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241by Emmanue O.; Othman M.L.; Hizam H.; Othman M.M.; Aker E.; Okeke Chidiebere A.; Samuel T.N.“…. The supervised machine learning algorithm from Bayesian network classified 99.15 % faults correctly…”
Published in International Journal of Integrated Engineering (2019)
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242by Zakaria W.N.A.; Zahiruddin H.; Zukarnain Z.A.; Wijaya A.“… the recurrent themes linked to machine learning (ML) applications in genetic data analytics. Using relevant…”
Published in Rwanda Medical Journal (2024)
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243by Asmui M.; Zaki S.M.; Wahid S.N.S.; Mokhtar N.M.; Harith S.S.“… and littering behavior by using chi-square approach. © 2017 Author(s).…”
Published in AIP Conference Proceedings (2017)
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244by Ahmadipour M.; Murtadha Othman M.; Alrifaey M.; Bo R.; Kit Ang C.“…A novel intelligent scheme using the wavelet packet transform (WPT) and extreme learning machine…”
Published in Measurement: Journal of the International Measurement Confederation (2022)
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245“…, and academic requirements. This study presents a prediction model using Machine Learning techniques to assess…”
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246by Nazarudin N.A.S.M.; Ariffin N.H.M.; Maskat R.“…This study employs machine learning models to explore stock price prediction for Tenaga Nasional…”
Published in International Arab Journal of Information Technology (2024)
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247“… Model (MRL) and Machine Learning (ML) to fill the existing empirical gap. With MRL as the conventional…”
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249by Aminuddin R.; Bistamam M.A.; Ibrahim S.; Abu Mangshor N.N.; Fesol S.F.A.; Wahab N.I.F.A.“… on sentiment analysis using one of machine learning models that is Support Vector Machine (SVM…”
Published in 2021 IEEE 11th International Conference on System Engineering and Technology, ICSET 2021 - Proceedings (2021)
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250by Sahak R.; Lee Y.K.; Mansor W.; Zabidi A.; Yassin A.I.M.“… (252.5) and lesser MFC coefficients (14) than the DS-SVM approach, which implicates much reduced…”
Published in ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics (2011)
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252by Fatriansyah J.F.; Kustiyah E.; Surip S.N.; Federico A.; Pradana A.F.; Handayani A.S.; Jaafar M.; Dhaneswara D.“…The use of machine learning to fine-tune the properties of materials is a remarkable achievement…”
Published in Express Polymer Letters (2023)
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253by Halder B.; Ahmadianfar I.; Heddam S.; Mussa Z.H.; Goliatt L.; Tan M.L.; Sa’adi Z.; Al-Khafaji Z.; Al-Ansari N.; Jawad A.H.; Yaseen Z.M.“… was noticed high in Uttar Pradesh in 2020. These results indicate that air pollutant investigation is much…”
Published in Scientific Reports (2023)
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254by Alsehli, Mishal; Basem, Ali; Jasim, Dheyaa J.; Mausam, Kuwar; Alshamrani, Ali; Sultan, Abbas J.; Kassim, Murizah; Rajab, Husam; Musa, Veyan A.; Maleki, Hamid“… (RSM), computational fluid dynamics (CFD), and optimized machine learning (ML) models to analyze…”
Published in FUEL (2024)
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255by Amran A.A.; On C.K.; Karim S.A.A.; Hung L.P.; See C.S.; Simon D.; Rossdy M.; Jing C.“… machine learning algorithms. This research involves three key components: image processing, feature…”
Published in Journal of Advanced Research in Applied Sciences and Engineering Technology (2025)
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256by Alsehli M.; Basem A.; jasim D.J.; Mausam K.; Alshamrani A.; Sultan A.J.; Kassim M.; Rajab H.; Musa V.A.; Maleki H.“… (RSM), computational fluid dynamics (CFD), and optimized machine learning (ML) models to analyze…”
Published in Fuel (2024)
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257by Demong N.A.R.; Shahrom M.; Rahim R.A.; Omar E.N.; Yahya M.“… compare in terms of accuracy and reliability is explored using different machine learning algorithms using…”
Published in Journal of Information and Communication Technology (2023)
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258by Ghazali I.; Miskon M.F.; Razali A.; Hassan N.A.; Kasmuri N.; Ramli M.Z.; Yunus K.; Yusof F.; Faudzi F.“…Saccostrea cucullata, also known as rock oysters, are chosen as the targeted organisms on rocky…”
Published in International Journal of Environment and Pollution (2023)
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259“…Stochastic optimization in machine learning adjusts hyperparameters to reduce cost, which shows…”
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260by Hai T.; Alizadeh A.; Ali M.A.; Dhahad H.A.; Goyal V.; Mohammed Metwally A.S.; Ullah M.“…, and lower emission, the machine learning techniques are applied to optimize the operational conditions…”
Published in International Journal of Hydrogen Energy (2023)
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