Results 31 to 40 of about 8,989,075 (297)
Pattern recognition of rigid hoist guides based on support vector machine
Advances in Mechanical Engineering, 2018 In order to evaluate the serviceable condition of rigid hoist guides and recognize their status patterns, vibration and angle signals were collected from an test-rig which can simulate different sorts of defects. Characteristic parameters by which status
Yansong Ma +3 more
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Journal of Kufa for Mathematics and Computer, 2019 This paper compares between testing performance methods of classifier algorithm on a standard database of mammogram images. Mammographic interchange society dataset (MIAS) is used in this work.
Thekra Hayder Abbas, Sura Jasim Mohammed
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Доклады Белорусского государственного университета информатики и радиоэлектроникиThe problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments.
D. V. Krasnoproshin, M. I. Vashkevich
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Study of character recognition of digital display instrument in coal mine substatio
Gong-kuang zidonghua, 2016 In view of problems of low automation degree and recognition reliability of digital display instrument in coal mine substation, a kind of character recognition algorithm based on improved genetic algorithm and support vector machine algorithm was ...
HAO Jianhua
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Machine learning methods in chemoinformatics [PDF]
, 2014 Machine learning algorithms are generally developed in computer science or adjacent disciplines and find their way into chemical modeling by a process of diffusion.
John B. O. Mitchell, Mitchell, J.B.O.
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Turbopump Condition Monitoring Using Incremental Clustering and One-class Support Vector Machine [PDF]
, 2011 Turbopump condition monitoring is a significant approach to ensure the safety of liquid rocket engine (LRE). Because of lack of fault samples, a monitoring system cannot be trained on all possible condition patterns. Thus it is important to differentiate
Gu, Fengshou +3 more
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Jurnal Teknologi Informatika & Komputer, 2023 Jaringan media sosial pada saat ini terus berkembang dan berdampak pada industri perhotelan. Pelanggan dan traveler telah memposting hasil review secara online untuk menunjukkan tingkat kepuasan mereka terhadap hotel dan berbagi pengalaman terkait hotel ...
Hansen Christanto +6 more
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TRAINING A SUPPORT VECTOR MACHINE CLASSIFIER
مجلة البحوث الأكاديمية, 2018 Machine Learning (ML) is a very important field that enable researchers to develop many computer-based applications that can be used to facilitate employer's carrier in many scientific area. Support vector machine (SVM) is one of the most popular supervised learning algorithms in ML that are used to classify data.
Fawzia M. Abujalala +2 more
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Support vector machines classifiers of physical activities in preschoolers [PDF]
Physiological Reports, 2013 The goal of this study is to develop, test, and compare multinomial logistic regression (MLR) and support vector machines (SVM) in classifying preschool-aged children physical activity data acquired from an accelerometer. In this study, 69 children aged 3-5 years old were asked to participate in a supervised protocol of physical activities while ...
Zhao, Wei +5 more
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Entropy clustering-based granular classifiers for network intrusion detection
EURASIP Journal on Wireless Communications and Networking, 2020 Support vector machine (SVM) is one of the effective classifiers in the field of network intrusion detection; however, some important information related to classification might be lost in the reprocessing. In this paper, we propose a granular classifier
Hui Liu, Gang Hao, Bin Xing
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