Results 11 to 20 of about 483,846 (289)
Lip language identification via Wavelet entropy and K-nearest neighbor algorithm
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: Image processing technology is widely used in lip recognition, which can automatically detect and analyse the unstable shape of human lips.
Ran Wang +7 more
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Direction-Aware Nearest Neighbor Query
IEEE Access, 2019 Although the direction aspect is as important as the distance aspect when retrieving spatial objects, the studies of direction-aware queries are limited. The direction-based surrounder query cannot guarantee good directional diversity.
Xi Guo, Xiaochun Yang
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Chromatic $k$-Nearest Neighbor Queries
Journal of Computational Geometry, 2022 37 pages, 9 ...
van der Horst, Thijs +2 more
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Impact of temperature condition in crop disease analyzing using machine learning algorithm
Measurement: Sensors, 2022 In this study K-Nearest Neighbor (KNN) and Max Voting methods, we compare the accuracy rate and RMSE of the prediction system by using temperature data to predict crop disease.
T. Nalini, A. Rama
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IEEE Access, 2020 The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm. It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data.
Wei Zhang +3 more
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Modernizing k‐nearest neighbors
Stat, 2021 The k‐nearest neighbors (k‐NN) method is one of the oldest statistical/machine learning techniques. It is included in virtually every major package, such as caret, parsnip, mlr3 and scikit‐learn. Yet those packages do not go beyond the basics. With today's high‐speed computation capability, k‐NN can be made much more powerful.
Robin Elizabeth Yancey +2 more
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Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters
Complexity, 2022 In order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum
Wei Wu +5 more
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Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification
IEEE Access, 2017 K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, in which the novel weighted voting methods are developed for ...
Hongxing Ma +4 more
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Physical Review Research, 2022 We investigate the nature of the quantum phase transition out of density-wave phase in a spinless fermion model with nearest- and next-nearest-neighbor interaction at one-third filling.
Natalia Chepiga
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IMPLEMENTATION OF GAIN RATIO AND K-NEAREST NEIGHBOR FOR CLASSIFICATION OF STUDENT PERFORMANCE
Pilar Nusa Mandiri, 2020 Predicting student performance is very useful in analyzing weak students and providing support to students who face difficulties. However, the work done by educators has not been effective enough in identifying factors that affect student performance ...
Tyas Setiyorini, Rizky Tri Asmono
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