Browsing Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi by Title
Now showing items 248-267 of 402
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Microfacies and Depositional Environment of the Ilerdian Carbonates in the North-Western Tosya (SE Kastamonu) Region, Northern Turkey
(SPRINGER INDIA, 2019)Ilerdian (early Eocene) carbonates in the northwestern Tosya region, northern Turkey, are characterized by porcellaneous larger benthic foraminifera; Glomalveolina, Alveolina, Orbitolites, Opertorbitolites and Cyclopertorbitolites ... -
Modal identification and fatigue behavior of Eynel steel arch highway bridge with calibrated models
(2021)In this paper, modal parameters of the Eynel steel arch highway bridge are identified and the fatigue behavior of the bridge is investigated. Modal parameters were extracted from three ambient vibration tests carried out ... -
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(Science Direct, 2021)In this study, 4 common machine learning methods have been used to model the I–V characteristic of the Au/Ni/n-GaN/undoped GaN Schottky diode. The current values of previously produced Au/Ni/n-GaN/undoped GaN Schottky diode ... -
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(18 Ekim 20)In this study, 4 common machine learning methods have been used to model the I–V characteristic of the Au/Ni/n-GaN/undoped GaN Schottky diode. The current values of previously produced Au/Ni/n-GaN/undoped GaN Schottky diode ... -
Modeling of temperature‑dependent photoluminescence of GaN epilayer by artificial neural network
(22.06.2023)Artificial neural networks (ANNs) are a type of machine learning model that are designed to mimic the structure and function of biological neurons. They are particularly well-suited for tasks such as image and speech ... -
Modeling of temperature‑dependent photoluminescence of GaN epilayer by artificial neural network
(22.06.2023)Artificial neural networks (ANNs) are a type of machine learning model that are designed to mimic the structure and function of biological neurons. They are particularly well-suited for tasks such as image and speech ... -
Modification of Pore and Surface Characteristics of Biochar Produced from Raw Tea Waste
(21.05.2021)The main objective of this study is to determine the effectiveness of various activation methods on the characteristics on biochar characteristics. The feedstock for producing biochar was used raw tea waste (RTW) that ... -
Molecularly Designed Ion-Imprinted Nanoparticles for Real-Time Sensing of Cu(II) Ions Using Quartz Crystal Microbalance
(MDPI, 5 Kasım 20)A molecularly designed imprinting method was combined with a gravimetric nanosensor for the real-time detection Cu(II) ions in aqueous solutions without using expensive laboratory devices. Thus, 1:1 and 2:1 mol-ratio-dependent ... -
Molecularly imprinted composite discs for transferrin recognition
(Taylor and Francis, 2022)Human Transferrin (HTr) imprinted composite cryogel (HTr-MIPCC) discs were synthesized with distinctive structure and increased adsorption capacity and specificity for HTr by combining the advantages of the surface ... -
More evidence of tropical conditions in the Middle Eocene Climatic Optimum (MECO) with new fossil woods from North-Central Türkiye
(Tübitak, 17.11.2023)Fossil wood descriptions are among the most important indicators in understanding forest structures across geological ages. This study was carried out to obtain new findings about the Middle Eocene Climate Optimum (MECO) ... -
N-doped reduced graphene oxide/MnO2/co-doped polyaniline ternary nanocomposites for electrochemical energy storage applications
(2023)The development and design of electrode materials with high electrochemical performance is of great importance for developing of supercapacitors, which are accepted as reliable power sources for portable and electric vehicles. ... -
Nanoengineering and nanoscience:current and emerging trends
(Walter de Gruyter GmbH & Co KG, 2023)The study of science at the nanoscale has become one of the most important research topics in recent years. Almost all branches of science are interested in nanotechnology. Metal and metal oxides, carbon family products, ... -
Nanoparticles with PDT and PTT synergistic properties working with dual NIR-light source simultaneously
(2021)A non-toxic nano system using a cleverly designed dual light can be an important treatment strategy in cancer therapy. Here, we propose a unique concept of synergistic non-toxic nanoplatform, which operates with dual ... -
Neural network estimations of annealed and non-annealed Schottky diode characteristics at wide temperatures range
(15/06/2022)n this study, Artificial Neural Network (ANN) model has been proposed to characterize the annealed and the non-annealed Schottky diode from experimental data. The experimental current values of Ni/n-type 6H–SiC Schottky ... -
Neuro-fuzzy modeling of deformation parameters for fusion-barriers
(Science Direct, 2021)The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction ... -
New Developer Metrics for Open Source Software Development Challenges: An Empirical Study of Project Recommendation Systems
(MDPI, 20.01.2021)Software collaboration platforms where millions of developers from diverse locations can contribute to the common open source projects have recently become popular. On these platforms, various information is obtained from ... -
Next-Generation Application-Based Artificial Intelligence in Modeling and Estimation for Ni/n-GaAs/In Schottky Barrier Diode
(Wiley - V C H Verlag GmbbH & Co., 14.01.2023)Herein, for Ni/n-GaAs/In Schottky barrier diode, experimental measurement, modeling, data generation from the model, and parameter estimation processes are simultaneously carried out. In the experimental step, Ni/n-GaAs/In ... -
Nitrogen-doped graphene quantum dots/co-doped PANI binary nanocomposites as high-performance supercapacitor electrode materials
(2023)In this paper, a suitable and high-performance electrode material for practical applications was developed using a simple two-step approach. Here, we report that nitrogen-doped graphene quantum dots with co-doped ... -
Non-destructive above ground biomass estimation of individual tree species using airborne LiDAR data for combating global warming
(15.07.2022)Biomass is a globally utilised strategy to reduce the effects of global warming. The amount of carbon from biomass requires comprehensive knowledge of which tree species absorb carbon best. The airborne light detection and ... -
Nonlinear optical properties in AlxGa1-xAs/GaAs double-graded quantum wells: The effect of the structure parameter, static electric, and magnetic field
(Elsevier, 2022)We present a theoretical simulation of the impact of applied external electric and magnetic fields, as well as of the change in structure parameters, on the nonlinear optical rectification (NOR), second harmonic ...