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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsWhile linear models tend to be easier to implement and interpret, they often fail to accurately capture complex neural dynamics. This has motivated some neuroscientists and computer scientists to ...
As schools across the nation grapple with the challenges of hiring and retaining teachers, a new study led by renowned ...
Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...
Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...
The discovery of causal relationships from the observational data is an important task. To identify the unique causal structure belonging to a Markov equivalence class, a number of algorithms, such as ...
Tesla is making it easier than ever to go electric! Explore the killer 2025 Model Y lease offers for June, designed to put you in a premium EV with surprisingly low payments.
In this article, a hardware-assisted real-time simulation phase-domain (PD) model of a dual three-phase segmented powered linear permanent magnet synchronous machine (SP-LPMSM) used in electromagnetic ...
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