Technological advancements modernize the way we live with the changes made both
globally and nationwide. These technological improvements also cause adverse effects in …

Abstract Changes in the composite stock price index are a barometer of social and
economic development. To improve the accuracy of stock price index prediction, this paper …

The impact of price and price changes should not be ignored while designing algorithms for
predicting customer choice. Consumer preferences should be modeled with consideration of …

In this article, we present a generic locomotion control framework for legged robots and a
strategy for control policy optimization. The framework is based on neural control and black …

The Rutting prediction model is an essential element of efficient pavement management
systems. Accuracy of commonly used predictive model necessitates knowledge of the input …

Return on equity (ROE) and return on assets (ROA) are important indicators that reveal the
sustainability of a company's profitability performance for both managers and investors. The …

In this review article, we explore the transformative impact of deep learning (DL) on
structural bioinformatics, emphasizing its pivotal role in a scientific revolution driven by …

Boiling heat transfer associated with phase change is perhaps one of the most efficient
cooling methodologies to manage extreme heat flux due to its large latent heat. Fin …

Video image processing and object classification using a Deep Learning Neural Network
(DLNN) can significantly increase the autonomy of underwater vehicles. This paper …

Background: This study aimed to validate the application of CT texture analysis in estimating
Bone Mineral Density (BMD) in patients with Type 2 Diabetes (T2D) and comparing it with …