As the solstice marks the shortest day of the year in the Northern Hemisphere, it also draws attention to something architecture has long negotiated but often overlooked: time. Beyond form or function ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

Store any user state in query parameters; imagine JSON in a browser URL, while keeping types and structure of data, e.g.numbers will be decoded as numbers not strings. With TS validation. Shared state ...

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When 3D-printed architecture first materialized, many assumed that it would lead to widespread affordable housing, but, excepting some housing for homeless people, this hasn't been the case in the USA ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...

1 School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China 2 School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China ...

Abstract: In the past few, the Convolutional Neural Network has been ruling the domain of image processing. Medical Imaging plays a critical role in the clinical diagnosis and treatment planning. This ...