DeepSeek-OCR: Images Simplify Text for Large Language Models

DeepSeek is experimenting with an OCR model and shows that compressed images are more memory-friendly for calculations on ...

DeePFAS: AI tool advances 'forever chemical' detection

DeePFAS, a novel deep-learning model, streamlines large-scale non-targeted screening of "forever chemicals" (PFAS) by ...
Frontiers

Oral Squamous Cell Carcinoma Grading Classification Using Deep Transformer Encoder Assisted Dilated Convolutional With Global Attention

The final, formatted version of the article will be published soon. In recent years, Oral Squamous Cell Carcinoma (OSCC) has been a common tumor in the orofacial region, affecting areas such as the ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
C&EN

DeepAIPs-SFLA: Deep Convolutional Model for Prediction of Anti-Inflammatory Peptides Using Binary Pattern Decomposition of Novel Multiview Descriptors with an SFLA Approach

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China ...
GitHub

Pull requests: esosajohnson/Convolutional_Encoder

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
GitHub

Releases: 202301107/Simulation-of-Convolutional-Encoders-with-Viterbi-Decoding-over-AWGN-Channels

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
Scientific Research Publishing

Du, B., Xiong, W., Wu, J., Zhang, L., Zhang, L. and Tao, D. (2017) Stacked Convolutional Denoising Auto-Encoders for Feature Representation. IEEE Transactions on Cybernetics ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...