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Toplam kayıt 26, listelenen: 21-26
A survey of machine learning-based methods for COVID-19 medical image analysis
(Springer Science and Business Media Deutschland GmbH, 2023)
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in 6.6 million deaths with more than 637 million people infected after only 30 months since the first occurrences of the disease in December ...
rs-fMRI analysis using spatio-temporal sparse convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral and communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is ...
A comparative study of different pre-trained deeplearning models and custom CNN for pancreatic tumor detection
(Zarka Private University, 2023)
Artificial Intelligence and its sub-branches like MachineLearning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging is briefly making ...
Exploring deep learning for adaptive energy detection threshold determination: A multistage approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The concept of spectrum sensing has emerged as a fundamental solution to address the growing demand for accessing the limited resources of wireless communications networks. This paper introduces a straightforward yet ...
Cyber-WISE: A cyber-physical deep wireless indoor positioning system and digital twin approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
In recent decades, there have been significant research efforts focusing on wireless indoor localization systems, with fingerprinting techniques based on received signal strength leading the way. The majority of the suggested ...
Iterative kernel reconstruction for deep learning-based blind image super-resolution
(IEEE Computer Society, 2022)
Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ...