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Object recognition and detection with deep learning for autonomous driving applications
(Simulation, 2017)
Autonomous driving requires reliable and accurate detection and recognition of surrounding objects in real drivable environments. Although different object detection algorithms have been proposed, not all are robust enough ...
Object recognition and detection with deep learning for autonomous driving applications
(SAGE PUBLICATIONS LTD, 2017)
Autonomous driving requires reliable and accurate detection and recognition of surrounding objects in real drivable environments. Although different object detection algorithms have been proposed, not all are robust enough ...
A 2-Dimensional Model of Polynomial Type for Oscillatory ATM-Wip1 Dynamics in p53 Network
(IEEE, 2017)
Under gamma irradiation, p53 gene regulatory network is able to exhibit three different modes, namely low state, oscillations, and high state. There are experimental studies demonstrating that oscillatory behaviour of p53 ...
A Comparison of Feature Selection Algorithms for Cancer Classification Through Gene Expression Data: Leukemia Case
(IEEE, 2017)
In this study, three different feature selection algorithms are compared using Support Vector Machines as classifier for cancer classification through gene expression data. The ability of feature selection algorithms to ...
A 2-dimensional Reduced Oscillator Model with Rational Nonlinearities for p53 Dynamics
(IEEE, 2017)
p53 tumour suppressor network plays the key role in DNA damage response of the cell. We present a comprehensive 2-dimensional oscillator model for p53 network dynamics. The model is reduced from the known 17-dimensional ...