Results 31 to 40 of about 97,225 (153)
Confocal laser speckle autocorrelation imaging of dynamic flow in microvasculature
Laser speckle imaging has been widely used for in-vivo visualization of blood perfusion in biological tissues. However, existing laser speckle imaging techniques suffer from limited quantification accuracy and spatial resolution.
E Du +3 more
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Process Capability Analysis in the Presence of Autocorrelation [PDF]
The classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are autocorrelated and violate the independency assumption.
Mohsen Mohamadi +2 more
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As anisotropy is a fundamental property of the real-world environmental spatial variables, the conventional omnidirectional variograms and correlograms do not provide means enough to characterise spatial dependence between observations.
Svidzinska Daria
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Analysis of City Demographics Using Spatial Data Mining
The main purpose of data mining in private and public sector institutions is to process and analyse data with the aim of generating reliable information for decision-making.
Krystyna Kurowska +2 more
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Meta-rules for Networks (Invited Paper) [PDF]
This article proposes conceptual approaches for both the design and implementation of network linkages, that dependent on context, should respect interlinking topological and parametric constraints, possess formal properties, be compatible with ...
Gianfranco Minati
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On Correlation Polynomials and Subword Complexity [PDF]
We consider words with letters from a $q-ary$ alphabet $\mathcal{A}$. The kth subword complexity of a word $w ∈\mathcal{A}^*$ is the number of distinct subwords of length $k$ that appear as contiguous subwords of $w$.
Irina Gheorghiciuc, Mark Daniel Ward
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Wearable and smartphone technology innovations have propelled the growth of Pedestrian Navigation Services (PNS). PNS need a map-matching process to project a user’s locations onto maps.
Yoonsik Bang, Jiyoung Kim, Kiyun Yu
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Weighted Machine Learning for Spatial-Temporal Data
Applying machine learning techniques to spatial-temporal data poses the question that how the recorded location and time for training samples should contribute to the training and testing process. The prior knowledge of how spatial-temporal phenomena are
Mahdi Hashemi, Hassan A. Karimi
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An Improved Ranking-Based Feature Enhancement Approach for Robust Speaker Recognition
Although the field of automatic speaker or speech recognition has been extensively studied over the past decades, the lack of robustness has remained a major challenge.
Furong Yan +3 more
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Investigation of Some Cryptographic Properties of the 8x8 S-boxes Created by Quasigroups [PDF]
We investigate several cryptographic properties in 8-bit S-boxes obtained by quasigroups of order 4 and 16 with several different algebraic constructions.
Aleksandra Mileva +3 more
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