Early Explorations using KNN to Classify Emotions in Virtual Reality based on Heart Rate (HR) and Electrodermography (EDG) [PDF]
ITM Web of ConferencesTo detect multimodal emotions using Virtual Reality (VR), this research demonstrates the findings and results of using a KNN Classifier by merging Heart Rate and Electrodermography signals. The participants in the study were shown 360-degree videos using
Bulagang Aaron Frederick +2 more
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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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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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Issues of heat supply quality improvement based on ambient air temperature forecasts and account of the heat supply system particularity [PDF]
FME Transactions, 2020 The paper studies the issues of temperature regimes selection of the heat supply system operation through the shared use of the heat transfer medium, which is heated in the central boiler plant, by a group of consumers. They have different levels of heat
Mylnikov Leonid, Sidorov Anton
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Eclipse: Generalizing kNN and Skyline [PDF]
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021 $k$ nearest neighbor ($k$NN) queries and skyline queries are important operators on multi-dimensional data points. Given a query point, $k$NN query returns the $k$ nearest neighbors based on a scoring function such as a weighted sum of the attributes, which requires predefined attribute weights (or preferences).
Jinfei Liu +4 more
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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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KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
CoRR, 2021 Pre-trained models are widely used in fine-tuning downstream tasks with linear classifiers optimized by the cross-entropy loss, which might face robustness and stability problems. These problems can be improved by learning representations that focus on similarities in the same class and contradictions in different classes when making predictions.
Linyang Li +4 more
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FORECASTING DISCLOSURE OF CARDIOVASCULAR DISEASE USING MACHINE LEARNING
ICTACT Journal on Soft Computing, 2022 Data mining is a process that uses a combinational framework out of a supportable assessment and machine learning data collection development to eliminate hidden models from massive informative collections.
G Sugendran, S Sujatha
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