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Hydrodynamic Characterization of Mugla Karst Aquifer Using Correlation and Spectral Analyses on the Rainfall and Springs Water-Level Time Series

Sagir, Cagdas; Kurtulus, Bedri; Razack, Moumtaz (Mdpi, 2020)

Karst aquifers have been an important research topic for hydrologists for years. Due to their high storage capacity, karst aquifers are an important source of water for the environment. On the other hand, it is safety-critical ...

Imaging findings and classification of the common and uncommon male breast diseases

Onder, Omer; Azizova, Aynur; Durhan, Gamze; Elibol, Funda Dinc; Akpinar, Meltem Gulsun; Demirkazik, Figen (Springeropen, 2020)

Male breast hosts various pathological conditions just like "female breast." However, histo-anatomical diversities with female breast lead to many differences regarding the frequency and presentation of diseases, the ...

Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image

Ali, Aqib; Qadri, Salman; Mashwani, Wali Khan; Kumam, Wiyada; Kumam, Poom; Naeem, Samreen; Sulaiman, Muhammad (Mdpi, 2020)

The object of this study was to demonstrate the ability of machine learning (ML) methods for the segmentation and classification of diabetic retinopathy (DR). Two-dimensional (2D) retinal fundus (RF) images were used. The ...

Performance evaluation of artificial neural networks for identification of failure modes in composite plates

Ballı, Serkan; Şen, Faruk (Walter de Gruyter GmbH, 2021)

The aim of this work is to identify failure modes of double pinned sandwich composite plates by using artificial neural networks learning algorithms and then analyze their accuracies for identification. Mechanically pinned ...