no code implementations • 24 Mar 2024 • Serry Sibaee, Omar Najar, Lahouri Ghouti, Anis Koubaa
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.
no code implementations • 23 Feb 2024 • Anis Koubaa, Adel Ammar, Lahouari Ghouti, Omar Najar, Serry Sibaee
The predominance of English and Latin-based large language models (LLMs) has led to a notable deficit in native Arabic LLMs.
no code implementations • 16 Oct 2023 • Adel Ammar, Anis Koubaa, Bilel Benjdira, Omar Najar, Serry Sibaee
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.
no code implementations • 27 Sep 2023 • Bilel Benjdira, Anas M. Ali, Anis Koubaa
Image Restoration has seen remarkable progress in recent years.
no code implementations • 21 Sep 2023 • Sawsan AlHalawani, Bilel Benjdira, Adel Ammar, Anis Koubaa, Anas M. Ali
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.
no code implementations • 30 Aug 2023 • Wadii Boulila, Ayyub Alzahem, Anis Koubaa, Bilel Benjdira, Adel Ammar
The third step involves the application of different Deep Learning (DL) techniques to classify resulting images into two classes: infested and not infested.
1 code implementation • 22 Aug 2023 • Bilel Benjdira, Anis Koubaa, Anas M. Ali
ROSGPT_Vision allows the execution of a robotic task using only two prompts: a Visual and an LLM prompt.
no code implementations • 29 Jun 2023 • Yosra Hajjaji, Ayyub Alzahem, Wadii Boulila, Imed Riadh Farah, Anis Koubaa
The Red Palm Weevil (RPW) is a highly destructive insect causing economic losses and impacting palm tree farming worldwide.
no code implementations • 12 May 2023 • Ayyub Alzahem, Shahid Latif, Wadii Boulila, Anis Koubaa
The proposed system has the potential to enhance decision-making, reduce costs, and improve the capabilities of healthcare providers.
no code implementations • 10 May 2023 • Anis Koubaa, Basit Qureshi, Adel Ammar, Zahid Khan, Wadii Boulila, Lahouari Ghouti
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.
no code implementations • 26 Apr 2023 • Bilel Benjdira, Anas M. Ali, Anis Koubaa
For this kind of image, the model needs to work on a downscaled version of the image or on cropped patches from it.
no code implementations • 18 Apr 2023 • Muhammad Zakir Khan, Jawad Ahmad, Wadii Boulila, Matthew Broadbent, Syed Aziz Shah, Anis Koubaa, Qammer H. Abbasi
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.
1 code implementation • 1 Mar 2023 • Bilel Benjdira, Anis Koubaa, Ahmad Taher Azar, Zahid Khan, Adel Ammar, Wadii Boulila
Fifth, TAU has a fully independent algorithm for crossroad arbitration based on the data gathered from the different zones surrounding it.
no code implementations • 14 Jul 2022 • Serge Saaybi, Amjad Yousef Majid, R Venkatesha Prasad, Anis Koubaa, Chris Verhoeven
This paper introduces a compound vision system that enables robots to localize people up to 15m away using a cheap camera.
no code implementations • 15 Mar 2022 • Wadii Boulila, Adel Ammar, Bilel Benjdira, Anis Koubaa
In this paper, we propose privacy-preserving deep learning (PPDL)-based approach to secure the classification of Chest X-ray images.
no code implementations • 15 Mar 2022 • Bilel Benjdira, Anis Koubaa, Wadii Boulila, Adel Ammar
With the number of vehicles continuously increasing, parking monitoring and analysis are becoming a substantial feature of modern cities.
no code implementations • 10 May 2021 • Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa, Nesrine Atitallah, Henda Ben Ghézala
Recently, Convolutional Neural Networks (CNNs) have made a great performance for remote sensing image classification.
no code implementations • 21 Jul 2020 • Sadaqat ur Rehman, Muhammad Waqas, Shanshan Tu, Anis Koubaa, Obaid ur Rehman, Jawad Ahmad, Muhammad Hanif, Zhu Han
With the advancement in technology and the expansion of broadcasting, cross-media retrieval has gained much attention.
no code implementations • 11 May 2020 • Adel Ammar, Anis Koubaa
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.
1 code implementation • 18 Apr 2020 • Alam Noor, Bilel Benjdira, Adel Ammar, Anis Koubaa
In this paper, we propose a new anomaly detection framework applied to the detection of aggressive driving behavior.
no code implementations • 18 Nov 2019 • Marwa Ben Jabra, Adel Ammar, Anis Koubaa, Omar Cheikhrouhou, Habib Hamam
Then, we develop two convolutional neural networks based on YOLOv3 and Faster-RCNN for the detection of Pilgrims.
no code implementations • 11 Nov 2019 • Anis Koubaa, Adel Ammar, Bilel Benjdira, Abdullatif Al-Hadid, Belal Kawaf, Saleh Ali Al-Yahri, Abdelrahman Babiker, Koutaiba Assaf, Mohannad Ba Ras
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.
1 code implementation • 16 Oct 2019 • Adel Ammar, Anis Koubaa, Mohanned Ahmed, Abdulrahman Saad, Bilel Benjdira
In this paper, we address the problem of car detection from aerial images using Convolutional Neural Networks (CNN).
1 code implementation • 8 May 2019 • Bilel Benjdira, Yakoub Bazi, Anis Koubaa, Kais Ouni
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.
1 code implementation • 28 Dec 2018 • Bilel Benjdira, Taha Khursheed, Anis Koubaa, Adel Ammar, Kais Ouni
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.