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Titlebook: Recent Advances in Mathematics and Technology; Proceedings of the F Serge Dos Santos,Mostafa Maslouhi,Kasso A. Okoudjo Book 2020 Springer N

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The Two-Sided Gabor Quaternionic Fourier Transform and Uncertainty Principlessform to quaternion-valued signals, and we give several important properties such as the Plancherel formula and inversion formula. Finally, we establish the Heisenberg uncertainty principles for the GQFT.
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Advanced Ground Truth Multimodal Imaging Using Time Reversal (TR) Based Nonlinear Elastic Wave Spectobal analysis usually considered for the characterization of nanoscale systems with complex mesoscopic properties. The basis of this systemic approach comes from ultrasound imaging of the complexity with examples coming from the non-destructive testing (NDT) industry and from the medical harmonic im
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A Geometrically Constrained Manifold Embedding for an Extrinsic Gaussian Processunded domain in ., is used to construct a smooth vector field from line integral on curves. We prove that optimizing the local shapes from data set leads to a good representation of the generator of a continuous Markov process, which converges in the limit of large data. We explicitly show that the
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Integrating an Intelligent Tutoring System into an Adaptive E-Learning Processdevelop their skills, while making the learning process independent of time and place. Artificial intelligence (AI) techniques in education were tested to increase learning experience. AI researchers look for domain applications, beginning to apply their ideas by tracking students on a course. Intel
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NDN vs TCP/IP: Which One Is the Best Suitable for Connected Vehicles?rent fields of science and technology. This architecture however may need to be reconstructed to fulfill future aims and domains, such as connected vehicles, which is our field of study. For this reason, we suggest in this paper a comparison of the current architecture with NDN (named data networkin
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Book 2020o 27, 2018 in Kenitra, Morocco. Advances in mathematical modeling, optimization, numerical analysis, signal processing, and computer science are presented by leading experts in these fields. There is a particular emphasis on stochastic analysis, machine learning algorithms, and deep learning models,
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