Results 31 to 40 of about 114,723 (161)
Identifikasi Suara Tangisan Bayi menggunakan Metode LPC dan Euclidean Distance
ABSTRAKKebanyakan orang tua masih jarang memiliki kemampuan mengartikan tangisan bayi. Bagi beberapa orang tua hal tersebut menjadi kendala ketika mengenali kebutuhan dari tangisan bayi.
IRMA AMELIA DEWI +2 more
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On Directed Length Ratios in the Lorentz-Minkowski Plane
The linear structure of the Lorentz-Minkowski plane is almost the same as Euclidean plane. But, there is one different aspect. These planes have different distance functions. So, it can be interesting to study the Lorentz analogues of topics that include
Abdulaziz Açıkgöz
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Comparison of distance measures in spatial analytical modeling for health service planning
Background Several methodological approaches have been used to estimate distance in health service research. In this study, focusing on cardiac catheterization services, Euclidean, Manhattan, and the less widely known Minkowski distance metrics are used ...
Knudtson Merril L +3 more
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Selective Image Segmentation Models Using Three Distance Functions
Image segmentation can be defined as partitioning an image that contains multiple segments of meaningful parts for further processing. Global segmentation is concerned with segmenting the whole object of an observed image.
Abdul Kadir Jumaat, Siti Aminah Abdullah
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Non-Linear Optimization Method for Maximum Point Search in Functions with Corner or Cusp Points
A function is non-differentiable when there is a cusp or a corner point in its graph. To solve this problem, we propose a nonlinear optimization model whose objective function is the Euclidean distance function.
Pasquale Fotia, Massimiliano Ferrara
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GPU-Based Parallel Euclidean Distance Transform Algorithm
Euclidean distance transform (EDT) often suffers from high computational complexity and limited processing efficiency, especially when applied to large-scale images. To address these challenges, this paper proposes a GPU-based parallel EDT algorithm. The
Yucheng Lu +3 more
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This paper presents a novel dissimilarity metric based on local neighboring information and a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc Networks (VANETs).
Daniel Gutiérrez-Reina +3 more
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Dynamic load-altering attack detection based on adaptive fading Kalman filter in power systems
This paper presents an effective and feasible method for detecting dynamic load-altering attacks (D-LAAs) in a smart grid. First, a smart grid discrete system model is established in view of D-LAAs.
Qiang Ma +6 more
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An Optimal Matching Problem for the Euclidean Distance [PDF]
Based on quotations from the authors' introduction: In this paper, the authors are interested in an optimal matching problem that consists in transporting two commodities to a prescribed location, the target set, in such a way that they match there and the total cost of the operation, which is measured in terms of the Euclidean distance that the ...
José M. Mazón +2 more
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FCM Approach of Similarity and Dissimilarity Measures with α-Cut for Handling Mixed Pixels
In this paper, the fuzzy c-means (FCM) classifier has been studied with 12 similarity and dissimilarity measures: Manhattan distance, chessboard distance, Bray⁻Curtis distance, Canberra, Cosine distance, correlation distance, mean absolute ...
Sayan Mukhopadhaya +2 more
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