359 citations · 393 across the 16 of their papers we have counts for
16 papers
AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations
Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib +1
We introduce AraMS-28k, the largest publicly released line-level dataset of genuine historical Arabic manuscripts, comprising 14 books, 3,043 pages, and 28,600 annotated text lines…
RefLAM: A Reference-Grounded Line Annotation Pipeline for Historical Arabic Manuscripts
Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib +1
Existing approaches to building line-level Arabic handwritten-text-recognition (HTR) training data either rely on fully manual annotation, which does not scale, or on automatic OCR…
Auditing Medical Vision-Language Models on Chest Radiographs: Estimating Reference Agreement Across Institutions
Pengyang Yu, Yiou Wang, Zhongping Dong +3
Vision-language models return structured chest-radiograph findings through interfaces exposing no confidence score, so a receiving institution cannot read off how far to trust an i…
IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning
Soufiane Bacha, Laouni Djafri, Sahraoui Dhelim +1
Class imbalance, overlap, and noise degrade data quality, reduce model reliability, and limit generalization. Although widely studied in binary classification, these issues remain…
MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
Pengyang Yu, Haoquan Wang, Gerard Marks +4
Accurate skin-lesion segmentation remains a key technical challenge for computer-aided diagnosis of skin cancer. Convolutional neural networks, while effective, are constrained by…
AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space
Amar Khelloufi, Huansheng Ning, Sahraoui Dhelim +1
The integration of the Internet of Everything (IoX) and Artificial General Intelligence (AGI) has given rise to a transformative paradigm aimed at addressing critical bottlenecks a…
A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis
Soufiane Bacha, Huansheng Ning, Belarbi Mostefa +2
Accurate illness diagnosis is vital for effective treatment and patient safety. Machine learning models are widely used for cancer diagnosis based on historical medical data. Howev…
Machine Learning for Dynamic Management Zone in Smart Farming
Chamil Kulatunga, Sahraoui Dhelim, Tahar Kechadi
Digital agriculture is growing in popularity among professionals and brings together new opportunities along with pervasive use of modern data-driven technologies. Digital agricult…
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
Zita Lifelo, Huansheng Ning, Sahraoui Dhelim
Timely identification is essential for the efficient handling of mental health illnesses such as depression. However, the current research fails to adequately address the predictio…
Maximizing UAV Fog Deployment Efficiency for Critical Rescue Operations
Abdenacer Naouri, Huansheng Ning, Nabil Abdelkader Nouri +5
In disaster scenarios and high-stakes rescue operations, integrating Unmanned Aerial Vehicles (UAVs) as fog nodes has become crucial. This integration ensures a smooth connection b…
Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
Abdelkarim Ben Sada, Amar Khelloufi, Abdenacer Naouri +2
The recent advancements in small-size inference models facilitated AI deployment on the edge. However, the limited resource nature of edge devices poses new challenges especially f…
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation
Nyothiri Aung, Tahar Kechadi, Liming Chen +1
CNNs have been widely applied for medical image analysis. However, limited memory capacity is one of the most common drawbacks of processing high-resolution 3D volumetric data. 3D…
Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
Sahraoui Dhelim, Liming Chen, Huansheng Ning +1
Death by suicide is the seventh leading death cause worldwide. The recent advancement in Artificial Intelligence (AI), specifically AI applications in image and voice processing, h…
A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges
Huansheng Ning, Hang Wang, Yujia Lin +5
Metaverse is a new type of Internet application and social form that integrates a variety of new technologies. It has the characteristics of multi-technology, sociality, and hyper…
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
Nyothiri Aung, Sahraoui Dhelim, Liming Chen +3
Vehicular social networking is an emerging application of the promising Internet of Vehicles (IoV) which aims to achieve the seamless integration of vehicular networks and social n…
A Tutorial of Cyber-Syndrome viewed from Cyber-Physical-Social-Thinking Space and Maslow's Hierarchy of Needs
Feifei Shi, Huansheng Ning, Sahraoui Dhelim
With the increase of active Internet users, various physical, social, and mental disorders have recently emerged because of the excessive use of technology. Cyber-Syndrome is known…