Lignende værker: FLOOD DATA ANALYSIS USING SUPERVISED CLUSTERING AND SEMI-SUPERVISED LEARNING /
- BEHAVIOR ANALYSIS OF MOBILE NETWORK TRAFFIC AND BOTNET IDENTIFICATION USING SUPERVISED LEARNING /
- Supervision : concepts and skill building /
- BI-LEVEL GATED UNET FOR POLYP SEGMENTATION WITH ADVERSARIAL RESILIENCE AND SEMI-SUPERVISED LEARNING /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- ADVERSARIAL-AWARE BI-LEVEL UNET AND SEMI-SUPERVISED LEARNING FOR ENHANCING SKIN LESION SEGMENTATION /
- EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
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: BELAL, RUBABA HADIEL
Forfatter: Supervised by Nusrat Sharmin
- LEAF DISEASE DETECTION BASED ON GENERATIVE ADVERSARIAL NETWORK /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
- TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
- RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
- METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /