Results 1 to 10 of about 59,324 (254)
Comparison of distance measurement on k-nearest neighbour in textual data classification
Jurnal Teknologi dan Sistem Komputer, 2020 One algorithm to classify textual data in automatic organizing of documents application is KNN, by changing word representations into vectors. The distance calculation in the KNN algorithm becomes essential in measuring the closeness between data ...
Wahyono Wahyono +4 more
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Anaesthesia and Intensive Care, 2007 The Manhattan Project was the highly secret American atomic research study which led to the making of the atom bomb. What is not so well known is that before the Project, fluorine was a difficult and dangerous element, while afterwards it became a key ingredient in all the new inhalational anaesthetics.
openaire +2 more sources
Robust Visual Odometry Leveraging Mixture of Manhattan Frames in Indoor Environments
Sensors, 2022 We propose a robust RGB-Depth (RGB-D) Visual Odometry (VO) system to improve the localization performance of indoor scenes by using geometric features, including point and line features. Previous VO/Simultaneous Localization and Mapping (SLAM) algorithms
Huayu Yuan +3 more
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A Quantum Protocol for Secure Manhattan Distance Computation
IEEE Access, 2020 Secure Manhattan distance computation allows two parties to privately compute the Manhattan distance of their points, which is important and has broad applications.
Wen Liu, Wei Zhang
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Komparasi Jarak Euclidean dan Jarak Manhattan Untuk Deteksi Covid-19 Melalui Citra CT-Scan Paru-Paru
Komputika, 2022 Adanya virus Covid-19, menjadikan negara Indonesia memiliki resiko tinggi terpapar virus Covid-19. Dalam mendeteksi Covid-19 dapat dilakukan dengan alat pencitraan medis salah satunya dengan CT-Scan paru-paru melakui sistem cerdas.
Ayu Eviana +3 more
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Housing the "Other" Half: American Studies' Global Urban Turn
Journal of Transnational American Studies, 2010 Over the course of its short lifetime, the discipline of American studies has utilized a series of self-defining metaphors. With each successive paradigm shift in the field, each of these disciplinary figures, in turn, has been found wanting, and so ...
David Faflik
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Securely Computing the Manhattan Distance under the Malicious Model and Its Applications
Applied Sciences, 2022 Manhattan distance is mainly used to calculate the total absolute wheelbase of two points in the standard coordinate system. The secure computation of Manhattan distance is a new geometric problem of secure multi-party computation.
Xin Liu +5 more
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Performance Evaluation of Dsr with Mobility Models
MATEC Web of Conferences, 2016 Topology and mobility in a Mobile Ad Hoc Network (MANET) is a key factor that affects the performance of the protocol. Research in the field of MANET is usually done by using simulation.
Wahanani Henni Endah +2 more
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Ilkom Jurnal Ilmiah, 2020 K-Nearest Neighbor is a data mining algorithm that can be used to classify data. K-Nearest Neighbor works based on the closest distance. This research using the Euclidean and Manhattan distances to calculate the distance of Lhokseumawe-Medan bus ...
Rozzi Kesuma Dinata +2 more
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A guidance of model selection for genomic prediction based on linear mixed models for complex traits
Frontiers in Genetics, 2022 Brain imaging outcomes are important for Alzheimer’s disease (AD) detection, and their prediction based on both genetic and demographic risk factors can facilitate the ongoing prevention and treatment of AD.
Jiefang Duan +4 more
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