Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
Abstract: In recent years, there has been evidence of a growing interest on the part of universities to know in advance the academic performance of their students and allow them to establish timely ...
Abstract: Analyzing time series data in industrial settings demands domain knowledge and computer science expertise to develop effective algorithms. AutoML approaches aim to automate this process, ...
See my DrGFreeman/rps-cv-data-science repository where I posted different notebooks demonstrating some cool data science analysis on the image dataset resulting from this project. This project results ...
Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...
There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Pulmonary embolism accounts for 10–15% of all paediatric venous thromboembolism (VTE) events, with an annual incidence of 0·14–0·9 per 100 000 children.1,2 Although rare, pulmonary embolism is a ...
This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...