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width=\"822\"><strong>\u0e0a\u0e37\u0e48\u0e2d\u0e1c\u0e25\u0e07\u0e32\u0e19<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"48\">1<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">String Grammar Unsupervised Possibilistic Fuzzy C-Medians for Gait Pattern Classification in Patients with Neurodegenerative Diseases<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">2<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">A Novel String Grammar Unsupervised Possibilistic C-Medians in Sign Language Translation System<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">3<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Ellipsoidal Support Vector Data Description<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">4<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">A String Grammar Fuzzy-Possibilistic C-Medians<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">5<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Top-N Recommender Systems Using Genetic Algorithm-Based Visual Clustering Methods<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">6<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Automatic Cardiac T2* Relaxation Time Estimation from Magnetic Resonance Images Using Region Growing Method with Automatically Initialized Seed Points<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">7<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Instance Reduction for Supervised Learning Using Input-Output Clustering Method<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">8<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-cell Lymphomas Microarrays Classification<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">9<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Applying Memetic Algorithm-Based Clustering to Recommender System with High Sparsity Problem<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">10<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Automatic Cervical Cell Segmentation and Classification in Pap Smears<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">11<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Thai Sign Language Translation Using Scale Invariant Feature Transform and Hidden Markov Models<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">12<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Phoneme and Tonal Accent Recognition for Thai Speech<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">13<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Boundary Detection in Medical Images Using Edge Following Algorithm Based on Intensity Gradient and Texture Gradient Features<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">14<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Bone Age Assessment in Young Children using Automatic Carpal Bone Feature Extraction and Support Vector Regression<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">15<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Automatic Nevirapine Concentration Interpretation System Using Support Vector Regression<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">16<\/td>\n<td width=\"159\">\u0e1c\u0e25\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22<\/td>\n<td width=\"822\">Morphological Granulometric Features of Nucleus in Automatic Bone Marrow White Blood Cell Classification<\/td>\n<\/tr>\n<tr>\n<td width=\"48\">17<\/td>\n<td width=\"159\">\u0e15\u0e33\u0e23\u0e32\/\u0e2b\u0e19\u0e31\u0e07\u0e2a\u0e37\u0e2d<\/td>\n<td width=\"822\">\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2a\u0e31\u0e0d\u0e0d\u0e32\u0e13\u0e41\u0e25\u0e30\u0e20\u0e32\u0e1e\u0e14\u0e34\u0e08\u0e34\u0e17\u0e31\u0e25 : \u0e17\u0e24\u0e29\u0e0e\u0e35\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e43\u0e0a\u0e49 (Digital Signal and Image Processing : Theories and Applications)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e04\u0e13\u0e30\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e0a\u0e35\u0e22\u0e07\u0e43\u0e2b\u0e21\u0e48 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