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A Low Cost Manipulator Training Set
(IEEE, 2018)
Manipulators serve worldwide to increase quality requirements and speed up the production of the manufacturing industry. Typical applications of manipulators include welding, painting, ironing, assembly, picking and placing, ...
Anomaly Detection in Wireless Sensor Networks Data by Using Histogram Based Outlier Score Method<bold> </bold>
(IEEE, 2018)
Data anomaly detection in wireless sensor networks, which is one of the important technologies and study areas, is a method that enhances data quality and data reliability. Besides data enhancing methods such as estimating ...
Field-Programmable Gate Array Implementation of Adaptive Neuro-Fuzzy System Using Sensors Monitoring Health-Care Medicinal Internet of Things
(AMER SCIENTIFIC PUBLISHERS, 2020)
In this study, an artificial intelligent algorithm that can be used for monitoring health-care MIoT (Medicinal Internet of Things) and predicting system based on Adaptive Neuro-Fuzzy Inferences System Architecture (ANFIS) ...
MATLAB/SIMULINK Model For HVDC Fault Calculations
(IEEE, 2019)
Power transmission has faced many challenges as the days goes by. Power demand has increased and its becoming increasingly difficult to acquire right way for new lines, due to growth, population, urbanizations and environmental ...
A low cost manipulator training set
(2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018, 2018)
Manipulators serve worldwide to increase quality requirements and speed up the production of the manufacturing industry. Typical applications of manipulators include welding, painting, ironing, assembly, picking and placing, ...
A framework model for data reliability in wireless sensor networks [Kablosuz Algilayici Aglarda Veri Güvenilirligi Için Bir ÇerçEve Model]
(2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, 2016)
In this study a model for data reliability in wireless sensor networks is proposed, in which machine learning methods are used. Proposed framework includes data modelling, missing data prediction, anomaly detection, data ...
White blood cells classifications by SURF image matching, PCA and dendrogram
(Biomedical Research (India), 2015)
Determination and classification of white blood cells are very important for diagnosing many diseases. The number of white blood cells and morphological changes or blasts of them provide valuable information for the positive ...
Formal trust assessment with confidence probability
(KSII Transactions on Internet and Information Systems, 2015)
Trust and trustworthiness of web services and organizations is calculated as scalar values. But there is still a certain level of risk for the overall reliability of this value. In this article, we focus on calculating ...
Two-way real-time meteorological data analysis and mapping information system
(Applied and Computational Mathematics, 2014)
In the paper, two-way real-time meteorological data analysis and mapping information system is proposed. In this scope, the following main results are obtained: 1) updating the raw data and performing the analysis and ...
Automatic segmentation, counting, size determination and classification of white blood cells
(Measurement: Journal of the International Measurement Confederation, 2014)
The counts, the so-called differential counts, and sizes of different types of white blood cells provide invaluable information to evaluate a wide range of important hematic pathologies from infections to leukemia. Today, ...
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