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Toplam kayıt 11, listelenen: 1-10
A novel approach to obtain trajectories of targets from laser scanned datasets
(Ieee, 2015)
Laser scanner has several bons when compared with video camera. It does not record real world videos except scanned points. As a result, processing of data becomes faster and easier. Over and above, it takes away the problem ...
A proof of concept for home automation system with implementation of the Internet of Things standards
(International University of Sarajevo, 2018)
Who does not want a home having comfortability, security, safety, and reliability? A system of interconnected devices and sensors with internet of things standards can communicate independently with less or no human ...
Classification and detection of various geographical features from satellite imagery
(International University of Sarajevo, 2018)
It is a challenging task to classify and detect various geographical features from the satellite imagery of the Earth as well as the celestial bodies. This paper puts forward several pixel based classification algorithms ...
Classification of geographical features from satellite imagery
(Springer Verlag, 2019)
It is a challenging task to classify heterogeneous geographical features from satellite imagery. This paper addresses 31 straightforward classification algorithms based on predominantly pixels to classify miscellaneous ...
Recognition of objects from laser scanned data points using SVM
(Ieee Computer Soc, 2016)
Nowadays, laser scanners are operated for data collection instead of video cameras. Laser scanners do not record real world videos except scanned points. Thus it takes away problems of private life conservation. Plus data ...
Preface to "computer science and technology"
(American Institute of Physics Inc., 2019)
[No abstract available]
Facial expression recognition using deep learning
(American Institute of Physics, 2021)
Facial expression recognition has become an increasingly important area of research in recent years. Neural network-based methods have made amazing progress in performing recognition-based tasks, winning competitions set ...
An Ab Initio and DFT study of structure and conformers of glycerol
(American Institute of Physics, 2020)
In this paper, the effect of the simultaneous rotation of two different groups, hydroxyl (OH) and hydroxymethyl (CH2OH) groups, on the basic properties of Glycerol are comprehensively studied. Relative energies are reported ...
Classification of breast cancer histopathological images using DenseNet and transfer learning
(Hindawi Publishing Corporation, 2022)
Breast cancer is one of the most common invading cancers in women. Analyzing breast cancer is nontrivial and may lead to disagreements among experts. Although deep learning methods achieved an excellent performance in ...
Deep sentiment analysis: a case study on stemmed Turkish Twitter data
(IEEE, 2021)
Sentiment analysis using stemmed Twitter data from various languages is an emerging research topic. In this paper, we address three data augmentation techniques namely Shift, Shuffle, and Hybrid to increase the size of the ...