Browsing Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu by Title
Now showing items 188-207 of 1080
-
Daily reference evapotranspiration prediction based on climatic conditions applying different data mining techniques and empirical equations
(Springer Wien, 2020)Considering evapotranspiration takes a basic role in the hydrologic cycle, water resources management, and irrigation water requirements. Evapotranspiration estimation is not an easy case because of the number of direct ... -
Data clustering using leaders and followers optimization and differential evolution
(Elsevier, 2022)Data clustering is an important research topic in data mining. Although cluster analysis based on optimization algorithms has attracted great attention, optimization-based techniques face difficul-ties due to the non-linear ... -
Data-limited stock assessment of two horse mackerel species (Trachurus mediterraneus and T. trachurus) from the Mediterranean coast of Turkey
(Elsevier, 2021)A preliminary assessment of stock size and status of Trachurus mediterraneus and T. trachurus species were investigated via virtual population and yield prediction analyses using onboard collected length-frequency data ... -
A database for fatalities and damages due to the earthquakes in Turkey (1900-2014)
(Springer Netherlands, 2016)Considering the possibility of the reoccurrence of the earthquakes in which loss of life and property have accrued, the possibility of future losses can be minimized. In Turkey, although the information about the fatalities ... -
DC electric polarization of cured cement paste being unexpectedly hindered by free water
(Wiley, 2021)Electric polarization is basic to the dielectric behavior, which is pertinent to the science and applications of cement-based materials. This work reports the dynamics of the DC-current-induced electric polarization/depolarization ... -
Deep Convolutional Generalized Classifier Neural Network
(Springer, 2020)Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks ... -
Deep Learning for COPD Analysis Using Lung Sounds
(Baku State University, 2018)In this study, Hilbert-Huang Transform (HHT) was applied to the lung sounds from RespiratoryDatabase@TR and the statistical features were calculated from the different modulations of the HHT. The statistical features were ... -
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Institute of Electrical and Electronics Engineers Inc., 2020)Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ... -
Deep learning with 3D-second order difference plot on respiratory sounds
(Elsevier, 2018)The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ... -
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
(Springer, 2021)Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ... -
Deep neural network approach to estimation of power production for an organic Rankine cycle system
(Springer, 2020)In this study, the possibility of using Stepwise multilinear regression and deep learning models to estimate the behaviour of the organic Rankine cycle (ORC) has been investigated. It was found that a number of parameters ... -
Deep sea fisheries in Mersin Bay, Turkey, Eastern mediterranean: Diversity and abundance of shrimps and benthic fish fauna
(Bulgarian Academy of Sciences, 2018)This study was carried out by trawling at depths between 300-601 m in the Mersin Bay (Eastern Mediterranean) between May and June 2014. Seven shrimp species (Aristaeomorpha foliacea, Aristeus antennatus, Parapenaeus ... -
DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
(Elsevier, 2022)Macular edema (ME) is one of the most common retinal diseases that occur as a result of the detachment of the retinal layers on the macula. This study provides computer-aided identification of ME for even small pathologies ... -
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
(Nature Publishing Group, 2019)Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed ... -
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ... -
Defect assisted optical limiting performance of hexagonal boron nitride nanosheets in aqueous suspension and PMMA nanocomposite films
(Elsevier, 2021)Defect-assisted nonlinear absorption (NLA) and optical limiting (OL) performance of hexagonal boron nitride nanosheets (h-BNNS) in aqueous suspension and in polymethyl methacrylate matrix (PMMA) as nanocomposite films were ... -
Defining suitable areas for bioclimatic comfort for landscape planning and landscape management in Hatay, Turkey
(Springer Wien, 2020)This study is based on an area in Hatay, Turkey, and involves examining all weather and climate-related data that can be used to determine its suitability for the bioclimatic comfort. It attempts to explain bioclimatic ... -
The delayed mortality of discarded sea bream (Sparus aurata Linnaeus, 1758) in trawl simulation: an experimental appraisal
(Ege Universty Faculty of Fisheries, 2018)This study aims to bring to light behavioral impairment and the delayed mortality of discards below legal catch rate in a simulated trawl operation. Behavioral impairment of 126 fish in the aftermath of trawling operation ... -
Design and analysis of a high energy efficient multi-port dc-dc converter interface for fuel cell/battery electric vehicle-to-home (V2H) system
(Elsevier, 2022)In this study, a novel interface topology called T-type isolated multi-port converter (T-iMPC) is proposed for integrating multi electric vehicles (EVs) with energy-consuming homes in DC microgrid. The proposed converter ... -
Design and Analysis of Dual Level Boost Converter Based Transformerless Grid Connected PV System for Residential Applications
(Ieee, 2019)In this paper, a transformer-less grid-connected PV system using low voltage panels is designed and analyzed for residential applications. For this, dual-level dc-dc boost converter is used to obtain a higher voltage level ...
