Abstract: This project looks into the possibility of applying machine learning to optimize wireless networks for adaptive communication. Using 5G resource data, it applies preprocessing, exploratory ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

NEWARK, NJ – A New Jersey federal judge has dismissed a lawsuit filed by a longtime professor at the New Jersey Institute of Technology who claimed the university copied and commercialized his ...

Abstract: Many sigmoid colon cancer prediction systems rely on traditional methods, which are prone to human error and ineffective in spotting minute variations ...

Summary: Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks. Unlike traditional methods that only cluster nodes, this approach groups ...

The upcoming couple of weeks are shaping up to be a critical period for XRP, with the U.S. Securities and Exchange Commission (SEC) postponing its decisions on new spot exchange-traded funds (ETFs) ...

Introduction: Segmentation of echocardiograms plays a crucial role in clinical diagnosis. Beyond accuracy, a major challenge of video echocardiogram analysis is the temporal consistency of consecutive ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...