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Case Study: Deep Convolutional Networks in Healthcare
(Springer Verlag, 2020)
Technological improvements lead big data producing, processing and storing systems. These systems must contain extraordinary capabilities to overcome complexity of the big data. Therefore, the methodologies utilized for ...
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
(Springer, 2021)
Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ...
The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Springer, 2021)
Today, with the rapid development of technology, various methods are being developed for computer assisted diagnostic systems. Computer assisted diagnostic systems allow an objective assessment and help physicians to ...
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
(Oxford University Press, 2022)
This study presents foreseeing of the Lithium-ion battery discharge models for the Internet of Things (IoT) devices under randomized use patterns. IoT systems run in harmony with the human-machine interface, communication ...
Adaptive second order sliding mode guidance law for missile-target interception with fuzzy logic system
(SAGE Publications, 2023)
This paper presents the design of a 3D missile guidance law based on a second order sliding mode control technique employing an adaptive tuning law and a fuzzy gain scheduling. At the outset, the super-twisting sliding ...