| ลำดับ | รายละเอียดผลงาน | ||
|---|---|---|---|
| 1 | A comparison of multiple linear regression and random forest for community concern of youth and young adults survey NURIN DUREH : 80% ATTACHAI UERANANTASUN : 10%,ATTACHAI UERANANTASUN : 10% (2022). Songklanakarin Journal of Science and Technology, 44(2), 481-487. Quartile: Q3 | ||
| 2 | Performance of a Loan Repayment Status Model Using Machine Learning ANON MUEANKOO : 50% MAYUENING ESO : 25%,SALANG MUSIKASUWAN : 25% (2022). Institute of Electrical and Electronics Engineers, -(-), 1-4. | ||
| 3 | The Unrest Situation in The Southernmost Provinces of Thailand from 2004-2018 AHAMAPEESEE DUEREH : 40% MAYUENING ESO : 30%,RHYSA MCNEIL : 30% (2022). Thai Journal of Mathematics, -(Special Is), 17-26. Quartile: Q4 | ||
| 4 | Opinions of Children and Youth in the 3 Southern Border Provinces on Their Livelihoods in the Current Situation MAYUENING ESO : 30% RHYSA MCNEIL : 30%,WANDEE WANISHSAKPONG : 30%,NICHAPON CHINBUATONG : 10% (2021). Journal of Mathematical and Computational Science, 11(4), 4905-4916. Quartile: Q4 | ||
| 5 | Statistical Modelling of 3-Hourly Wind Patterns in Melbourne, Australia MAYUENING ESO : 50% PRASHANTH GURURAJA : 10%,RHYSA MCNEIL : 40% (2021). Nature Environment and Pollution Technology, 20(2), 665-673. Quartile: Q4 | ||
| 6 | Can crude oil prices predict world tuna prices?
MAYUENING ESO : 50% MAYUENING ESO : 50%,DONALD ROY : 5%,BOONMEE LEE : 40% (2020). Songklanakarin Journal of Science and Technology, 42(6), 1221-1226. Quartile: Q3 | ||
| 7 | Factors Associated with Severe Violent Events in the Southernmost Provinces of Thailand. Advances and Applications in Statistics MAYUENING ESO : 50% RHYSA MCNEIL : 25%,ABDUNFATAH MASAMAE : 25% (2020). na, 63(1), 59-74. | ||
| 8 | Modelling of Chlorophyll-a Concentration Patterns from Satellite Data Using Cubic Spline Function in Pattani Bay, Thailand ATTACHAI UERANANTASUN : 25% PHATTRAWAN TONGKUMCHUM : 25%,MAYUENING ESO : 25%,PRATISTHA SHARMA : 25% (2019). Nature Environment and Pollution Technology, 18(3), 1053-1062. Quartile: Q4 | ||
| 9 | Predictive Models for Classifying the Outcomes of Violence: Case Study for Thailand?s Deep South BUNJIRA MAKOND : 90% MAYUENING ESO : 10% (2019). Advances in Decision Sciences, 23(3), 1-36. Quartile: Q4 | ||
| 10 | Statistical modelling of 5-day average rainfall in Australia during 1950-2013 BRIGHT EMMANUEL : 40% RHYSA MCNEIL : 30%,MAYUENING ESO : 30% (2019). Songklanakarin Journal of Science and Technology, 41(4), 870-878. Quartile: Q3 | ||
| 11 | Attitude and Management of Second-Hand Products in Developing Countries METTA KUNING : 0% SARAWUTH CHESOH : 40%,MAYUENING ESO : 40%,KUNWADEE SRISUAN : 5%,MUHAMAD RIFKI TAUFIK : 5%,PRATISTHA SHARMA : 5%,SUPAPORN PANATNACHEE : 5% (2018). Academic Services Journal Prince of Songkla University, 29(3), 162-169. Quartile: Q1 | ||
| 12 | FACTORS RELATED TO SUCCESSFUL RETURN TO WORK FOLLOWING MULTIDISCIPLINARY REHABILITATION HALIMAH AWANG : 40% LIH YOONG TAN : 20%,NORMA MANSOR : 20%,PHATTRAWAN TONGKUMCHUM : 10%,MAYUENING ESO : 10% (2017). JOURNAL OF REHABILITATION MEDICINE, 49(6), 520-525. Quartile: Q2 | ||
| 13 | Risk Factors for Mortality among Victims of Provincial Unrest in Southern Thailand BUSABAN CHIRTKIATSAKUL : 70% METTA KUNING : 10%,NITTAYA MCNEIL : 10%,MAYUENING ESO : 10% (2014). na, 35(-), 84-91. | ||
| รวม 13 รายการ | |||
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