Search Results - "SVM" :: K.UTB vyhledávací portál

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A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration

by Shaziayani, Wan Nur, Ahmat, Hasfazilah, Razak, Tajul Rosli, Zainan Abidin, Aida Wati, Warris, Saiful Nizam, Asmat, Arnis, Noor, Norazian Mohamed, Ul-Saufie, Ahmad Zia
Published in Atmosphere (01.12.2022)

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Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI

by Hidalgo-Muñoz, Antonio R., Ramírez, Javier, Górriz, Juan M., Padilla, Pablo
Published in Frontiers in aging neuroscience (2014)

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Research on calibration method of quantum circuit output based on SVM

by Li, Xiang, Jiang, Yibo, Cao, Kexin, Zhu, Mingqiang, Cheng, Xueyun, Zhu, Pengcheng, Guan, Zhijin
Published in Liang zi dian zi xue bao (01.03.2024)

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Stock market trend prediction using AHP and weighted kernel LS-SVM

by Marković, Ivana, Stojanović, Miloš, Stanković, Jelena, Stanković, Milena
Published in Soft computing (Berlin, Germany) (01.09.2017)

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Robust Voltage Vector-Controlled Three-Phase SAPF-based BPMVF and SVM for Power Quality Improvement

by Essoussi, Bouchaib, Moutabir, Ahmed, Bensassi, Bahloul, Ouchatti, Abderrahmane, Zahraoui, Yassine, Benazza, Bouchaib
Published in International Journal of Robotics and Control Systems (15.01.2024)

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Evaluation on EMG Electrode Reduction in Recognizing the Pattern of Hand Gesture by Using SVM Method

by Winarno, H A, Poernama, A I, Soesanti, I, Nugroho, H A
Published in Journal of physics. Conference series (01.07.2020)

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Combined Use of FSR Sensor Array and SVM Classifier for Finger Motion Recognition Based on Pressure Distribution Map

by Li, Nan, Yang, Dapeng, Jiang, Li, Liu, Hong, Cai, Hegao
Published in Journal of bionics engineering (01.03.2012)

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Comparison of the WEKA and SVM-light based on support vector machine in classifying Alzheimer's disease using structural features from brain MR imaging

by Tantiwetchayanon, K, Vichianin, Y, Ekjeen, T, Srungboonmee, K, Ngamsombat, C, Chawalparit, O
Published in Journal of physics. Conference series (01.06.2019)

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RECOGNITION OF SEMG HAND ACTIONS BASED ON CLOUD ADAPTIVE QUANTUM CHAOS IONS MOTION ALGORITHM OPTIMIZED SVM

by WANG, BINGZHU, WANG, CHAO, WANG, LU, XIE, NENGGANG, WEI, WEI
Published in Journal of mechanics in medicine and biology (01.09.2019)

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基于SVM的量子线路输出校准方法研究

by 李响, 姜一博, 曹可欣, 朱明强, 程学云, 朱鹏程, 管致锦
Published in 量子电子学报 (2024)

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Prediction and management of physical injuries caused by gym equipment and facilities using a Support Vector Machine (SVM) algorithm

by Javad Shahlaei Bagheri
Published in Research in Sport Management and Marketing (01.04.2024)

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Motor-Imagery EEG Signals Classificationusing SVM, MLP and LDA Classifiers

by Narayan, Yogendra
Published in Turkish journal of computer and mathematics education (11.04.2021)

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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files

by Nafiiev, Alan, Rodionov, Andrii
Published in Sučasnij stan naukovih doslìdženʹ ta tehnologìj v promislovostì (Online) (30.09.2024)

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P1‐255: PREDICTION OF PRODROMAL AD IN MCI SUBJECTS USING MULTICENTER DTI AND MRI DATA AND MULTIPLE KERNELS SVM: AN EDSD STUDY

by Dyrba, Martin, Ewers, Michael, Plant, Claudia, Barkhof, Frederik, Fellgiebel, Andreas, Hausner, Lucrezia, Filippi, Massimo, Kirste, Thomas, Teipel, Stefan J.
Published in Alzheimer's & dementia (01.07.2014)

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IC‐P‐072: PREDICTION OF PRODROMAL AD IN MCI SUBJECTS USING MULTICENTER DTI AND MRI DATA AND MULTIPLE KERNELS SVM: AN EDSD STUDY

by Dyrba, Martin, Ewers, Michael, Plant, Claudia, Barkhof, Frederik, Fellgiebel, Andreas, Hausner, Lucrezia, Filippi, Massimo, Kirste, Thomas, Teipel, Stefan J.
Published in Alzheimer's & dementia (01.07.2014)

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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files

by Alan Nafiiev, Andrii Rodionov
Published in Sučasnij stan naukovih doslìdženʹ ta tehnologìj v promislovostì (Online) (01.09.2024)

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Diagnostic genes and immune infiltration analysis of colorectal cancer determined by LASSO and SVM machine learning methods: a bioinformatics analysis

by Li, Yan-Rong, Meng, Ke, Yang, Guang, Liu, Bao-Hai, Li, Chu-Qiao, Zhang, Jia-Yuan, Zhang, Xiao-Mei
Published in Journal of gastrointestinal oncology (01.06.2022)

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Linear-nonlinear heart rate variability analysis and SVM based classification of normal and hypertensive subjects

by Poddar, M.G., Kumar, V., Sharma, Y.P.
Published in Journal of electrocardiology (01.07.2013)

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SVM classification of facial functions based on facial landmarks and animation Units

by Gaber, Amira, Taher, Mona F, Abdel Wahed, Manal, Shalaby, Nevin Mohieldin
Published in Biomedical physics & engineering express (01.09.2021)

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Direct comparison of SVM and LR classifier for SEMG signal classification using TFD features

by Narayan, Yogendra
Published in Materials today : proceedings (2021)

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