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- RETINAL OCT DISEASE DETECTION BY IMAGE-BASED DEEP LEARNING /
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Тема: Computer Science and Engineering
- IMPLEMENTA OF GENOME TRANSPOSITION IN GRIMM /
- FUSION OF FINGERPRINT AND HEARTBEAT BIO METRICS FOR SECURITY ENHANCEMENT /
- ANALYSIS OF MULTIPLICATION BASED ALGORITHMS /
- PREDICTION OF URINARY TRACT INFECTIONS USING HMM
- MOBILE VIDEO TRANSMITTING ROBOT /
- PARAMETRIC STUDY OF STUDENT LEARNING IN IT USING DATA MINING
Тема: 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 /
Автор: NASIF, ABDULLAH OMAR
Автор: 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 /