In this paper, a novel fusion method on the multimodal medical images exploiting convolutional neural network (CNN) and extreme learning machine (ELM) is proposed. As a typical representative in deep ...

Processed features are then passed to the output processing block, which contains a flatten layer and a fully connected dense layer. CNN, convolutional neural network. Our dual-stream CNN-based deep ...

config_frequentist.py: Hyperparameters for main_frequentist file. @article{shridhar2019comprehensive, title={A comprehensive guide to bayesian convolutional neural network with variational inference}, ...

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

Nvidia's DLSS 4 Ray Reconstruction tackles the issue of image noise with ray tracing. By improving stability and texture preservation, it minimizes the visual trade-offs and ...

AI-created computer chips could revolutionize how our computers run, but scientists say they're so complex we can't ...

Power electronics systems have evolved from using analog controllers with minimal flexibility to real-time MCUs with AI ...

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

The future of CNN looks grim as experts say the liberal network is 'in decline' after staffers faced pay cuts and a round of layoffs. Jeff McCall, a communications professor at Indiana's Depauw ...

While enterprise AI adoption obviously comes with challenges, NVIDIA is taking an end-to-end full stack approach to ...

The financial arrangement raises concerns about the network’s ability to report freely on the Gulf state and the region A newly announced agreement incentivizing CNN to operate in Qatar is raising ...