Property testing in graph theory concerns the design of sublinear‐time algorithms that, given query access to a large graph, swiftly distinguish between the case where the graph satisfies a global ...
We present CC-Fuzz, an automated framework that uses genetic search algorithms to generate adversarial network traces and traffic patterns for stress-testing CCAs.
ABSTRACT: Deep learning has come to be one of the most transformative generations in current clinical imaging, imparting advanced answers for diagnosis, segmentation, and sickness class. This complete ...
Add unit tests which create random text and compare a patterned_text field against match_only_text. To keep things simple, can be a unit test, but should follow a pattern similar to the logsdb vs ...
Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
Until just five days ago, our repository had very few randomized algorithms. If anyone is motivated, they can dive into the topic and implement some interesting randomized algorithms. These algorithms ...
Treatment Patterns, Trends, and Outcomes of Neoadjuvant Chemotherapy Use Among Patients With Early-Stage Invasive Triple-Negative Breast Cancer The purpose ot this study was to assess the ...
Background: Obstructive sleep apnea (OSA) is common among patients with ischemic stroke and transient ischemic attack (TIA) and has been associated with poor outcomes. Guidelines recommend evaluating ...
LAS VEGAS - January 16, 2025 (NEWMEDIAWIRE) - Avant Technologies Inc. (OTCQB: AVAI) ("Avant" or the "Company"), and its partner, Ainnova Tech, Inc., (Ainnova), a leading healthcare technology company ...
@inproceedings{2023-Ray-hotnets, author = “Ray, Devdeep and Seshan, Srinivasan”, title = “CC-Fuzz: Genetic Algorithm-Based Fuzzing for Stress Testing Congestion ...
During the past fifteen years, there has been a tremendous growth of research on randomized (sketching) algorithms for large-scale computations, such as matrix multiplication, least-squares, singular ...
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