Başlık için Araştırma Çıktıları | Web of Science listeleme
Toplam kayıt 1268, listelenen: 219-238
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Data-driven modeling of band-pass filter for sub-5G applications
(Wiley, 2023)Radiofrequency noise is one of the challenging problems in the design of high-performance wireless communication systems, for which microstrip band-pass filters are one of the most commonly used design solutions for this ... -
Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
(MDPI, 2023)In this work, a computationally efficient method based on data-driven surrogate models is proposed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna ... -
Data-driven-based fuzzy control system design for a hybrid electric vehicle
(Springer, 2023)A well-designed energy management system plays a crucial role in increasing fuel efficiency and reducing polluting emissions in dual-power hybrid electric vehicles (HEVs), which are an intermediate stage in the transition ... -
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 ... -
Decision making in the manufacturing environment using the technique of precise order preference
(Yildiz Technical University, 2023)Wrong decisions in manufacturing systems can jeopardize the continuity of production and reduce productivity and efficiency. Therefore, it is essential to make the right decisions in solving the problems encountered in ... -
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 neural network model with Bayesian optimization for tuberculosis detection from X-Ray images
(Springer, 2023)Tuberculosis is a chronic lung disease caused by bacterial infection, and more than 10 million people get this disease every year, especially in developing countries. Early diagnosis of tuberculosis is important for effective ... -
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 ... -
Deep-learning-based precise characterization of microwave transistors using fully-automated regression surrogates
(Nature Research, 2023)Accurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging ... -
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 ...
