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Found 12 papers, 2 papers with code
Wing Optimisation for a tractor propeller driven Micro Aerial Vehicle
Thus, compared to the control wing $W_0$ (with operating point at $C_L$ =0. 7) used in the preliminary design, permitting a variation of $C_L$ over a range of $\pm$ 10% is shown to enhance the endurance of wing $W_4$ by 18. 6%, and of wing $W_{6}$ with a permitted $C_L$ range of $\pm$ 50% by 39. 2%.
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
To address the hurdles faced by existing robotic couriers, this paper introduces a customer-centric and safety-conscious LMD system for small urban communities based on AI-assisted autonomous delivery robots.
Chest ImaGenome Dataset for Clinical Reasoning
Despite the progress in automatic detection of radiologic findings from chest X-ray (CXR) images in recent years, a quantitative evaluation of the explainability of these models is hampered by the lack of locally labeled datasets for different findings.
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision.
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development
We report deep learning experiments that utilize the attention maps produced by eye gaze dataset to show the potential utility of this data.
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens
We find that changes in convective cloud activity across India most commonly occur due to the establishment of a north-south OLR gradient which persists for 1-2 days and shifts the convective cloud cover from light to deep or vice versa.
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
Deep learning has now become the de facto approach to the recognition of anomalies in medical imaging.
Chest X-ray Report Generation through Fine-Grained Label Learning
Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals.
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays
Central venous catheters (CVCs) are commonly used in critical care settings for monitoring body functions and administering medications.
Age prediction using a large chest X-ray dataset
Age prediction based on appearances of different anatomies in medical images has been clinically explored for many decades.
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
The use of imitation learning to learn a single policy for a complex task that has multiple modes or hierarchical structure can be challenging.
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
There are total M+1 (M is the number of modalities) components in the proposed network.
