Results 11 to 20 of about 272,888 (94)
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization [PDF]
Applied Soft Computing, 2021 This paper presents a new algorithm named spherical vector-based particle swarm optimization (SPSO) to deal with the problem of path planning for unmanned aerial vehicles (UAVs) in complicated environments subjected to multiple threats.
Manh Duong Phung, Q. Ha
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Support vector machine in structural reliability analysis: A review
Reliability Engineering & System Safety, 2023 5 Support vector machine (SVM) is a powerful machine learning technique relying on the 6 structural risk minimization principle. The applications of SVM in structural reliability 7 analysis (SRA) are enormous in the recent past. There are review articles
Atin Roy, S. Chakraborty
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Vestnik of Samara University Natural Science Series, 2020 Proposed work is the fourth in the cycle, therefore, the diagnostic problem is formulated for the case ofexact trajectorial measurements, the diagnostic theorem is stated and proved, and two diagnostic algorithmsthat follow from this theorem are ...
Maxim V. Shamolin
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Vector Approximate Message Passing
IEEE Transactions on Information Theory, 2019 The standard linear regression (SLR) problem is to recover a vector $\mathrm {x}^{0}$ from noisy linear observations $\mathrm {y}=\mathrm {Ax}^{0}+\mathrm {w}$ . The approximate message passing (AMP) algorithm proposed by Donoho, Maleki, and Montanari
S. Rangan, Philip Schniter, A. Fletcher
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Degenerate abnormal trajectories in a sub-Riemannian problem with growth vector (2, 3, 5, 8)
Differential Equations, 2017 A sub-Riemannian manifold is often defined as an \(n\)-dimensional smooth manifold \(M\) equipped with a distribution of \(k\)-planes \(\mathcal D ...
Sachkov Y.L., Sachkova E.F.
openaire +4 more sources
Real-Time Action Recognition with Enhanced Motion Vector CNNs [PDF]
Computer Vision and Pattern Recognition, 2016 The deep two-stream architecture [23] exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculation of optical flow which prevents it to be real-time.
Bowen Zhang +4 more
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Selecting training sets for support vector machines: a review
Artificial Intelligence Review, 2019 Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However, they suffer from the important shortcomings of their high time and memory training complexities, which depend on the ...
J. Nalepa, M. Kawulok
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Public-key cryptosystems from the worst-case shortest vector problem: extended abstract
Symposium on the Theory of Computing, 2009 We construct public-key cryptosystems that are secure assuming theworst-case hardness of approximating the minimum distance on n-dimensional lattices to within small Poly(n) factors.
Chris Peikert
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Journal of Numerical Analysis and Approximation Theory, 2003 We consider the multicriteria problem of combinatorial optimization with partial criteria of the kind MINMAX MODUL. The parameters of criteria are subject to "small" independent perturbations.
Vladimir A. Emelichev +1 more
doaj +2 more sources
IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
I. Ahmad +3 more
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