Güncel Gönderiler: Iskenderun Technical University Institutional Repository
Toplam kayıt 2478, listelenen: 1241-1260
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Personalized Advanced Time Blood Glucose Level Prediction
(Springer, 2021)The introduction of continuous glucose monitoring (CGM) devices for glucose level measurement accelerated the application of artificial intelligence methods in predicting advanced time blood glucose levels by providing ... -
Microwave absorption performance of hexagonal nano boron nitride doped basalt fabric-reinforced epoxy composites
(Emerald Group Publishing Ltd., 2021)Purpose: The purpose of this paper is to investigate the effect of doping element on the microwave absorption performance of hexagonal nano boron nitride (h-nBN)-reinforced basalt fabric (BF)/epoxy composites. A new type ... -
Testing traffic density of a heterogeneous stochastic queueing system using SPRT
(Taylor and Francis, 2021)We aim to determine the traffic density of the system as a control method in queuing systems and to keep it at the desired level. This article expands the sequential probability ratio test (SPRT) method in the heterogeneous ... -
PID sliding surface-based adaptive dynamic second-order fault-tolerant sliding mode control design and experimental application to an electromechanical system
(Taylor and Francis, 2021)In this paper, an adaptive dynamic PID sliding surface-based second-order fault-tolerant sliding mode controller for speed control of an electromechanical system is proposed. The paper aims to show how to utilise the robust ... -
Optimizing the Gain and Directivity of a Microstrip Antenna with Metamaterial Structures by Using Artificial Neural Network Approach
(Springer, 2021)The purpose of this study is to improve the gain and directivity of the microstrip patch antenna by means of metamaterial (MTM) structures. As it is known, antennas have power densities in a certain direction, and the ... -
Effect of the surface temperature of surface materials on thermal comfort: a case study of Iskenderun (Hatay, Turkey)
(Springer, 2021)As a result of urbanization that started with the industrial revolution, high temperatures caused by surface materials in built areas cause the formation of urban heat islands. This situation adversely affects the livability ... -
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 ... -
Gain Enhancement of a Traditional Horn Antenna using 3D Printed Square-Shaped Multi-layer Dielectric Lens for X-band Applications
(Applied Computational Electromagnetics Society Journal, 2021)In this work, gain of a traditional horn antenna is enhanced up to 2.9 dB over X-band using 3D printed square-shaped multi-layer lens. For this purpose, firstly the multi-layer lenses are designed using Invasive Weed ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
Bidirectional DC–DC converter based multilevel battery storage systems for electric vehicle and large-scale grid applications: A critical review considering different topologies, state-of-charge balancing and future trends
(John Wiley and Sons Inc, 2021)The expanding share of renewable energy sources (RESs) in power generation and rise of electric vehicles (EVs) in transportation industry have increased the significance of energy storage systems (ESSs). Battery is considered ... -
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 ... -
Transcriptomic analysis of nonylphenol effect on Saccharomyces cerevisiae
(PeerJ Inc., 2021)Nonylphenol (NP) is a bioaccumulative environmental estrogen that is widely used as a nonionic surfactant. We have previously examined short-term effects of NP on yeast cells using microarray technology. In the present ... -
A novel electrochemical lung cancer biomarker cytokeratin 19 fragment antigen 21-1 immunosensor based on Si3N4/MoS2incorporated MWCNTs and core-shell type magnetic nanoparticles
(Royal Society of Chemistry, 2021)Lung cancer is one of deadliest and most life threatening cancer types. Cytokeratin 19 fragment antigen 21-1 (CYFRA 21-1) is a significant biomarker for the diagnosis of non-small cell lung cancer (NSCLC). Due to these ... -
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 ... -
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 ...
