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Toplam kayıt 176, listelenen: 21-30
A New Class of Higher-Order Hypergeometric Bernoulli Polynomials Associated with Lagrange-Hermite Polynomials
(MDPI, 2021)
The purpose of this paper is to construct a unified generating function involving the families of the higher-order hypergeometric Bernoulli polynomials and Lagrange-Hermite polynomials. Using the generating function and ...
Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain
(Copernicus Publications, 2021)
To allow for climate impact studies on human and natural systems, high-resolution climate information is needed. Over some parts of the world plenty of regional climate simulations have been carried out, while in other ...
Carbon footprint forecasting using time series data mining methods: the case of Turkey
(Springer, 2021)
In the globalizing world, many factors such as rapidly increasing population, production and consumption habits, and economic growth cause climate changes. The carbon footprint is a measure of CO2 emissions released into ...
Characteristics, high temperature wear and oxidation behavior of boride layer grown on nimonic 80A Ni-based superalloy
(Elsevier, 2021)
Nickel-based superalloy Nimonic 80A was pack-borided in a solid medium at temperatures of 850 degrees C and 950 degrees C for 2 h and 4 h using silicon-free boriding powders. To investigate the effects of the boriding ...
Modulation of Charge Transport at Grain Boundaries in SrTiO3: Toward a High Thermoelectric Power Factor at Room Temperature
(American Chemical Society, 2021)
Modulation of the grain boundary properties in thermoelectric materials that have thermally activated electrical conductivity is crucial in order to achieve high performance at low temperatures. In this work, we show ...
Transfer learning to detect neonatal seizure from electroencephalography signals
(Springer, 2021)
This paper offers a solution to the problem of detecting neonatal seizures via a transfer learning technique that judiciously reconstructs pre-trained deep convolution neural networks (p-DCNN), including alexnet, resnet18, ...
Fluorene/fluorenone carboxamide derivatives as selective light-up fluorophores for c-myc G-quadruplex
(Elsevier, 2021)
The development of fluorescent dyes capable of selective recognition of G-quadruplexes is essential for studying its localization and biological functions. However, considering the G-quadruplex topologies may vary ...
A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects
(Elsevier, 2021)
The implementations of fuel cells (FCs) in the vehicle industry have gained great attention for the last few decades owing to simple utilization, silent operation, high efficiency and modular structure. Technological ...
An explanatory approach to assess resilience: An evaluation of competitive priorities for logistics organizations
(Elsevier, 2021)
The aim of this study is to analyze social media messages, specifically tweets from logistics organizations and retweets of their customers regarding competitive priorities that create a sustainable competitive advantage ...
Plant leaf disease classification using EfficientNet deep learning model
(Elsevier, 2021)
Most plant diseases show visible symptoms, and the technique which is accepted today is that an experienced plant pathologist diagnoses the disease through optical observation of infected plant leaves. The fact that the ...