Results 1 to 10 of about 847 (90)
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2023 AbstractClustering analysis is fundamental for determining dominant discontinuity properties in rock engineering. Orientation has commonly been considered the only factor when performing clustering, which ignores the contributions of other discontinuity properties to the deformations and strengths of rock masses. This study proposes an improved netting
Qinkuan Hou +5 more
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Hyperbolic Sine Similarity Measure of SVNSs for Open-Pit Mine Slope Stability Classification and Assessment [PDF]
Neutrosophic Sets and Systems, 2023 Slope instability is a common geological hazard in open-pit mines, which may cause huge economic losses and casualties. Thus, it is important to cluster and evaluate the stability of slopes effectively.
Yi Ding, Jun Ye
doaj +1 more source
Open-Pit Mine Slope Stability Clustering Analysis and Assessment Models Based on an Inverse Hyperbolic Sine Similarity Measure of SVNSs [PDF]
Neutrosophic Sets and Systems, 2023 Slope instability is a common and typical problem of geological hazards, often accompanied by significant losses. So, it is necessary to provide some simple and effective methods to avoid the potential geological hazards of slope instability.
Kaiqian Du, Shigui Du, Jun Ye
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Diagnostics, 2023 In this study, we develop an innovative method that assists computer-aided diagnosis in the determination process of the exact location of the femoral neck junction in plain radiographs. Our algorithm consists of two phases, i.e., coarse prediction and fine matching, which are implemented by supervised deep learning method and unsupervised clustering ...
Y. Y. Chen +4 more
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Net Electricity Clustering at Different Temporal Resolutions Using a SAX-Based Method for Integrated Distribution System Planning [PDF]
IEEE Access, 2019 This paper addresses a major utility and regulator concern of characterizing customer net electricity consumption profiles to realize integrated distribution system planning. This is pivotal in assessing the capability of the power system to accommodate net load variability and its impacts on the grid such as voltage rise, narrowing peak demand ...
Michael Emmanuel, Julieta Giraldez
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A New Adaptive Elastic Net Method for Cluster Analysis
International Journal of Computers Communications & Control, 2017 Clustering is inherently a highly challenging research problem. The elastic net algorithm is designed to solve the traveling salesman problem initially, now is verified to be an efficient tool for data clustering in n-dimensional space. In this paper, by introducing a nearest neighbor learning method and a local search preferred strategy, we proposed a
Junyan Yi +3 more
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A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis
Zhongguo dianli, 2020 A short-term load forecasting method based on load characteristics clustering and elastic net analysis is proposed in this paper. By analyzing and clustering the historical load characteristics, the annual days are classified and its clusters are specified, and the lack of pertinence of the types of the day cluster selection is avoided.
Bingjie JIN +4 more
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Dynamic time warping analysis of accelerometry data: a tool for interpreting fine-scale movement patterns during fish angling events. [PDF]
Conserv PhysiolVan Wert JC +10 more
europepmc +1 more source