Benzer Materyaller: ENSEMBLE LEARNING IN CYBERBULLYING DETECTION USING TRANSFORMER MODELS: A MULTILINGUAL AND EXPLAINABLE AI APPROACH /
- DETECTION AND PREVENTION OF CYBERBULLYING FROM SOCIAL MEDIA BY EXPLORING MACHINE LEARNING ALGORITHMS /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
- EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
- MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
Konu (Topic): 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 /
Konu (Topic): 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 /
Yazar: ABDULLAH, AHMAD
Yazar: Supervised by Fernaz Narin Nur
- HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
- ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
- DEVELOPMENT OF A CNN-MODEL BASED SYSTEM FOR RECOGNITION OF BANGLA HANDWRITTEN TEXT /
- ENSEMBLE LEARNING IN CYBERBULLYING DETECTION USING TRANSFORMER MODELS: A MULTILINGUAL AND EXPLAINABLE AI APPROACH /