Suchergebnisse - "K Nearest Neighbour algorithm"

Multi-Label Classification of Research Papers Using Multi-Label K-Nearest Neighbour Algorithm von Li, Shurui, Ou, Jiechen

“… With the frequent interaction and cooperation between different disciplines in recent years, the number of research papers associated with multiple subjects increased …”
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Application of Artificial Intelligence-based Technology in Cancer Management: A Commentary on the Deployment of Artificial Neural Networks von SHERBET, GAJANAN V., WOO, WAI LOK, DLAY, SATNAM

“… The conventional approaches using statistical methods have provided much information, but are subject to limitations imposed by the complexity of medical data …”
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Classification of wrist movements in different directions based on MEG signals von Hatipoglu, Bahar, Yilmaz, Cagatay Murat, Kose, Cemal, Aydemir, Onder

“… Brain-computer interface (BCIs) is non-muscular communication and control system which allows users to send messages or control commands to any kind of …”
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Comparative Analysis of KNN, SVM, DT for EOG based Human Computer Interface von Babita, Syal, Poonam, Kumari, Preeti

“… EOG signal has been acquired by placing electrodes at left and right corner of eye from 12 subjects …”
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Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm von Jung, Jaehoon, Kim, Sangpil, Hong, Sungchul, Kim, Kyoungmin, Kim, Eunsook, Im, Jungho, Heo, Joon

“… This paper suggested simulation approaches for quantifying and reducing the effects of National Forest Inventory (NFI) plot location error on aboveground …”
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A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data von Yao, Zizhen, Ruzzo, Walter L

“… A weakness of traditional KNN methods, especially when handling heterogeneous data, is that performance is subject to the often ad hoc choice of similarity metric …”
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Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system von Plawiak, Pawel

“… •New methodology based on single lead and analysis of longer (10-s) ECG signal fragments is proposed.•New training based on genetic algorithm coupled with …”
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Using data mining techniques to isolate chemical intrusion in water distribution systems von Barros, Daniel Bezerra, Cardoso, Sandra Maria, Oliveira, Eva, Brentan, Bruno, Ribeiro, Lubienska

“… The security of water distribution systems has become the subject of an increasing volume of research over the last decade …”
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Predicting knee osteoarthritis risk in injured populations von Long, Michael J., Papi, Enrica, Duffell, Lynsey D., McGregor, Alison H.

“… Individuals who suffered a lower limb injury have an increased risk of developing knee osteoarthritis. Early diagnosis of osteoarthritis and the ability to …”
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Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding von Sundaresan, Vaanathi, Zamboni, Giovanna, Le Heron, Campbell, Rothwell, Peter M., Husain, Masud, Battaglini, Marco, De Stefano, Nicola, Jenkinson, Mark, Griffanti, Ludovica

“… White matter hyperintensities (WMH) or white matter lesions exhibit high variability in their characteristics both at population- and subject-level, making their detection a challenging task …”
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The Method for Identifying Employees’ Emotions in Adverse States Incorporating PSO-kNN Algorithm and Multiple Physiological Parameters von Han, Jiaonan

“… , combined with particle swarm optimisation algorithm for feature selection, and the k-nearest neighbour algorithm was used to classify the different emotion and tension levels in the undesirable …”
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Implementation of the K-Nearest Neighbor Algorithm for the Classification of Student Thesis Subjects von Suryaputra Paramita, Adi

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Anomaly Detection of Servomotors Subject to Highly Accelerated Limit Testing von SHIBUTANI, Tadahiro

“… The anomalous behavior of a servomotor can be identified using a k-nearest neighbor algorithm and verified by inspection using the loading conditions and electrical responses …”
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Trust access control method of power metering automation system based on K nearest neighbor algorithm von Liang, Yanhe, Cao, Hongyu, Gong, You, Wang, Xiaoyu, Li, Xinggang

“… K-nearest neighbor algorithm can predict or classify the data samples according to the similarity of electric energy measurement, and restrict only authorized users to access and modify the data …”
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Computed tomography quantification of tracheal abnormalities in COPD and their influence on airflow limitation von Gallardo Estrella, Leticia, Pompe, Esther, Kuhnigk, Jan‐Martin, Lynch, David A., Bhatt, Surya P., Ginneken, Bram, Rikxoort, Eva Marjolein

“… Purpose To present a method to automatically quantify tracheal morphology changes during breathing and investigate its contribution to airflow impairment when …”
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Sleep Apnea Classification Algorithm Development Using a Machine-Learning Framework and Bag-of-Features Derived from Electrocardiogram Spectrograms von Lin, Cheng-Yu, Wang, Yi-Wen, Setiawan, Febryan, Trang, Nguyen Thi Hoang, Lin, Che-Wei

“… ) derived from an ECG spectrogram. Methods: This study was verified using overnight ECG recordings from 83 subjects with an average apnea–hypopnea index (AHI) 29.63 (/h …”
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Gait recognition on the basis of markerless motion tracking and DTW transform von Switonski, Adam, Krzeszowski, Tomasz, Josinski, Henryk, Kwolek, Bogdan, Wojciechowski, Konrad

“… A point cloud distance measure with temporal context has been utilised in k-nearest neighbours algorithm to compare time instants of motion sequences …”
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Computational approach for content‐based image retrieval of K‐similar images from brain MR image database von Sampathila, Niranjana, Pavithra, Martis, Roshan Joy

“… Content‐based medical image retrieval (CBMIR) is a mechanism to handle a huge quantity of image data generated in various medical imaging modalities. In recent …”
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A method for the classification of corrective activity in context dependent postural controlling tasks von Rasku, Jyrki

“… Difficulties in maintaining postural stability are not common among young healthy people. However, with increasing age problems start to emerge. Deficits in …”
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Using general-purpose compression algorithms for music analysis von Louboutin, Corentin, Meredith, David

“… A novel method was used, combining multiple viewpoints, the k-nearest-neighbour algorithm and a novel distance metric, corpus compression distance …”
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