A MULTIMODAL FEDERATED-LEARNING BASED FRAMEWORK FOR PEDESTRIAN BEHAVIOR UNDERSTANDING AND ROAD-BLOCKAGE ASSESSMENT UNDER ADVERSE CONDITIONS /
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Tác giả của công ty: | |
| Tác giả khác: | , |
| Định dạng: | Sách |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Dhaka :
CSE DEPT. MIST,
c2026.
|
| Những chủ đề: | |
| Các nhãn: |
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
Những quyển sách tương tự: 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