Results 1 to 10 of about 88,598 (118)
Gravity-Matching Algorithm Based on K-Nearest Neighbor [PDF]
Sensors, 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.
Shuaipeng Gao, Tijing Cai, Ke Fang
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +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
doaj +1 more source
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
doaj +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
doaj +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
doaj +1 more source
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
doaj +1 more source
Approximate $k$-Nearest Neighbor Graph on Moving Points [PDF]
Transactions on Combinatorics, 2023 In this paper, we introduce an approximation for the $k$-nearest neighbor graph ($k$-NNG) on a point set $P$ in $\mathbb{R}^d$. For any given $\varepsilon>0$, we construct a graph, that we call the \emph{approximate $k$-NNG}, where the edge with the $i ...
Zahed Rahmati
doaj +1 more source