A comprehensive review of deep learning in colon cancer

I Pacal, D Karaboga, A Basturk, B Akay… - Computers in Biology …, 2020 - Elsevier
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …

A selective overview of deep learning

J Fan, C Ma, Y Zhong - Statistical science: a review journal of …, 2020 - pmc.ncbi.nlm.nih.gov
Deep learning has achieved tremendous success in recent years. In simple words, deep
learning uses the composition of many nonlinear functions to model the complex …

[PDF][PDF] A Surrogate Reduced Order Model of the Unsteady Advection Dominant Problems Based on Combination of Deep Autoencoders-LSTM and POD

M Kherad, MK Moayyedi, F Fotouhi - Advances in Applied …, 2024 - doc.global-sci.org
Model Order Reduction is an approximation of the main system so that the simplified system
retains important features of the main system. Deep learning technology is a recent …

Image Steganalysis using Deep Convolution Neural Networks: A Literature Survey

N Farooq, RN Mir - International Journal of Sensors, Wireless …, 2024 - benthamdirect.com
Steganography is the technique of hiding data for secret communication in a public media
format. The image in which the hidden data is stored is called a stego image. Steganalysis is …

Rotor Rubbing Fault Diagnosis Method Based on Deep Learning

Z Tao, Y Wu, Z Chong, J Li - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
During aero-engine production and design, optimizing engine performance frequently
involves minimizing the gap between dynamic and static rotors, thereby elevating the …

Pre-trained deep neural network using sparse autoencoders and scattering wavelet transform for musical genre recognition

M Kleć, D Korzinek - Computer Science, 2015 - infona.pl
Research described in this paper tries to combine the approach of Deep Neural Networks
(DNN) with the novel audio features extracted using the Scatter-Ing Wavelet Transform …