Samankaltaisia teoksia: MULTI-CNN STACKED FUSION FEATURE MODEL FOR IMAGE ALTERNATIVE TEXT GENERATION IN BENGALI /
- A MULTI-CNN FEATURE FUSION FRAMEWORK WITH CUSTOM CLASSIFICATION NETWORK FOR EFFICIENT SATELLITE IMAGE CLASSIFICATION /
- STACKED ATTENTION BASED DEEP LEARNING MODEL FOR VIDEO CAPTIONING IN BENGALI /
- DEVELOPMENT OF A CNN-MODEL BASED SYSTEM FOR RECOGNITION OF BANGLA HANDWRITTEN TEXT /
- AFFECTIVE STATE RECOGNITION THROUGH EEG SIGNALS FEATURE LEVEL FUSION AND ENSEMBLE CLASSIFIER /
- PERSIDANI FUSION: INVESTIGATING JAMDANI AND PERSIAN MOTIF FUSION THROUGH IMAGE PROCESSING,TRANSFER LEARNING, AND GAN /
- BIOMASS BRIQUETTE –AN ALTERNATIVE SOURCE OF ENERGY IN BANGLADESH /
Aihe: 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 /
Aihe: This Thesis Paper of CSE in BSc Program.
- A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
- Soldiers Yearly Planning Guide /
- 'MILBOT' - A SEMI-AUTONOMOUS MULTIPURPOSE ROBOT FOR MILITARY OPERATIONS /
- DESIGN AND DEVELOPMENT OF A TRANSFORMABLE MECHANISM FOR A TWO WHEELED MILITARY SURVEILLANCE ROBOT /
- AUTOMATION PROJECT FOR INVENTORY MANAGEMENT OF RATION TO INCLUDE DEMAND, COLLECTION OF FRESH AND DRY RATION AND GENERATION OF ASSOCIATED REPORTS /
- TOWARDS EVELOPING AN IMAGING APPLICATION TO AID PHYSICIANS ANALYZING MRI IMAGES OF BRAIN TUMOR: A MACHINE LEARNING APPROACH THROUGH COMPARATIVE ANALYSIS /
Tekijä: KAISER, SYED NAFEES
Tekijä: Supervised by Lt Col Muhammad Nazrul Islam
- USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
- DESIGN AND DEVELOPMENT OF AN ACOUSTIC VR GAME FOR VISUALLY IMPAIRED PEOPLE /
- EXPLORATION THE RELATIVE EFFECTIVENESS OF DESIGN METHODS TO DEVELOP USABLE E-TOURISM APPLICATIONS IN BANGLADESH /
- BLOCKCHAIN BASED FRAMEWORK FOR PREVENTING MEDICINE COUNTERFEIT IN CONTEXT OF BANGLADESH /
- PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
- AN ENSEMBLE-BASED ML MODEL TO PREDICT CARDIAC DISEASE /