Abstract: Rapid advancements in machine learning techniques have opened new avenues for innovative healthcare strategies, particularly in disease prediction. The healthcare sector confronts escalating ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...