Results 11 to 20 of about 592,656 (330)
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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Efficient k-nearest neighbor search based on clustering and adaptive k values
Pattern Recognition, 2022 The k -Nearest Neighbor ( k NN) algorithm is widely used in the supervised learning field and, particularly, in search and classification tasks, owing to its simplicity, competitive performance, and good statistical properties.
Antonio Javier Gallego +2 more
semanticscholar +1 more source
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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IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 This research was conducted to apply the KNN (K-Nearest Neighbor) algorithm in conducting sentiment analysis of Twitter users on issues related to government policies regarding Online Learning.
Auliya Rahman Isnain +2 more
semanticscholar +1 more source
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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EDUMATIC: Jurnal Pendidikan Informatika, 2022 The phenomenon of technological development can transform systems in various sectors to provide efficiency and convenience at a lower cost, including the financial sector.
Sri Rahayu +3 more
semanticscholar +1 more source
Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery
Applied Sciences, 2021 Case-based intelligent fault diagnosis methods of rotating machinery can deal with new faults effectively by adding them into the case library. However, case-based methods scarcely refer to automatic feature extraction, and k-nearest neighbor (KNN ...
Jiantao Lu +3 more
semanticscholar +1 more source
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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An optimized K-Nearest Neighbor based breast cancer detection
, 2021 In this research, a grid search is employed to find the optimal parameter and an optimized K-Nearest Neighbor (KNN) based breast cancer detection model is proposed.
Tsehay Admassu Assegie
semanticscholar +1 more source