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Toplam kayıt 118, listelenen: 21-30
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 ...
Applying machine learning approach in recycling
(Springer, 2021)
Waste generation has been increasing drastically based on the world’s population and economic growth. This has significantly affected human health, natural life, and ecology. The utilization of limited natural resources, ...
Estimation of daily evapotranspiration in Kosice City (Slovakia) using several soft computing techniques
(Springer, 2021)
Accurate estimation of evapotranspiration is one of the main aspects of water management. In this study, the capabilities of soft computing techniques for estimating daily evapotranspiration in Košice (Slovakia) were ...
Compressive strength prediction models for cementitious composites with fly ash using machine learning techniques
(Elsevier, 2021)
In this study, it was proposed a novel prediction model to predict compressive strength of mortar samples having different properties. For this purpose, 8 different fly ashes were used in mortar mixture as a replacement ...
Meta-Heuristic Tuning of the LQR Weighting Matrices Using Various Objective Functions on an Experimental Flexible Arm Under the Effects of Disturbance
(Springer, 2021)
In this paper, meta-heuristic tuning of LQR weighting matrices using various objective functions on the experimental flexible arm under the effects of disturbance is investigated. The use of flexible and lightweight systems ...
Seismic metamaterials for low-frequency mechanical wave attenuation
(Springer, 2021)
In this study, a triangular array of cylindrical holes was shown to function as a local resonator to seismic metamaterials against the vibration generator loading in the geophysics concept. The field test showed that the ...
Radio-wave absorption by aluminum and its dependence on the absorption distance
(Springer, 2021)
The absorption of radio wave is relevant to electromagnetic interference (EMI) shielding and low observability. The effect of the absorption distance much above the calculated skin depth on the absorption of radio wave ...
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
(Wiley, 2021)
Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ...
Microporosity Changes With Acidizing Effect In Sandstones (kizildere Formation-hatay/s-turkey)
(Earth and Environmental Team, Romania, 2021)
This study aims to determine the field and petrographic properties of sandstones observed in Arsuz-İskenderun (Hatay) region and micro-size porosity changes in acidizing stages. The fine-grained sandstones of the Aktepe ...