Başlık için Araştırma Çıktıları | Web of Science listeleme
Toplam kayıt 1268, listelenen: 210-229
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Cryopreservation of Nile Tilapia (Oreochromis niloticus) Sperm
(Intech Europe, 2016)The main aim of this study is to determine the effect of the straw volume (0.25 vs. 0.5 mL) on Nile tilapia sperm quality after cryopreservation. Sperm was frozen according to conventional slow freezing procedure and diluted ... -
Cryoprotective Effect of Vitamin E Supplementation of Different Extenders on Quality and Fertilizing Ability of Frozen-Thawed Brown Trout Sperm
(Mary Ann Liebert Inc., 2021)Vitamin E is one of the most powerful antioxidants for prevention of cell damage resulting from cryopreservation, but its efficacy for cryopreserving brown trout sperm is still unclear. In this work, the protective effect ... -
Cu/Al levhaların sürtünme karıştırma kaynağında Taguchi metodu ile çekme mukavemeti ve sertlik için optimum kaynak parametrelerinin tahmini
(Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 2019)In this study, the effect of welding parameters on the performance characteristic in the friction stir welding of Cu/Al plates were experimentally investigated. Experiments were designed according to Taguchi L9 orthogonal ... -
Current Operational Amplifier Based Voltage-Mode MOS-C All-Pass Filter and Its Application
(Gazi Üniversitesi, 2020)In this work, a novel first order voltage-mode all-pass filter employing single active element named current operational amplifier (COA), two resistors, one capacitor and it's application as sinusoidal oscillator is ... -
Çimento esaslı malzemelerin çekme dayanımlarını bulabilmek için yeni bir yöntem önerisi: Üçgen plaka yöntemi
(Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 2015)Bu çalışmada, çimento esaslı malzemelerin çekme dayanımının belirlenmesi için iki eksenli gerilme altında ölçülen yeni bir metot önerilmiştir. Bu metotta çimento esaslı numuneler eşkenar üçgen plaka şeklinde hazırlanmaktadır. ... -
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 ... -
Dark conduction mechanisms of PTQBDT based heterojunction diode
(Institute of Physics, 2023)Al:LiF/PTQBT:PCBM/PEDOT:PSS/ITO/glass organic-based diode is fabricated with different weight ratios in PTQBT:PCBM active layer. The diodes D1, D2 and D3 are prepared using the precursor solution for spin coating process ... -
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 driven surrogate modeling of horn antennas for optimal determination of radiation pattern and size using deep learning
(Wiley, 2023)Horn antenna designs are favored in many applications where ultra-wide-band operation range alongside of a high-performance radiation pattern characteristics are requested. Scattering-parameter characteristics of antennas ... -
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 ...