Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
Ensemble learning aims to improve prediction performance by combining several models or
forecasts. However, how much and which ensemble learning techniques are useful in deep …
forecasts. However, how much and which ensemble learning techniques are useful in deep …
Transfer learning for binary classification of thermal images
D Pérez-Aguilar, R Risco-Ramos… - … . Revista de Ciencia …, 2021 - scielo.senescyt.gob.ec
Transfer learning en la clasificación binaria de imágenes térmica Page 1 Artículo Científico /
Scientific Paper https://doi.org/10.17163/ings.n26.2021.07 pISSN: 1390-650X / eISSN: 1390-860X …
Scientific Paper https://doi.org/10.17163/ings.n26.2021.07 pISSN: 1390-650X / eISSN: 1390-860X …
Inception architecture for brain image classification
R Tamilarasi, S Gopinathan - Journal of Physics: Conference …, 2021 - iopscience.iop.org
A non-invasive diagnostic support system for brain cancer diagnosis is presented in this
study. Recently, very deeper convolution neural networks are designed for computerized …
study. Recently, very deeper convolution neural networks are designed for computerized …
Efficient security algorithm for provisioning constrained internet of things (iot) devices
J Mamvong - 2023 - qmro.qmul.ac.uk
Addressing the security concerns of constrained Internet of Things (IoT) devices, such as
client-side encryption and secure provisioning remains a work in progress. IoT devices …
client-side encryption and secure provisioning remains a work in progress. IoT devices …
Remote Sensing Image Scene Classification along the High-speed Railway based on Convolutional Neural Network
X Gong, X Ju, K Qian, T Lu, Z Chen - Journal of Physics …, 2020 - iopscience.iop.org
China's high-speed railway operation network is huge, and the environment along the line is
complex. Therefore, there are many security risks. For that reason, real-time dynamic …
complex. Therefore, there are many security risks. For that reason, real-time dynamic …