Visualizing and quantifying DNA replication dynamics in living human cells remains challenging. Here, a new super-resolution ...
Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.
Abstract: This work proposes a neural network to extensively exploit spatial information for multichannel joint speech separation, denoising and dereverberation, named SpatialNet. In the short-time ...
Background: Four main chronic conditions may be involved in the tuberculosis pathogenic process and/or clinical evolution: HIV/AIDS, diabetes mellitus, mental illness, and Chronic Obstructive ...
A Data-Driven Approach for EV Electricity Demand Modeling Using Spatial Regression: A UAE Case Study
Abstract: The growing global interest in developing environment-friendly and sustainable transportation solutions is motivating mass adoption of Electric Vehicles (EVs). This increasing EV penetration ...
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