Results 1 to 10 of about 414,017 (186)
Gravity-Matching Algorithm Based on K-Nearest Neighbor. [PDF]
Sensors (Basel), 2022 The gravity-aided inertial navigation system is a technique using geophysical information, which has broad application prospects, and the gravity-map-matching algorithm is one of its key technologies.
Gao S, Cai T, Fang K.
europepmc +2 more sources
Chromatic $k$-Nearest Neighbor Queries
Journal of Computational Geometry, 2022 37 pages, 9 ...
van der Horst, Thijs +2 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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Jurnal Komputer Terapan, 2023 Corona Virus Disease 2019 (covid-19) merupakan pandemi dunia yang menimbulkan berbagai kerugian di dunia. Diagnosis covid-19 yang valid memerlukan waktu yang cukup lama dan hasil ini tidak sepenuhnya akurat.
Sapriadi Sapriadi
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JOIN: Jurnal Online Informatika, 2021 Sentiment analysis is a data processing to recognize topics that people talk about and their sentiments toward the topics, one of which in this study is about large-scale social restrictions (PSBB).
Ikhsan Romli +2 more
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Quality-related fault diagnosis based on -nearest neighbor rule for non-linear industrial processes
International Journal of Distributed Sensor Networks, 2021 The fault diagnosis approaches based on k -nearest neighbor rule have been widely researched for industrial processes and achieve excellent performance. However, for quality-related fault diagnosis, the approaches using k -nearest neighbor rule have been
Zelin Ren +2 more
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Analysis K-Nearest Neighbor Method in Classification of Vegetable Quality Based on Color
Journal of Applied Engineering and Technological Science, 2022 In this research, the process of applying the K-Nearst Neighbor (KNN) method will be carried out, which is a classification method for a collection of data based on the majority of categories and the goal is to classify new objects based on attributes ...
Purwa Hasan Putra +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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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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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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