Diagnosing Alzheimer’s Disease using Convolution Neural Networks
Journal of Computer Science, 2022 Corresponding Author: Tanupriya Choudhury Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun-248007, India Email: tanupriya1986@gmail.com; tanupriya@ddn.upes.ac.in Abstract: Alzheimer’s is a
Sarita +4 more
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Some properties of the spinor fourier transform [PDF]
, 2015 In this paper, the theory of the spinor Fourier transform introduced in [Batard T, Berthier M, Saint-Jean C, Clifford-Fourier Transform for Color Image Processing, Geometric Algebra Computing for Engineering and Computer Science (E.
Batard, Thomas, Raeymaekers, Tim
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IoT-based intrusion detection system using convolution neural networks
PeerJ Computer Science, 2021 In the Information and Communication Technology age, connected objects generate massive amounts of data traffic, which enables data analysis to uncover previously hidden trends and detect unusual network-load.
A. Aljumah
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Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine [PDF]
International Journal of Advanced Computer Science and Applications, 2020 Recognition of Arabic characters is essential for natural language processing and computer vision fields. The need to recognize and classify the handwritten Arabic letters and characters are essentially required.
M. Shams, A. Elsonbaty, Wael. Z. ElSawy
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TripleMAsk Spatial Linear Filter and Neutrosophic Entropy for Video Denoising, Face Detection and Recognition in Forensic Crime Analysis Using Deep Learning [PDF]
Neutrosophic Sets and SystemsForensic Science is the application of Scientific methods to resolve crime and legal issues. It involves various disciplines, such as Computer Science, Biology, Chemistry and Anthropology.
Anita Sigamani, Dr. Prema Selvaraj
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New application of non-binary Galois fields Fourier transform: digital analog of convolution theorem
Indonesian Journal of Electrical Engineering and Computer Science, 2021 It is shown that the use of the representation of digital signals varying in the restricted amplitude range through elements of Galois fields and the Galois field Fourier transform makes it possible to obtain an analogue of the convolution theorem. It is
E. S. Vitulyova +2 more
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Nonlinear Time-Domain Strip Theory Formulation for Low-Speed Manoeuvering and Station-Keeping [PDF]
Modeling, Identification and Control, 2004 This paper presents a computer effective nonlinear time-domain strip theory formulation for dynamic positioning (DP) and low-speed manoeuvring. Strip theory or 2D potential theory, where the ship is divided in 20 to 30 cross sections, can be used to ...
Thor I. Fossen, Øyvind N. Smogeli
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [PDF]
, 2017 In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit.
Chen, Liang-Chieh +4 more
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IEEE Access, 2020 A method to extract the retina characteristic points for the purpose of medical diagnosis of the human eye is presented in this research. The proposed method helps to make the primary decision about the illness faster and can be used on mobile devices ...
Maciej Szymkowski +5 more
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Invariance of visual operations at the level of receptive fields [PDF]
, 2012 Receptive field profiles registered by cell recordings have shown that mammalian vision has developed receptive fields tuned to different sizes and orientations in the image domain as well as to different image velocities in space-time.
Lindeberg, Tony
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