Synthetic Aperture Radar (SAR) imagery plays a critical role in all-weather, day-and-night remote sensing applications. However, existing SAR-oriented deep learning is constrained by data scarcity, ...

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...

A bill before the General Assembly would require the state Department of Economic and Community Development to establish a concierge service for small businesses, borrowing from a model already in use ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

The CMU Deep Tech Venture-Ready program is a learning-focused experience centered on how deep-tech companies are formed and funded: how investors think about technical risk, what early milestones ...

York College is launching a new Lifelong Learning Program for adults 18 and older. The program will be led by a former manager from Penn State York's Osher Lifelong Learning Institute. Classes will be ...

Abstract: In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at various ...

Deep Learning (DL) has emerged as a transformative approach in artificial intelligence, demonstrating remarkable capabilities in solving complex problems once considered unattainable. Its ability to ...

The junior high Lady Longhorns are learning to play ball. They gathered for this picture after winning the Perkins County tournament Dec. 13 with wins over the hosts and Hershey. They followed that up ...

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...

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