Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü Koleksiyonu
Toplam kayıt 286, listelenen: 121-140
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Performance evaluation of cloud computing platforms using statistical methods
(PERGAMON-ELSEVIER SCIENCE LTD, 2014)Cloud computing is a very attractive research topic. Many studies have examined the infrastructure as a service and software as a service aspects of cloud computing; however, few studies have focused on platform as a ... -
A Model Selection Algorithm For Mixture Model Clustering Of Heterogeneous Multivariate Data
(IEEE, 2013)A model selection algorithm is developed for finding the best model among a set of mixture of normal densities fitted to heterogeneous multivariate data. Model selection algorithm proposed first finds total number of mixture ... -
A Data Mining Method For Refining Groups In Data Using Dynamic Model Based Clustering
(IEEE, 2013)A new data mining method is proposed for determining the number and structure of clusters, and refining groups in multivariate heterogeneous data set including groups, partly and completely overlapped group structures ... -
A new per-field classification method using mixture discriminant analysis
(TAYLOR & FRANCIS LTD, 2012)In this study, a new per-field classification method is proposed for supervised classification of remotelysensed multispectral image data of an agricultural area using Gaussian mixture discriminant analysis(MDA). ... -
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 ... -
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
(ELSEVIER, 2023)Coronary artery disease (CAD) is a condition in which the heart is not fed sufficiently as a result of the accumulation of fatty matter. As reported by the World Health Organization, around 32% of the total deaths in the ... -
Disaster-resilient lightpath routing in WDM optical networks
(SPRINGER, 2022)Optical network serves as a core network with huge capacity and a multitude of high-speed data transmission. Natural disasters and physical attacks showed signifcant impacts on the optical networks such as damages the ... -
Deep learning based semantic segmentation and quantification for MRD biochip images
(ELSEVIER SCI LTD, 2022)Microfluidic platforms offer prominent advantages for the early detection of cancer and monitoring the patient response to therapy. Numerous microfluidic platforms have been developed for capturing and quantifying the tumor ... -
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
(ELSEVIER, 2022)Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ... -
Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach
(TUBITAK, 2022)Type 2 diabetes mellitus (T2D) constitutes 90% of the diabetes cases, and it is a complex multifactorial disease. In the last decade, genome-wide association studies (GWASs) for T2D successfully pinpointed the genetic ... -
Energy Trading on a Peer-to-Peer Basis between Virtual Power Plants Using Decentralized Finance Instruments
(MDPI, 2022)Over time, distribution systems have begun to include increased distributed energy resources (DERs) due to the advancement of auxiliary power electronics, information and communication technologies (ICT), and cost reductions. ... -
Intrinsic graph topological correlation for graph convolutional network propagation
(ELSEVIER, 2022)Recently, Graph Convolutional Networks (GCNs) and their variants become popular to learn graph-related tasks. These tasks include link prediction, node classification, and node embedding, among many others. In the node ... -
A high order proximity measure for linear network embedding
(Niğde Ömer Halisdemir Üniversitesi, 2022)Graph representationion learning (network embedding) is at the heart of network analytics techniques to reveal and examine the complex dependencies among nodes. Owing its importance, many computational methods have ... -
Consensus embedding for multiple networks: Computation and applications
(CAMBRIDGE UNIV PRESS32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473, 2022)Machine learning applications on large-scale network-structured data commonly encode network information in the form of node embeddings. Network embedding algorithms map the nodes into a lowdimensional space such that the ... -
Evaluation of Sub-Network search programs in epilepsy-related GWAS dataset
(Pamukkale Üniversitesi, 2022)The active sub-network detection aims to find a group of interconnected genes of disease-related genes in a protein-protein interaction network. In recent years, several algorithms have been developed for this problem. ... -
A Framework for Web Application Integrity
(Current Publisher, 2018)Due to their universal accessibility, interactivity and scaling ease, Web applications relying on client-side code execution are currently the most common form of delivering applications and it is likely that they ... -
Opportunities and challenges in designing a blended international student project activity: Experiences from the EPIC project
(IEEE/Institute of Electrical and Electronics Engineers Inc., 2018)In this paper we explain our experiences and observations on a blended international teaching/training student project activity designed for students of different academic levels and programs at different universities ... -
History-themed games in history education: Experiences on a blended world history course
(IEEE/Institute of Electrical and Electronics Engineers Inc., 2018)In this paper we explain our experiences and observations on a blended world history course which combines classical lecture and discussion elements as well as video game sessions in which the students play strategy video ... -
A hybrid energy harvesting framework for energy efficiency in wireless sensor networks based smart grid applications
(Institute of Electrical and Electronics Engineers Inc., 2018)In smart grid applications, Wireless Sensor Net-works (WSNs) which consist of battery limited sensor nodes are used on critical equipments of power distribution grids for monitoring purposes. WSN nodes have tight energy ... -
PRNU Estimation from Encoded Videos Using Block-Based Weighting
(Society for Imaging Science and Technology, 2021)Estimating the photo-response non-uniformity (PRNU) of an imaging sensor from videos is a challenging task due to complications created by several processing steps in the camera imaging pipeline. Among these steps, video ...
