Güncel Gönderiler: Mühendislik Fakültesi
Toplam kayıt 1323, listelenen: 181-200
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Development of high-performance nanostructured aluminum and its constitutive modeling
(Taylor and Francis Ltd., 2023)A new technique, an in-situ hot-extrusion-based synthesizing process, is proposed to develop high-performance nanocrystalline aluminum (nc-Al) with an optimally tuned strength-to-ductility ratio suitable for various ... -
Symmetric Electret-Based Vibration Energy Harvesters with Curved-Beam Hinges
(Institute of Electrical and Electronics Engineers Inc., 2023)Broadband power spectral characteristics are desirable in vibration energy harvesters, and it can be achieved by employing curved-beam hinges, which exhibit forcedisplacement nonlinearity. Via numerical analysis by ... -
A new approaching method for linear neutral delay differential equations by using Clique polynomials
(TUBİTAK, 2023)This article presents an efficient method for obtaining approximations for the solutions of linear neutral delay differential equations. This numerical matrix method, based on collocation points, begins by approximating ... -
Population Specific Classification of Colorectal Cancer with Meta-Analysis of Metagenomic Data
(Institute of Electrical and Electronics Engineers Inc., 2023)Yeni nesil dizilemedeki ve "-omik" teknolojilerdeki gelişmeler, insan bağırsak mikrobiyomunu karakterize etmeyi mümkün kılmaktadır. Bu mikroorganizmaların bazıları bağışıklık sistemimizin temel düzenleyicileriyken, ... -
Effect of Recursive Cluster Elimination with Different Clustering Algorithms Applied to Gene Expression Data
(Institute of Electrical and Electronics Engineers Inc., 2023)Feature selection (FS) is an effective tool in dealing with high dimensionality and reducing computational cost. Support Vector Machines – Recursive Cluster Elimination (SVM-RCE) is one of several algorithms that have ... -
The Effect of Different Classifiers on Recursive Cluster Elimination in the Analysis of Transcriptomic Data
(Institute of Electrical and Electronics Engineers Inc., 2023)Gene expression data with limited sample size and a large number of genes are frequently encountered in genetic studies. In such high-dimensional data, identification of genes that distinguish between disease states is ... -
Tattoo-Like Multi-Color Physically Unclonable Functions
(WILEY, 2023)Advanced anti-counterfeiting and authentication approaches are in urgent need of the rapidly digitizing society. Physically unclonable functions (PUFs) attract significant attention as a new-generation security primitive. ... -
A toolbox of machine learning software to support microbiome analysis
(Frontiers Media SA, 2023)The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and ... -
Security through Digital Twin-Based Intrusion Detection: A SWaT Dataset Analysis
(Institute of Electrical and Electronics Engineers Inc., 2023)Digital twin, as a virtual replica of physical entity, offer valuable insights into Industrial Control System (ICS) behavior and characteristics. Leveraging the convergence of digital twins and cybersecurity, this ... -
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
(Institute of Electrical and Electronics Engineers Inc., 2023)High throughput -omics technologies facilitate the investigation of regulatory mechanisms of complex diseases. Along this line, scientists develop promising tools and methods to extend our understanding at the molecular ... -
Man-hour Prediction for Complex Industrial Products
(Institute of Electrical and Electronics Engineers Inc., 2023)Accurately predicting the cost is crucial for the success of complex industrial projects. There can be several sources contributing to the cost. Traditional methods for cost estimation may not provide the required ... -
Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications
(Institute of Electrical and Electronics Engineers Inc., 2023)The incorporation of mmWave technology in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles, enhancing interconnectedness, and facilitating communication for ... -
An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms
(SPRINGER, 2023)Among text-mining studies, one of the most studied topics is the text classifcation task applied in various domains, including medicine, social media, and academia. As a sub-problem in text classifcation, sentiment ... -
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
(Frontiers Media S.A., 2023)During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ... -
A Semi-Analytic Method for Solving Singularly Perturbed Twin-Layer Problems with a Turning Point
(Vilnius Gediminas Technical University, 2023)This computational study investigates a class of singularly perturbed second-order boundary-value problems having dual (twin) boundary layers and simple turning points. It is well-known that the classical discretization ... -
A holistic sustainability assessment of a university campus using life cycle approach
(Institute for Ionics, 2023)The sustainability performances of campuses are of importance as it could model the efective sustainable initiatives that could be then applied to campuses by decision-makers and designers. Studies have been conducted on ... -
Recovery of Lithium from Spent Coin-Type Lithium Manganese Dioxide CR Cells by Acidic Leaching in the Presence of Potassium Permanganate as Oxidant
(SPRINGER LINK, 2023)The selective leaching of lithium from spent coin-type lithium manganese dioxide CR cells by oxidative leaching and precipitation of Li2CO3 from Libearing leach solution has been experimentally and theoretically investigated. ... -
Debris flow modelling and hazard assessment for a glacier area: a case study in Barsem, Tajikistan
(SPRINGER, 2023)This study analyses a previous debris fow hazard as a consequence of emerging risks related to climate and regional physical changes. In addition to the increasing food frequencies, there is an increasing risk of mud or ... -
A model-free continuous integral sliding mode controller for robust control of robotic manipulators
(Intelektual Pustaka Media Utama, 2023)This paper proposes a model-free continuous integral sliding mode controller for robust control of robotic manipulators. The highly nonlinear dynamics of robots and load disturbances cause control challenges. To achieve ... -
Energy consumption of on-device machine learning models for IoT intrusion detection
(ELSEVIER, 2023)Recently, Smart Home Systems (SHSs) have gained enormous popularity with the rapid development of the Internet of Things (IoT) technologies. Besides offering many tangible benefits, SHSs are vulnerable to attacks that ...
