Documenti analoghi: USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
- EXPLORATION THE RELATIVE EFFECTIVENESS OF DESIGN METHODS TO DEVELOP USABLE E-TOURISM APPLICATIONS IN BANGLADESH /
- DESIGN AND DEVELOPMENT OF A MULTI-CHANNEL MILITARY APPLICATION USING INTERACTIVE DIALOGUE MODEL (IDM) PROVIDING ENHANCED USABILITY /
- DESIGN AND DEVELOPMENT OF A MOBILE APPLICATION FOR SEARCHING JOB FOCUSING ON ILLITERATE PEOPLE OF BANGLADESH: TOWARDS REDUCING THE DIGITAL DIVIDE IN DEVELOPING COUNTRIES /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
- PERFORMANCE ANALYSIS OF PATH PLANNING ALGORITHMS FOR MOBILE ROBOT NAVIGATION BASED ON A GRAPHICAL SIMULATION PLATFORM /
- EXPLORING AND ANALYZING THE DESIGN METHODOLOGIES FOR DEVELOPING MULTI-CHANNEL E-GOVERNMENT WEBSITES: TOWARDS IMPROVING THE USABILITY OF E-GOVERNMENT WEBSITES OF BANGLADESH /
Soggetto: Computer Science and Engineering.
Soggetto: This Thesis Paper of CSE in M.Sc. Program.
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
- EXTENDED THUMB IMPRESSION BASED SOFTWARE APPLICATION FOR SECURE DIGITAL IMAGE TRANSMISSION /
- DESIGN AND DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE BASED ONLINE BANKING PORTAL /
- DETECTION OF MISSING REGIONS AND SELECTION OF K-MER LENGTHS FOR ALIGNMENT FREE PHYLOGENTIC ANALYSIS /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Autore: Kabir, Md Lutful
Autore: 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 /