Users shared the claim in April 2026 following a months-long CNN investigation into the dark online world of drugging and ...
Abstract: Accurate power load forecasting is a cornerstone for the reliable operation and economic dispatch of modern power grids, particularly as the integration of Variable Renewable Energy ...
Abstract: Deep learning-based image classification models have been widely applied in the Industrial Internet of Things (IIoT), but studies have shown that adversarial attacks can cause ...
Abstract: Accurate breast tumor diagnosis using MRI is essential for effective treatment planning. While traditional methods rely on radiologists’ expertise, the adoption of AI is often limited by ...
Abstract: In the current digital age, scene recognition technology is increasingly applied in the Internet of Things (IoT) ecosystem, including transportation, smart homes, elderly care, and terrain ...
Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.
Abstract: As a typical blue carbon ecosystem, mangroves play a vital role in the global carbon cycle and coastal ecological security. Accurately estimating their aboveground biomass (AGB) is crucial ...
This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...
Abstract: The planetary boundary layer (PBL) height (PBLH), as a critical meteorological parameter, plays a pivotal role in atmospheric dynamics, climate, and pollution diffusion studies. A radar wind ...
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