Investigating Discharge Coefficient of Slide Gate-Sill Combination Using Expert Soft Computing Models [PDF]
Journal of Hydraulic Structures, 2023 The use of gate-sill combinations in recent years has been one of the new methods in increasing the hydraulic performance of gates, including the discharge coefficient (Cd).
Yousef Hassanzadeh, Hamidreza Abbaszadeh
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Secure $k$-ish Nearest Neighbors Classifier [PDF]
, 2019 In machine learning, classifiers are used to predict a class of a given query based on an existing (classified) database. Given a database S of n d-dimensional points and a d-dimensional query q, the k-nearest neighbors (kNN) classifier assigns q with ...
Feldman, Dan, Rus, Daniela, Shaul, Hayim
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Texture Feature Extraction in Grape Image Classification Using K-Nearest Neighbor
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Indonesian Grapes are a vine. This fruit is often found in markets, shops, roadside. Along with the development of computer technology today, computers can solve problems by classifying objects and objects.
Pulung Nurtantio Andono +1 more
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Software Cost Estimation by a New Hybrid Model of Particle Swarm Optimization and K-Nearest Neighbor Algorithms [PDF]
Journal of Electrical and Computer Engineering Innovations, 2016 A successful software should be finalized with determined and predetermined cost and time. Software is a production which its approximate cost is expert workforce and professionals.
M. Hasanluo +1 more
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Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation [PDF]
, 2013 With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving.
Chen, Keke, Guo, Shumin, Xu, Huiqi
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Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN [PDF]
Engineering and Technology Journal, 2023 Speech recognition is widely used in robot control and automation. Nevertheless, the use of speech recognition in robots is limited due to its susceptibility to background noise.
Mohammed Safi, Eyad Abbas
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Evaluation of Mutual Information Estimators for Time Series [PDF]
, 2009 We study some of the most commonly used mutual information estimators, based on histograms of fixed or adaptive bin size, $k$-nearest neighbors and kernels, and focus on optimal selection of their free parameters.
Kugiumtzis, Dimitris, Papana, Angeliki
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Comparison of Selected Classification Methods in Automatic Speaker Identification
Communications, 2011 This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM).
Martin Hric +2 more
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IJAIN (International Journal of Advances in Intelligent Informatics), 2021 K-nearest neighbors (KNN) has been extensively used as imputation algorithm to substitute missing data with plausible values. One of the successes of KNN imputation is the ability to measure the missing data simulated from its nearest neighbors robustly.
Nadzurah Zainal Abidin +1 more
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Efficient Processing of k Nearest Neighbor Joins using MapReduce [PDF]
, 2012 k nearest neighbor join (kNN join), designed to find k nearest neighbors from a dataset S for every object in another dataset R, is a primitive operation widely adopted by many data mining applications.
Chen, Su +3 more
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