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Found 14 papers, 6 papers with code
Prediction of Arabic Legal Rulings using Large Language Models
Furthermore, we show that all scores except human evaluation are inconsistent and unreliable for assessing the performance of large language models on court decision predictions.
Guided Frequency Loss for Image Restoration
Image Restoration has seen remarkable progress in recent years.
License Plate Super-Resolution Using Diffusion Models
By training this model using a curated dataset of Saudi license plates, both in low and high resolutions, we discovered the diffusion model's superior efficacy.
Early Detection of Red Palm Weevil Infestations using Deep Learning Classification of Acoustic Signals
The third step involves the application of different Deep Learning (DL) techniques to classify resulting images into two classes: infested and not infested.
ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts
ROSGPT_Vision allows the execution of a robotic task using only two prompts: a Visual and an LLM prompt.
Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing
For this kind of image, the model needs to work on a downscaled version of the image or on cropped patches from it.
TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems
Fifth, TAU has a fully independent algorithm for crossroad arbitration based on the data gathered from the different zones surrounding it.
Parking Analytics Framework using Deep Learning
With the number of vehicles continuously increasing, parking monitoring and analysis are becoming a substantial feature of modern cities.
Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach
In this paper, we propose privacy-preserving deep learning (PPDL)-based approach to secure the classification of Chest X-ray images.
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture
In this paper, we propose a new anomaly detection framework applied to the detection of aggressive driving behavior.
Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning
However, for several people, these postures are not correctly performed, due to being new to Salat or even having learned prayers in an incorrect manner.
Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
In this paper, we address the problem of car detection from aerial images using Convolutional Neural Networks (CNN).
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
This is due to the domain shift between the source dataset on which the model is trained and the new target domain of the new city images.
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
In this paper, we investigate the performance of two state-of-the-art CNN algorithms, namely Faster R-CNN and YOLOv3, in the context of car detection from aerial images.
