Lignende værker: MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
- RETINAL OCT DISEASE DETECTION BY IMAGE-BASED DEEP LEARNING /
- PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
- COMPARATIVE RESULT ANALYSIS OF CAULIFLOWER DISEASE CLASSIFICATION BASED ON DEEP LEARNING APPROACH IN THE CONTEXT OF BANGLADESH /
- SKIN DISEASE DETECTION FROM IMAGES USING MACHINE LEARNING ALGORITHMS /
- MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION /
- DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /
Emne: Computer Science and Engineering
- CONVOLUTIONAL NEURAL NETWORK (CNN) FOR DETECTION OF PROSTATE CANCER USING CELL SLIDE IMAGES /
- DEVELOPMENT OF AN INNOVATIVE VOICE-OVER-GUIDED SYSTEM TO TEACH THE WRITING OF MULTILINGUAL ALPHABETS FOR VISUALLY-IMPAIRED PEOPLE /
- DESIGN A GUI BASED RADAR SIMULATOR TO VIEW REAL TIME OBJECT /
- A NOVEL HYBRID STEGANOGRAPHY TECHNIQUE WITH LSB SUBSTITUTION IN COLORED IMAGE BASED ON PATTERN MATCHING /
- EXPLORING NATURAL LIFE CONSERVATION USING MACHINE LEARNING AND IOT BASED SOUND CLASSIFICATION /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Emne: 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 /
Forfatter: NASIF, ABDULLAH OMAR
Forfatter: Supervised by Lt Col Muhammad Nazrul Islam
- 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 /
- AN EFFICIENT TRANSFER LEARNING MODEL FOR PREDICTING FORGED (HANDWRITTEN) SIGNATURE /