A MULTIMODAL FEDERATED-LEARNING BASED FRAMEWORK FOR PEDESTRIAN BEHAVIOR UNDERSTANDING AND ROAD-BLOCKAGE ASSESSMENT UNDER ADVERSE CONDITIONS /
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| Hoofdauteur: | |
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| Andere auteurs: | , |
| Formaat: | Boek |
| Taal: | Engels |
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Dhaka :
CSE DEPT. MIST,
c2026.
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Gelijkaardige items: A MULTIMODAL FEDERATED-LEARNING BASED FRAMEWORK FOR PEDESTRIAN BEHAVIOR UNDERSTANDING AND ROAD-BLOCKAGE ASSESSMENT UNDER ADVERSE CONDITIONS /
- PEDESTRIAN PERCEPTION OF SAFETY IN MAJOR ARTERIAL ROAD IN DHAKA CITY/
- PREDICTING RISKY PEDESTRIAN AND DRIVER BEHAVIOR AT LEVEL CROSSING USING STRUCTURAL EQUATION MODELING /
- DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
- MULTIMODAL DEEP LEARNING FOR SOLAR PANEL CONDITION ASSESSMENT: A SENSOR-VISUAL FUSION APPROACH/
- MODELING FUNDAMENTAL DIAGRAM WITH EMPIRICAL TRAFFIC DATA UNDER DIFFERENT ROAD GEOMETRY AND TRAFFIC OPERATING CONDITIONS
- MODELING FUNDAMENTAL DIAGRAM WITH EMPIRICAL TRAFFIC DATA UNDER DIFFERENT ROAD GEOMETRY AND TRAFFIC OPERATING CONDITIONS