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1by Yew, Poh Leng“...). The performance and suitability of different statistical and machine learning techniques for solar irradiance...”
Published 2023
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2by Nasiru Garba Noma“... unsupervised and supervised machine learning techniques in the form of Frequent Pattern Growth (FP-Growth...”
Published 2014
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3by Khirbeet, Ahmed Salih“...Wi-Fi based localization using machine learning has been proven to be an attractive approach...”
Published 2020
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4by Dheyaa, Ghaith Anmar“.... The approach relies on incorporating the Duval triangle method (DTM) with two machine learning classifiers...”
Published 2019
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6by Mohd Foozy, Cik Feresa“... Machine Learning Repository, the Dublin Institute of Technology (DIT), British English SMS and Malay SMS...”
Published 2017
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7by Aminordin, Azmi“... by various machine learning algorithm are the main issues spotted in static analysis approach...”
Published 2021
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10by Kasmuri, Emaliana“... corpus as the data set and two machine learning classifiers, which are Naïve-Bayes and Support Vector...”
Published 2023
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11by Wahono, Romi Satria“.... The classification algorithm is a popular machine learning approach for software defect prediction. Unfortunately...”
Published 2015
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12by A.Rahman, Khairulnizam“... service label data uses to evaluate the focus parameters using classification machine learning algorithms...”
Published 2017
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16by Ramadhan, Rakhmat Sani“... is classified into two classes. Those classes are yes and no. The data was collected from the Machine Learning...”
Published 2014
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18by Jamal, Zalifh“... of features and options classification, two different sets of selection criteria used by two machine learning...”
Published 2017
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20by Putra, Mohd Hasbullah“... processing field and has become the state-of-the-art in computer vision and machine learning. The traditional...”
Published 2021
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