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Shaziayani W.N.
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Shaziayani W.N.
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Shaziayani W.N.
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1
Coupling of quantile regression into boosted regression trees (BRT) technique in forecasting emission model of PM10 concentration
由
Shaziayani
W.N
.; Ul-Saufie A.Z.; Ahmat H.; Al-Jumeily D.
發表在
Air Quality, Atmosphere and Health
(2021)
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2
Prediction of Daily Air Pollutants Concentration and Air Pollutant Index Using Machine Learning Approach
由
Mustakim N.A.
,
Ul-Saufie A.Z.
,
Shaziayani
W.N
.
,
Noor N.M.
,
Mutalib S.
發表在
Pertanika Journal of Science and Technology
(2023)
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3
A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
由
Shaziayani
W.N
.
,
Ahmat H.
,
Razak T.R.
,
Zainan Abidin A.W.
,
Warris S.N.
,
Asmat A.
,
Noor N.M.
,
Ul-Saufie A.Z.
發表在
Atmosphere
(2022)
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4
ENHANCING ECOSYSTEM BIODIVERSITY THROUGH AIR POLLUTION CONCENTRATIONS PREDICTION USING SUPPORT VECTOR REGRESSION APPROACHES
由
Solehah S.U.; Abidin A.W.Z.; Warris S.N.; Shaziayani W.N.; Osman B.M.; Ibrahim N.; Noor N.M.; Ul-Saufie A.Z.
發表在
International Journal of Conservation Science
(2023)
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5
Prediction of Air Pollution Index Using Internet of Things and Low-Cost Sensor Measurements: A Case Study in Shah Alam, Malaysia
由
Hazmir M.I.; Ul-Saufie A.Z.; Shaziayani W.N.; Abidin A.W.Z.; Warris S.N.; Sulong N.A.; Nadzir S.M.; Harb S.M.
發表在
Israa University Journal of Applied Science
(2023)
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