Başlık için Fakülteler listeleme
Toplam kayıt 1804, listelenen: 312-331
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D-S evidence based FMECA approach to assess potential risks in ballast water system (BWS) on-board tanker ship
(Elsevier, 2022)Ballast water is essential for cargo ships since it stabilizes vessels at sea. Most ships are equipped with a ballast water system (BWS) to maintain safe operating conditions. This paper attempts to perform a risk assessment ... -
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 ... -
Darbeli Laser-Malzeme Etkileşimi Sırasında Malzemedeki Sıcaklık Dağılımının Yarı Kinetik Teori ile Analizi
(Erzincan Üniversitesi Fen Bilimleri Enstitüsü, 2019)Günümüzde teknolojinin gelişimi ile imalat sanayisinde laserin kullanımı, düşük maliyet ve yüksek hassasiyetten dolayı önem kazanmaktadır. Laser-metal etkileşimi sırasında malzemeye olan ısı transferi ve sıcaklık dağılımı ... -
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 ... -
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
(Springer, 2021)Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ... -
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 Learning-based Mammogram Classification for Breast Cancer
(International Journal of Intelligent Systems and Applications in Engineering, 2020)Deep Learning (DL) is a rising field of researches in last decade by exposing a hybrid analysis procedure including advanced level image processing and many efficient supervised classifiers. Robustness of the DL algorithms ...
