Míreanna comhchosúla: AN EMPIRICAL STUDY OF EXPLORE THE HEALTH IMPACTS OF POST COVID-19 /
- SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /
- LOCATION BASED SENTIMENT ANALYSIS ON COVID-19 VACCINE TWITTER DATA USING NEURAL NETWORK MODELS /
- MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
- A REVIEW ON COVID-19: WASTE MANAGEMENT IN BANGLADESH /
- DETECTING LUNG FIBROSIS IN POST COVID PATENT BY USING TPIM AND FIM /
- EXPLORING THE VULNERABILITIES OF WORDPRESS LOGIN AND SECURITY PLUGIND /
Topaic: Computer Science and Engineering Engineering
- DESIGN OF AN E-HEALTH SYSTEM AND IMPLEMENTION OF FILE TRANSFER SYSTEM /
- LEAF DISEASE DETECTION BASED ON GENERATIVE ADVERSARIAL NETWORK /
- DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
- DEVELOPING A DEEP LEARNING-BASED AR SHOE TRY-ON APP WITH 3D SHOE MODELING FROM SMARTPHON IMAGES /
- DEVELOPMENT OF A SMART UNIT ADMINISTRATION MANAGEMENT SYSTEM /
- APPLICATION OF GRAPH COLORING ALGORITHM IN UNIVERSITY COURSE SCHEDULING /
Topaic: This Thesis Paper of CSE in B.Sc. Program.
- AI BASED AUTOMATED ANNUAL ASSESSMENT SYSTEM FOR SOLDIERS OF BD ARMY /
- AN EFFICIENT TRANSFER LEARNING MODEL FOR PREDICTING FORGED (HANDWRITTEN) SIGNATURE /
- DEVELOPMENT OF A SECURED WEB BASED UNIVERSITY TRANSACTION SYSTEM FOR MIST STUDENTS USING DIGITAL TOKEN /
- MILITARY VEHICLE SURVEILLANCE SYSTEM /
- STRESS CLASSIFICATION USING NEUROPHYSIOLOGICAL FEATURE THROUGH UNSUPERVISED MACHINE LEARNING TECHNIQUE /
- ULASS-UNIT LEVEL APPRAISAL SUPPORT SYSTEM /