• Suche: Machine Methods

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Current reference computation for Bearingless Multi-Sector Permanent Magnet Machine: methods and issues
Milan, Hugo ; Wang, Meiqi ; Carbone, Lorenzo ; et al.
19th International Symposium on Magnetic Bearings (ISMB19).

Otsu, Japan Multi-sector Drive Bearingless Permanent Ma... [SPI.ELEC]Engineering Sc... Electromagnetism [SPI.NRJ]Engineering Sci... …
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3

Comparison of Random Forest and Support Vector Machine Methods in Sentiment Analysis of Student Satisfaction Questionnaire Comments at ITB STIKOM Bali
Purnama Sidik ; I Made Gede Sunarya ; I Gede Aris Gunadi
Journal of Applied Informatics and Computing, Vol 9, Iss 3, Pp 794-802 (2025)

classification sentiment analysis Electronic computers. Co... smote support vector machine QA75.5-76.95 …
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4

Data processing and machine learning methods for multi-modal operator state classification systems / Tristan A. Hearn.
Hearn, Tristan A.

Classifications. Computer programs. Human factors engineerin... Machine learning. Software engineering.
Buch
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5

ML-SPEAK: A theory-guided machine learning method for studying and predicting conversational turn-taking patterns.
O'Bryan, Lisa R. ; Navarro, Madeline ; Hevia, Juan Segundo ; et al.
J Pers Soc Psychol

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6

Real-Time Classification of Local Orange Fruit Quality Using YOLO (You Only Look Once) and SVM (Support Vector Machine) Methods
Muhammad Khoiruddin Harahap ; Rudi Arif Candra ; Arie Budiansyah ; et al.
PERFECT: Journal of Smart Algorithms. 2:47-56

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7

Accessible water quality monitoring through hybrid human–machine colorimetric methods
McCarty, Dakota Aaron ; Kim, Minji Alyssa ; Jo, Hyunwoo ; et al.
Environmental Monitoring and Assessment: An International Journal Devoted to Progress in the Use of Monitoring Data in Assessing Environmental Risks to Humans and the Environment. 197(5)

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9

Predicting Pesticide LC50 Toxicity Using Convolutional Neural Networks and Dragonfly-Support Vector Machine Methods with Quantitative Structure-Activity Relationship and 2D Molecular Fingerprints: A Case Study on Oncorhynchus Mykiss
Mahtal, Badiet El Djamel Nedjma ; Laidi, Maamar ; Rahal, Soufiane ; et al.
Chemistry Africa: A Journal of the Tunisian Chemical Society. 8(4):1463-1476

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10

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11

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12

Comparison of naïve bayes and support vector machine methods for jkt48 music video comment classification
Alif Abdul Aziz ; Rofik Rofik
Journal of Student Research Exploration. 3:8-18

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14

Sentiment Analysis of Lazada Marketplace User Ratings with Naïve Bayes and Support Vector Machine Methods
Sugeng Setyabudi ; Enny Aryanny
INOVTEK Polbeng - Seri Informatika. 10:422-433

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15

Comparison of Support Vector Regression and Extreme Learning Machine Methods for Predicting Bitcoin Prices
Felix Ferdinand ; Ryan Anthony ; Tanjaya Jason Winata ; et al.
Journal of Applied Informatics and Computing, Vol 9, Iss 5, Pp 2121-2130 (2025)

bitcoin support vector regressio... extreme learning machine... predictio comparison Electronic computers. Co... …
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16

A comparative study of decision tree and support vector machine methods for gold prospectivity mapping
Mohammad Ebdali ; Ardeshir Hezarkhani
Mineralia Slovaca. 56:165-180

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17

Sentiment Analysis of Twitter User’s Perceptions of the Campus Merdeka Using Naïve Bayes Classifier and Support Vector Machine Methods
Muhammad Arib Alwansyah Arib ; Intan Salsabilla ; Sigit Nugroho ; et al.
Journal of Statistics and Data Science. 2:70-81

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18

General Kernel Machine Methods for Multi-Omics Integration and Genome-Wide Association Testing With Related Individuals.
Little A ; Zhao N ; Mikhaylova A ; et al.
Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet Epidemiol Subsets: MEDLINE

Humans Phenotype Models, Genetic Genotype Polymorphism, Single Nuc... Machine Learning …
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19

Comparison of Extreme Learning Machine Methods and Support Vector Regression for Predicting Bank Share Prices in Indonesia
Setiadi, Williem Kevin ; Prasetyo, Vincentius Riandaru ; Kartikasari, Fitri Dwi
Teknika, Vol 13, Iss 2, Pp 219-225 (2024)

extreme learning machine QA76.75-76.765 QA76 Computer software stocks prediction QA75 Electronic computer... banking indonesia …
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20

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