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Found 25 papers, 6 papers with code
LLMs as Compiler for Arabic Programming Language
In this paper we introduce APL (Arabic Programming Language) that uses Large language models (LLM) as semi-compiler to covert Arabic text code to python code then run the code.
ArabianGPT: Native Arabic GPT-based Large Language Model
The predominance of English and Latin-based large language models (LLMs) has led to a notable deficit in native Arabic LLMs.
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.
Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil
The Red Palm Weevil (RPW) is a highly destructive insect causing economic losses and impacting palm tree farming worldwide.
Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics
The proposed system has the potential to enhance decision-making, reduce costs, and improve the capabilities of healthcare providers.
Humans are Still Better than ChatGPT: Case of the IEEEXtreme Competition
Since the release of ChatGPT, numerous studies have highlighted the remarkable performance of ChatGPT, which often rivals or even surpasses human capabilities in various tasks and domains.
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.
Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio
Specifically, this study investigates the use of Wi-Fi channel state information (CSI) as a novel method of ambient sensing that can be employed as a contactless means of recognizing human activity in indoor environments.
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.
Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing
This paper introduces a compound vision system that enables robots to localize people up to 15m away using a cheap camera.
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.
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.
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery
Recently, Convolutional Neural Networks (CNNs) have made a great performance for remote sensing image classification.
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
With the advancement in technology and the expansion of broadcasting, cross-media retrieval has gained much attention.
Deep-Learning-based Automated Palm Tree Counting and Geolocation in Large Farms from Aerial Geotagged Images
In this paper, we propose a deep learning framework for the automated counting and geolocation of palm trees from aerial images using convolutional neural networks.
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.
AI-based Pilgrim Detection using Convolutional Neural Networks
Then, we develop two convolutional neural networks based on YOLOv3 and Faster-RCNN for the detection of Pilgrims.
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.
