (MR&R) activities. These …

Long-Term Evolution (LTE) technology is utilized efficiently for wireless broadband
communication for mobile devices. It provides flexible bandwidth and frequency with high …

Hydrothermal carbonization (HTC) presents a promising method for converting
carbonaceous waste into renewable fuels, facilitating energy recovery. This study focuses …

Abstract Artificial Neural Networks (ANNs) have been used in a multitude of real-world
applications given their predictive capabilities, and algorithms based on gradient descent …

Identifying cyber-attacks that attempt to compromise digital systems is a critical function of
intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and …

Big data refers to vast volumes of structured and unstructured data that are too large or
complex for traditional data-processing methods to handle efficiently. The importance of big …

In recent years, Neural networks are increasingly deployed in various fields to learn complex
patterns and make accurate predictions. However, designing an effective neural network …

In the last few years, Neural Networks have become more common in different areas due to
their ability to learn intricate patterns and provide precise predictions. Nonetheless, creating …