Yayıncı "ELSEVIER" Mühendislik Fakültesi için listeleme
Toplam kayıt 70, listelenen: 1-20
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Advanced tunability of optical properties of CdS/ZnSe/ZnTe/CdSe multi-shell quantum dot by the band edge engineering
(ELSEVIER, 2022)In this study, the advanced manipulability of wave functions in a type-II multi-shell hetero-nanostructure (MS-HNS) and the tunability of radiative exciton lifetime over a wide range with and/or without changing in transition ... -
AI-based fog and edge computing: A systematic review, taxonomy and future directions
(ELSEVIER, 2023)Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of ... -
Amorphous BC5 from first principles calculations
(ELSEVIER, 2022)A boron-substituted amorphous graphite (BC5) network is generated using a first principles molecular dynamics simulation and its atomic structure and electrical and mechanical properties are discussed in details. The ... -
Amorphous carbon nitride (C3N4)
(ELSEVIER, 2024)This detailed investigation employs an ab initio approach to explore the atomic structure and electronic properties of an amorphous carbon nitride (C3N4) model. The model, designed with an exact 3:4 ratio, is based on ... -
Artificial neural networks based harmonics estimation for real university microgrids using hourly solar irradiation and temperature data
(ELSEVIER, 2023)The need for renewable energy is increasing day by day due to different factors such as increasing energy demand, environmental considerations as well as the will to decrease the share of fossil fuel-based generation. ... -
Atomic structure of amorphous CdO from first principles simulations
(ELSEVIER, 2015)Amorphous CdO (a-CdO) is obtained by cooling the liquid at a sufficiently fast cooling rate using first-principles simulations. The topology of the amorphous model is examined using a variety of analyzing techniques. The ... -
Big datasets of optical-wireless cyber-physical systems for optimizing manufacturing services in the internet of things-enabled industry 4.0
(ELSEVIER, 2022)The Industry 4.0 revolution is aimed to optimize the prod- uct design according to the customers’ demand, quality re- quirements and economic feasibility. Industry 4.0 employs advanced two-way communication technologies ... -
Boron-rich amorphous boron oxides from ab initio simulations
(ELSEVIER, 2023)Amorphous boron oxide (BxO1-x, 0.5 ≤ x ≤ 95) configurations are simulated by means of an ab initio molecular dynamics technique and their microstructure and mechanical properties are revealed in details. With increasing B ... -
Characterization of genomic, physiological, and probiotic features Lactiplantibacillus plantarum DY46 strain isolated from traditional lactic acid fermented shalgam beverage
(ELSEVIER, 2022)Lactiplantibacillus plantarum is a significant probiotic where it could be found in ubiquitous niches. In this study, a new Lb. plantarum strain DY46 was isolated from a traditional lactic-acid-fermented beverage called ... -
Cloud Computing for Smart Grid applications
(ELSEVIER, 2014)A reliable and efficient communications system is required for the robust, affordable and secure supply of power through Smart Grids (SG). Computational requirements for Smart Grid applications can be met by utilizing the ... -
A combined application of two soft computing algorithms for weathering degree quantification of andesitic rocks
(ELSEVIER, 2022)Understanding the variations in physical and mechanical behavior of rock materials due to progressive weathering is vital to carry on time and cost-effective engineering projects. Up to date, soft computing algorithms ... -
Comparison of QoS-aware single-path vs. multi-path routing protocols for image transmission in wireless multimedia sensor networks
(ELSEVIER, 2014)Wireless multimedia sensor network (WMSN) applications require strong multimedia communication competence. Therefore, in WMSN applications, it is necessary to use specific mechanisms in order to handle multimedia communication ... -
Comprehensive analysis of experimental and numerical results of bond strength and mechanical properties of fly ash based GPC and OPC concrete
(ELSEVIER, 2024)Nowadays, materials in the more environmentally friendly waste product class, which can be an alternative to standard Portland cement (OPC), are frequently used by researchers in concrete production. One of these, namely fly ... -
Comprehensive experimental analysis of the effects of elevated temperatures in geopolymer concretes with variable alkali activator ratios
(ELSEVIER, 2023)By growing population and rapid urbanization, demand for concrete increases exponentially. Researches on use of fly ash material in waste product class for concrete production are important to produce concrete more ... -
A comprehensive experimental and modeling study of the strain rate- and temperature-dependent deformation behavior of bio-degradable Mg-CeO2 nanocomposites
(ELSEVIER, 2024)A comprehensive study was undertaken on the temperature-dependent and strain rate-sensitive deformation behavior of near-dense low-volume fraction magnesium-cerium dioxide (Mg-CeO2 ) nanocomposites synthesized by powder ... -
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
(ELSEVIER, 2023)COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest X-ray ... -
Data-driven discovery and DFT modeling of Fe4H on the atomistic level
(ELSEVIER, 2024)Since their discovery, iron and hydrogen have been two of the most interesting elements in scientific research, with a variety of known and postulated compounds and applications. Of special interest in materials engineering ... -
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic management, increase human comfort, and enable future development of transport infrastructures. This paper presents ... -
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
(ELSEVIER, 2023)The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been developed for vehicle type ... -
A detailed investigation of the electronic properties of a multi-layer spherical quantum dot with a parabolic confinement
(ELSEVIER, 2012)In this work, we aim a detailed investigation of the electronic properties of a spherical multi-layer quantum dot with and without a hydrogenic impurity. The structure is introduced in the form of core/ shell/well/shell ...