Samankaltaisia teoksia: 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 /
Aihe: Computer Science and Engineering
- USER SESSION BASED AUTOMATED TEST CASE GENERATION USING NEUMATIC ALGORITHM /
- ROBUST OBJECT SEGMENTATION USING MODIFICATION OF CLASSICAL SPLIT AND MERGE ALGORITHM /
- A CLOUD-BASED MODEL FOR DEVELOPING E-COMMERCE APPLICATIONS IN CONTEXT OF BANGLADESH /
- CLOUD BASED APPLICATION SERVER FOR UNIVERSITIES : A NEW APPROACH /
- OPTIMIZING DIVIDE AND CONQUER BASED ALGORITHMS : THE CASE OF HEAPSORT /
- CLUSTERING AND ANT COLONY BASED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS /
Aihe: This Thesis Paper of CSE in BSc Program.
- 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 /
- 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 /
Tekijä: NASIF, ABDULLAH OMAR
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 /
- AN EFFICIENT TRANSFER LEARNING MODEL FOR PREDICTING FORGED (HANDWRITTEN) SIGNATURE /
- EXPLORING BATTLE-WINNING FACTORS FOR PREDICTING AND OPTIMIZING BATTLE OUTCOME THROUGH MACHINE LEARNING TECHNIQUE /
- BLOCKCHAIN BASED FRAMEWORK FOR PREVENTING MEDICINE COUNTERFEIT IN CONTEXT OF BANGLADESH /