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Toplam kayıt 278, listelenen: 81-90
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 ...
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 ...
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 ...
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 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 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 ...
On the interdependency between multi-channel scheduling and tree-based routing for WSNs in smart grid environments
(ELSEVIER, 2014)
Field tests show that the link-quality of wireless links in different smart grid environments,
such as outdoor substation, varies greatly both in space and time because of various factors, including multi-path, fading, ...
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 ...
Routing protocol design guidelines for smart grid environments
(ELSEVIER, 2014)
The evaluation of the current electric power grid with novel communication facilities is one
of the most challenging and exciting issues of the 21st century. The modern grid technology is called the smart grid in the sense ...