Documenti analoghi: PREDICTING PM2.5 CONCENTRATION VIA AN ATTENTION ENHANCED CONVOLUTIONAL BILSTM MODEL WITH TEMPORAL FEATURE ANALYSIS /
Soggetto: Computer Science and Engineering.
- APPLICATION OF MACHINE LEARNING IN SORTING NANO PARTICLES CHARACTERIZED BY OPTICAL FORCE /
- ACQUISITION & ANALYSIS OF TIME DOMAIN RAW DATA TO DEVELOP A GRAPHICAL USER INTERFACE FOR DESIGNING & FABRICATION OF A PROTOTYPE OF LOW - COST PHASED ARRAY RADAR /
- A SERVER CLIENT BASED MULTI CHANNEL DATABASE MODEL IN RECORD KEEPING OF MESS MANAGEMENT SYSTEM /
- AFFECTIVE STATE RECOGNITION THROUGH EEG SIGNALS FEATURE LEVEL FUSION AND ENSEMBLE CLASSIFIER /
- RESEARCH ON FREQUENTLY USED ROUTING PROTOCOLS FOR MOBILE AD-HOC NETWORK IN NETWORK AND COMMUNICATION /
- INTERACTIVE HANDWRITTEN BANGLA DIGIT RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK /
Soggetto: This Thesis Paper of CSE in B.Sc Program.
- EXPLAINABLE AI-BASED COMPARATIVE ANALYSIS OF TRANSFORMER MODELS FOR MISINFORMATION AND DISINFORMATION DETECTION /
- AI-ENHANCED COMPLAINT MANAGEMENT SYSTEM FOR GOVERNMENT MARKETPLACES /
- REAL VS FAKE IMAGE DETECTION USING A HYBRID CNN-TRANSFORMER ARCHITECTURE /
- REINFORCEMENT LEARNING-DRIVEN AUTONOMOUS DRONES FOR VICTIM DETECTION AND RESCUE IN SIMULATED DISASTER ENVIRONMENTS /
- AIRALERTBD: HYPERPARAMETER-OPTIMIZATION AND EXPLAINABILITY BASED AIR QUALITY INDEX TIME-SERIES FORECASTING AND MOBILE-APPLICATION DEVELOPMENT FOR BANGLADESH /
- BANGLA RESUME RANKING USING TRANSFORMER-BASED HYBRID SCORING MODEL AND EXPLAINABLE AI /