| 2008 |
|---|
| 14 | EE | Suwannee Phitakwinai,
Sansanee Auephanwiriyakul,
Nipon Theera-Umpon:
Thai Sign Language Translation Using Fuzzy C-Means and Scale Invariant Feature Transform.
ICCSA (2) 2008: 1107-1119 |
| 13 | EE | Nipon Theera-Umpon,
Sansanee Auephanwiriyakul,
Sitawit Suteepohnwiroj,
Jonglak Pahasha,
Kittichai Wantanajittikul:
River basin flood prediction using support vector machines.
IJCNN 2008: 3039-3043 |
| 2007 |
|---|
| 12 | EE | Sutasinee Thovutikul,
Sansanee Auephanwiriyakul,
Nipon Theera-Umpon:
Microcalcification Detection in Mammograms Using Interval Type-2 Fuzzy Logic System.
FUZZ-IEEE 2007: 1-5 |
| 11 | EE | Nipon Theera-Umpon:
Ionospheric F-Layer Critical Frequency Estimation from Digital Ionogram Analysis.
ICCSA (3) 2007: 190-200 |
| 10 | EE | Nipon Theera-Umpon,
Sompong Dhompongsa:
Morphological Granulometric Features of Nucleus in Automatic Bone Marrow White Blood Cell Classification.
IEEE Transactions on Information Technology in Biomedicine 11(3): 353-359 (2007) |
| 9 | EE | Nipon Theera-Umpon:
Unexploded Ordnance Detection Using Region of Interest in Range Domain of Ground Penetrating Radar.
JACIII 11(10): 1184-1188 (2007) |
| 2005 |
|---|
| 8 | EE | Nipon Theera-Umpon:
White Blood Cell Segmentation and Classification in Microscopic Bone Marrow Images.
FSKD (2) 2005: 787-796 |
| 2004 |
|---|
| 7 | | Pratit Santiprabhob,
Nipon Theera-Umpon,
Sansanee Auephanwiriyakul:
Special Issue on Selected Papers from InTech'03.
JACIII 8(6): 565- (2004) |
| 6 | EE | Sansanee Auephanwiriyakul,
Nipon Theera-Umpon:
Comparison of Linguistic and Regular Hard C-Means in Postoperative Patient Data.
JACIII 8(6): 599-605 (2004) |
| 5 | EE | Nipon Theera-Umpon,
Udomsak Boonprasert:
Leeway Prediction of Oceanic Disastrous Target via Support Vector Regression.
JACIII 8(6): 606-612 (2004) |
| 2003 |
|---|
| 4 | EE | Udomsak Boonprasert,
Nipon Theera-Umpon,
C. Rakpenthai:
Support vector regression based adaptive power system stabilizer.
ISCAS (3) 2003: 371-374 |
| 2002 |
|---|
| 3 | | Nipon Theera-Umpon,
Paul D. Gader:
System-level training of neural networks for counting white blood cells.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 32(1): 48-53 (2002) |
| 2001 |
|---|
| 2 | EE | Nipon Theera-Umpon,
Edward R. Dougherty,
Paul D. Gader:
Non-homothetic granulometric mixing theory with application to blood cell counting.
Pattern Recognition 34(12): 2547-2560 (2001) |
| 2000 |
|---|
| 1 | EE | Nipon Theera-Umpon,
Paul D. Gader:
Training Neural Networks to Count White Blood Cells via a Minimum Counting Error Objective Function.
ICPR 2000: 2299-2302 |
