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Universitätsbibliographie

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Nr. Titel Autor Jahr
1 Monocular Depth Estimation with Edge-Based Constraints using Active Learning Optimization Saleh, Shadi 2024
2 Automated Identification of Wood Surface Defects Based on Deep Learning Besfort , Syla et al. 2023
3 Efficient Monocular Depth Estimation for Edge Computing Platforms Saleh, Shadi et al. 2023
4 Evaluation of YOLOv7 Deployment Performance on Various Platforms (CPUs, GPUs) and Strategies Fatima , Abouzid et al. 2023
5 Exploring SSD Detector for Power Line Insulator Detection on Edge Platform Harras, Mohamed Salim et al. 2023
6 Inference Analysis of Lightweight CNNs for Monocular Depth Estimation Saleh, Shadi* et al. 2023
7 Toward Accurate and Efficient Burn Marks Inspection for MAV Using Active Learning Saleh, Shadi* et al. 2023
8 Vision-based Propeller Damage Inspection Using Machine Learning Harras, Mohamed Salim* et al. 2023
9 Perception of 3D Scene Based on Depth Estimation and Point-Cloud Generation Saleh, Shadi* et al. 2022
10 Tree Detection and Localization Approach for UAV-based Forest Inspection Battseren, Batbayar* et al. 2022
11 Artificial Intelligence In Industrial Automation Saleh, Shadi et al. 2021
12 Lightweight Monocular Depth Estimation on Embedded Systems Srinivasan, Vishnuvarthanan et al. 2021
13 Parametric Study for Lightweight Monocular Depth Estimation Deep Neural Network Model Aly Moussa, Abeer et al. 2021
14 Robust Collision Warning System based on Multi Objects Distance Estimation Saleh, Hadi et al. 2021
15 Toward CNNs Visualization for Estimation Depth from Monocular Camera Dumbre, Shweta et al. 2021
16 Towards End-to-End Estimation of Camera Trajectory With Deep Monocular Visual Odometry Rajendra, Sanketh et al. 2021
17 Towards Robust Perception Depth Information For Collision Avoidance Saleh, Shadi et al. 2021
18 Towards Robust Perception Depth Information For Collision Avoidance Saleh, Shadi et al. 2021
19 Towards the Perception of Pedestrian Detection Using Vision Based System Nine, Julkar et al. 2021
20 Automotive II Saleh, Shadi et al. 2020
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