Results 31 to 40 of about 151,861 (137)
International Journal of Computer Applications, 2019 The level of criminality in Nigeria is at alarming rate which leads to daily development of various security skills used in identification and verification of offenders. Face Recognition (FR) which is one of the security skills is a biometric system used
Tajudeen N., K. A., Yusuf-Asaju Ayisat
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Vestnik MGTU, 2019 The conditions for potential production of deposit reserves are studied at the initial stage of its development as every deposit is a unique one. Mining conditions can change during production, therefore, it is necessary to adapt the mining technology to
Belogorodtsev O. V., Khomkin E. E.
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Real Time Facial Recognition Using Principal Component Analysis (PCA) And EmguCV
IOP Conference Series: Materials Science and Engineering, 2018 Facial recognition is a challenging research in the field of image processing and computer vision, especially for security systems, weight determiner, and emotional determination based on the face image recognition.
S. Sultoni, A G Abdullah
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Clinical software development for the Web: lessons learned from the BOADICEA project
BMC Medical Informatics and Decision Making, 2012 Background In the past 20 years, society has witnessed the following landmark scientific advances: (i) the sequencing of the human genome, (ii) the distribution of software by the open source movement, and (iii) the invention of the World Wide Web ...
Cunningham Alex P +2 more
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A review of automated image understanding within 3D baggage computed tomography security screening
Journal of X-Ray Science and Technology, 2015 Baggage inspection is the principal safeguard against the transportation of prohibited and potentially dangerous materials at airport security checkpoints.
A. Mouton, T. Breckon
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Using PCA to Evaluate Computer Network Security
Information Technology Convergence and Services, 2012 The principal components analysis (PCA) is a multivariate statistical tool which brings the multi-dimensional factor into the identical system to carry on the qualitative and quantitative research. The theory is relatively complete.
Yunlong Zhang, Yong Hua
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An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System
IEEE AccessWith the increase of cyber-attacks and security threats in the recent decade, it is necessary to safeguard sensitive data and provide robust protection to information systems and computer networks.
Omar Alghushairy +6 more
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SVMFN-FSAR: Semantic-Guided Video Multimodal Fusion Network for Few-Shot Action Recognition
Big Data Mining and AnalyticsFew-Shot Action Recognition (FSAR) has been a heat topic in various areas, such as computer vision and forest ecosystem security. FSAR aims to recognize previously unseen classes using limited labeled video examples.
Ran Wei +5 more
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Frontiers in Plant ScienceIntroductionDiseases of plants remain one of the greatest threats to sustainable agriculture, with a direct adverse effect on crop productivity and threatening food security worldwide.
Shtwai Alsubai +5 more
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Вестник Научно-исследовательского института железнодорожного транспорта, 2015 The paper deals with methodological approaches and practical venues of international cooperation in the areas of information security and cybersecurity on railway transport. The approaches were adopted by the workshop “Cybersecurity on Railway Transport”
S. E. Adadurov +3 more
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