Robust skin disease classification by distilling deep neural network ensemble for the mobile diagnosis of herpes zoster

S Back, S Lee, S Shin, Y Yu, T Yuk, S Jong… - IEEE …, 2021 - ieeexplore.ieee.org
Herpes zoster (HZ) is a common cutaneous disease affecting one out of five people; hence,
early diagnosis of HZ is crucial as it can progress to chronic pain syndrome if antiviral …

Predicting Gross Domestic Product (GDP) using a PC-LSTM-RNN model in urban profiling areas

MY Shams, Z Tarek, ESM El-kenawy, MM Eid… - Computational Urban …, 2024 - Springer
Abstract Gross Domestic Product (GDP) is significant for measuring the strength of national
and global economies in urban profiling areas. GDP is significant because it provides …

Hand foot and mouth rash detection using deep convolution neural network

N Vakili, JH Chan, W Krathu, N Phattarakijtham… - Authorea …, 2023 - techrxiv.org
This work was presented at the 9th Joint Symposium on Computational Intelligence (JSCI9),
organized by the IEEE-CIS Thailand Chapter, that aims to support research students and …

HFMD skin rash detection using convolutional neural networks

N Vakili, N Phattarakijtham, JH Chan… - … Conference on Computing …, 2021 - Springer
Skin rash problems are common and often temporary if they can be treated in time. Hand-
Foot-Mouth disease (HFMD) is an extremely contagious viral infection common in infants …

[PDF][PDF] Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster

Y YU, T YUK, S JONG, S RYU - scholar.archive.org
Herpes zoster (HZ) is a common cutaneous disease affecting one out of five people; hence,
early diagnosis of HZ is crucial as it can progress to chronic pain syndrome if antiviral …

[PDF][PDF] Understanding Generalization in Neural Networks for Robustness against Adversarial Attacks

汎化性能の理解 - 2020 - repository.dl.itc.u-tokyo.ac.jp
Due to the availability of large amounts of data and strong computational power, Deep
Neural Networks (DNNs) are poised to capture large segments of the commercial markets …