Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In childcare, the responsibility of preparing staff to meet high standards is enormous. From ...

Ethan Winn is a Cherokee Nation citizen and grew up attending the tribe’s immersion school. He recalled not seeing any mainstream movies or shows in the Cherokee language — tools, he said, could have ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...

I decided to tackle a viewer’s question about cleaning stained table mats, even though I’m not a fan of coffee spills myself! In this video, I walk you through my step-by-step cleaning routine, from ...

After training on pathologists’ slide-reviewing data, the PEAN model is capable of performing a multiclassification task and imitating the pathologists’ slide-reviewing behaviors (see Panel a). The ...

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...

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 ...

As the summer rolls in, so does the heat. But when you go to pull out your fans from storage, you may find them covered in last year's dust. The good news is that how to clean a fan is not as hard as ...

The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience as flavor and smell. But it’s notoriously difficult to predict the ...