Search Results for author: Somaya Al-Maadeed

Found 13 papers, 2 papers with code

Classification of Dysarthria based on the Levels of Severity. A Systematic Review

no code implementations11 Oct 2023 Afnan Al-Ali, Somaya Al-Maadeed, Moutaz Saleh, Rani Chinnappa Naidu, Zachariah C Alex, Prakash Ramachandran, Rajeev Khoodeeram, Rajesh Kumar M

Specifically, this review will focus on determining the most effective set and type of features that can be used for automatic patient classification and evaluating the best AI techniques for this purpose.

Classification

3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review

no code implementations9 Jun 2023 Omar Elharrouss, Kawther Hassine, Ayman Zayyan, Zakariyae Chatri, Noor Almaadeed, Somaya Al-Maadeed, Khalid Abualsaud

Nevertheless, working with this emerging type of data has been a challenging task for objects representation, scenes recognition, segmentation, and reconstruction.

Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization

no code implementations27 Apr 2023 Hamza Kheddar, Yassine Himeur, Somaya Al-Maadeed, Abbes Amira, Faycal Bensaali

Moreover, DL techniques and machine learning (ML) approaches in general, hypothesize that training and testing data come from the same domain, with the same input feature space and data distribution characteristics.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Automated Systems For Diagnosis of Dysgraphia in Children: A Survey and Novel Framework

no code implementations27 Jun 2022 Jayakanth Kunhoth, Somaya Al-Maadeed, Suchithra Kunhoth, Younus Akbari

The few available artificial intelligence-powered screening systems for dysgraphia relies on the distinctive features of handwriting from the corresponding images. This work presents a review of the existing automated dysgraphia diagnosis systems for children in the literature.

Math

Panoptic Segmentation: A Review

1 code implementation19 Nov 2021 Omar Elharrouss, Somaya Al-Maadeed, Nandhini Subramanian, Najmath Ottakath, Noor Almaadeed, Yassine Himeur

Image segmentation for video analysis plays an essential role in different research fields such as smart city, healthcare, computer vision and geoscience, and remote sensing applications.

Autonomous Driving Crowd Counting +4

An encoder-decoder-based method for COVID-19 lung infection segmentation

no code implementations2 Jul 2020 Omar Elharrouss, Nandhini Subramanian, Somaya Al-Maadeed

But the challenges of these features such as the quality of the image and infection characteristics limitate the effectiveness of these features.

Multi-Task Learning

Image inpainting: A review

no code implementations13 Sep 2019 Omar Elharrouss, Noor Almaadeed, Somaya Al-Maadeed, Younes Akbari

Furthermore, collect a list of the available datasets and discuss these in our paper.

Image Inpainting

Colorectal cancer diagnosis from histology images: A comparative study

no code implementations27 Mar 2019 Junaid Malik, Serkan Kiranyaz, Suchitra Kunhoth, Turker Ince, Somaya Al-Maadeed, Ridha Hamila, Moncef Gabbouj

Moreover, we conduct quantitative comparative evaluations among the traditional methods, transfer learning-based methods and the proposed adaptive approach for the particular task of cancer detection and identification from scarce and low-resolution histology images.

Transfer Learning

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

no code implementations ECCV 2018 Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Maadeed, Nasir Rajpoot, Mubarak Shah

With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analysis is emerging as a new frontier in computer vision.

Crowd Counting Management +1

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