Scientific Research Publishing

Saad, O.M. and Chen, Y. (2020) Deep Denoising Autoencoder for Seismic Random Noise Attenuation. Geophysics, 85, V367-V376.

ABSTRACT: With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial ...
Scientific Research Publishing

Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Tang, J., et al. (2016) Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
National Bureau of Economic Research

Deep Learning for Solving Economic Models

The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...
C&EN

Explainable Deep Learning Framework for SERS Bioquantification

Melville Laboratory for Polymer Synthesis, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K. Melville Laboratory for Polymer Synthesis, Yusuf Hamied ...
IEEE

Sparse Autoencoder-Driven Key Generation for Enhanced IoT Security

Abstract: Physical-layer secret key generation (PSKG) is a well-known and effective method for boosting wireless security in the Internet of Things (IoT). This technique creates cryptographic keys ...
GitHub

List of Denoising Algorithms

CNN-Based Models DnCNN Gaussian Noise Denoising Denoising Convolutional Neural Network with residual learning, predicts noise residual instead of clean image, effective for Gaussian noise. DnCNN ...