| ลำดับ | รายละเอียดผลงาน | ||
|---|---|---|---|
| 1 | Impact of air pollution on cardiorespiratory morbidities in Southern Thailand SUHAIMEE BUYA : 35% APIRADEE SAE LIM : 35%,RATTIKAN SAELIM : 10%,SALANG MUSIKASUWAN : 10%,THITIWORN CHOOSONG : 10%,NUTTA TANEEPANICHSKUL : 5% (2024). Clinical Epidemiology and Global Health, 25(-), 101501-101501. Quartile: Q2 | ||
| 2 | A Comparative Study on Vehicle Physical Appearance Identification using Transfer Learning Methods KWANKAMON DITTAKAN : 40% KAHABODEE PRAKOBCHAT : 50%,SALANG MUSIKASUWAN : 10% (2023). ENGINEERING ACCESS, 9(2), 154-167. Quartile: Q4 | ||
| 3 | An Investigation of the Predicting Model for Daily Temperature in the Capital of Laos RATTIKAN SAELIM : 30% SALANG MUSIKASUWAN : 30%,SANTHANA CHAIMONTREE : 5%,KRIANGSAK DAMCHOOM : 5%,RUSMA KHALENG : 30% (2022). Thai Journal of Mathematics, 2022(Special Is), 135-145. Quartile: Q4 | ||
| 4 | Daily Temperature Predictive Model and Trend Analysis in Yangon, Myanmar Over 25 Years SALANG MUSIKASUWAN : 30% MARINEE UMA : 30%,RATTIKAN SAELIM : 30%,KRIANGSAK DAMCHOOM : 5%,SANTHANA CHAIMONTREE : 5% (2022). Thai Journal of Mathematics, 2022(Special Is), 146-156. Quartile: Q4 | ||
| 5 | Land Surface Temperature Prediction in Chiang Mai Province Thailand Using MODIS LST Data SALANG MUSIKASUWAN : 30% KHODEEYOH KASOH : 40%,RATTIKAN SAELIM : 30% (2022). Thai Journal of Mathematics, 2022(Special Is), 106-116. Quartile: Q4 | ||
| 6 | Land Surface Temperature Variation in Bangkok Metropolitan Area, Thailand, During 2001-2020 RATTIKAN SAELIM : 30% SALANG MUSIKASUWAN : 30%,NASUHA CHETAE : 40% (2022). Thai Journal of Mathematics, 2022(Special Is), 117-126. Quartile: Q4 | ||
| 7 | 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. | ||
| 8 | การพัฒนาโปรแกรมการทดสอบแบบปรับเหมาะด้วยคอมพิวเตอร์ สำหรับสมรรถนะครูด้านการวิจัยเพื่อพัฒนาการเรียนรู้ นาปีซะห์ นาปีซะห์ : 30% JIRAWAT TANSAKUL : 25%,MAHDEE WAEDRAMAE : 15%,SALANG MUSIKASUWAN : 15%,KRIANGSAK DAMCHOOM : 15% (2022). วารสารศึกษาศาสตรร์ มหาวิทยาลัยสงขลานครินทร์ วิทยาเขตปัตตานี, 13(3), 214-225. Quartile: Q1 | ||
| 9 | Diabetic Retinopathy Detection using Convolutional Neural Network: A Comparative Study on Different Architectures KWANKAMON DITTAKAN : 45% TASSANEE HATTIYA : 50%,SALANG MUSIKASUWAN : 5% (2021). Mahasarakham International Journal of Engineering Technology, 7(1), 50-60. Quartile: Q2 | ||
| 10 | Flood-Modeling and Risk Map Simulation for Mae Suai
Dam-Break, Northern Thailand ANURAK BUSAMUN : 50% SOMPORN CHUAI-AREE : 25%,SALANG MUSIKASUWAN : 25%,RHYSA MCNEIL : 25% (2021). Pertanika Journal of Science and Technology, 29(1), 663-676. Quartile: Q4 | ||
| 11 | Forecasting Indonesia Stock Exchange (IDX) Composite Using Fuzzy Time Series Methods SALANG MUSIKASUWAN : 70% TRI WIJAYANTI SEPTIARINI : 30% (2020). na, 5(3), 1349-1356. | ||
| 12 | Land Surface Temperature Changes in Songkhla, Thailand from 2001 to 2018 RATTIKAN SAELIM : 50% SALANG MUSIKASUWAN : 30%,NASUHA CHETAE : 20% (2020). na, 28(3), 39-45. Quartile: Q2 | ||
| 13 | Statistical Analysis of Solar Radiation in Southern Thailand RHYSA MCNEIL : 30% SOMPORN CHUAI-AREE : 30%,SALANG MUSIKASUWAN : 30%,EMMANUEL OWUSU BRIGHT : 10% (2019). Nature Environment and Pollution Technology, 18(2), 543-548. Quartile: Q4 | ||
| 14 | Investigating the performance of ANFIS model to predict the hourly
temperature in Pattani, Thailand TRI WIJAYANTI : 50% SALANG MUSIKASUWAN : 50% (2018). na, 1097(012085), 1-10. Quartile: Q3 | ||
| รวม 14 รายการ | |||
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