Documenti analoghi: 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 /
Soggetto: 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 /
Soggetto: This Thesis Paper of CSE in B.Sc. Program.
- SIMULATING USER BEHAVIOR TO EVALUATE THE NAVIGABILITY OF WEBSITES THROUGH ARTIFICIAL INTELLIGENCE /
- PERSIDANI FUSION: INVESTIGATING JAMDANI AND PERSIAN MOTIF FUSION THROUGH IMAGE PROCESSING,TRANSFER LEARNING, AND GAN /
- FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
- A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /
- AUTOMATED AIRCRAFT MANAGEMENT SYSTEM WITH ADVANCED ACCIDENT PREDICTION USING MACHINE LEARNING /
- A WEB-BASED APPLICATION FOR AUTOMATING THE REPAIR AND ISSUANCE PROCESS OF SIGNAL EQUIPMENT /