Míreanna comhchosúla: HANDWRITTEN BANGLA VOWEL CHARACTER RECOGNITION
- BANGLA CHARACTER RECOGNITION USING ARTIFICAL NEURAL NETWORK STEP : FEATURE SELECTION /
- BANGLA CHARACTER RECOGNITION USING ARTIFICAL NEURAL NETWORK STEP: CLASSIFIER DESIGN /
- DEVELOPMENT OF A CNN-MODEL BASED SYSTEM FOR RECOGNITION OF BANGLA HANDWRITTEN TEXT /
- INTERACTIVE HANDWRITTEN BANGLA DIGIT RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK /
- ROTATION INVARIANT SEGMENTATION OF BANGLA CHARACTERS /
- DEVELOPING VEHICLE PARKING SYSTEM BY AUTOMATIC NUMBER PLATE RECOGNITION USING OPTICAL CHARACTER RECOGNITION USING OPTICAL CHARACTER RECOGNITION TECHNOLOGY /
Topaic: Thesis paper of CSE in B.Sc.program
Topaic: Computer Science and Engineering
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- MOBILE VIDEO TRANSMITTING ROBOT /
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
- MULTI LAYER NEURAL NETWORK BASED AUTOMATIC WORD RECOGNITION FOR BANGLA SPOKEN LANGUAGE /
- INTER WORD SEMANTIC AND STRING DISTANCE USING ONTOLOGICAL TECHNIQUES /
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /