Abstract: This article proposes a knowledge- and data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network. The aircraft ...
ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
The Gravity Exploration Team was able to achieve record-breaking levels of sensitivity with the Quantum Enhanced Space-Time measurement (QUEST) in just a three-hour experiment. The world’s most ...
The following table depicts odds of a player shooting a net Score Differential or better based on their Handicap Index. It is a helpful resource to the Handicap Committee during their review of a ...
With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can explain ...
Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
Dr. JeFreda R. Brown is a financial consultant, Certified Financial Education Instructor, and researcher who has assisted thousands of clients over a more than two-decade career. She is the CEO of ...
Abstract: Graph theory-based techniques have recently been adopted for anomaly detection in hyperspectral images (HSIs). However, these methods rely excessively on the relational structure within the ...
Christiana Jolaoso-Oloyede writes for media publications, B2B brands and nonprofits. Using her research, analytical and writing skills from her training as a lawyer, she focuses on garnering accurate ...
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