السجلات المعروضة 141 -- 160 من 8477

    • Vehicle Instance Segmentation Polygonal Dataset for a Private Surveillance System 

      Ottakath, Najmath; Al-Maadeed, Somaya ( MDPI , 2023 , Article)
      Vehicle identification and re-identification is an essential tool for traffic surveillance. However, with cameras at every corner of the street, there is a requirement for private surveillance. Automated surveillance can ...
    • A Pipeline for Story Visualization from Natural Language 

      Zakraoui, Jezia; Saleh, Moutaz; Al-Maadeed, Somaya; Alja’am, Jihad Mohamad ( MDPI , 2023 , Article)
      Generating automatic visualization from natural language texts is an important task for promoting language learning and literacy development for young children and language learners. However, translating a text into a ...
    • Wearable Ultrasound devices for continuous health monitoring: Current and future Prospects 

      Ottakath, Najmath; Al-Maadeed, Somaya; Bouridane, Ahmed; Chowdhury, Muhammad E.H.; Sadasivuni, Kishor Kumar ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      Advancements in wearable electronics and portable sensors have enabled long-term and real-time health monitoring. Among these advancements, wearable ultrasound devices have garnered attention due to their portability, ease ...
    • Pose Estimation of Physiotherapy Exercises using ML Techniques 

      Tluli, Reem; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      This study introduces an innovative methodology for accurately classifying physiotherapy exercises, integrating Pose Estimation and diverse Machine Learning (ML) techniques within the alwaysAI framework. The workflow ...
    • Enhancing Post-Disaster Survivor Detection Using UAV Imagery and Transfer Learning Strategies 

      Ahmed, Nema; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      In disaster response and search and rescue operations, the immediate detection of survivors remains a critical challenge. This research pioneers a novel approach to rapidly detect survivors in disaster areas using UAVs and ...
    • Deep transfer learning for automatic speech recognition: Towards better generalization 

      Hamza, Kheddar; Himeur, Yassine; Al-Maadeed, Somaya; Amira, Abbes; Bensaali, Faycal ( Elsevier B.V. , 2023 , Article)
      Automatic speech recognition (ASR) has recently become an important challenge when using deep learning (DL). It requires large-scale training datasets and high computational and storage resources. Moreover, DL techniques ...
    • Video steganography: recent advances and challenges 

      Kunhoth, Jayakanth; Subramanian, Nandhini; Al-Maadeed, Somaya; Bouridane, Ahmed ( Springer , 2023 , Article)
      Video steganography approach enables hiding chunks of secret information inside video sequences. The features of video sequences including high capacity as well as complex structure make them more preferable for choosing ...
    • The Detection of Dysarthria Severity Levels Using AI Models: A Review 

      Al-Ali, Afnan; Al-Maadeed, Somaya; Saleh, Moutaz; Naidu, Rani Chinnappa; Alex, Zachariah C.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      Dysarthria, a speech disorder stemming from neurological conditions, affects communication and life quality. Precise classification and severity assessment are pivotal for therapy but are often subjective in traditional ...
    • Automated systems for diagnosis of dysgraphia in children: a survey and novel framework 

      Kunhoth, Jayakanth; Al-Maadeed, Somaya; Kunhoth, Suchithra; Akbari, Younes; Saleh, Moutaz ( Springer Science and Business Media Deutschland GmbH , 2024 , Article)
      Learning disabilities, which primarily interfere with basic learning skills such as reading, writing, and math, are known to affect around 10% of children in the world. The poor motor skills and motor coordination as part ...
    • Heuristic Algorithm for Obtaining Approximate Optimum Stratification with Mixture of Ratio and Product Estimators 

      Rizvi, S. E.H.; Danish, Faizan; Jan, Rafia; Mageed, Ismail A.; Al Maadeed, Sumaya; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)
      In this investigation, we examined the impact of employing simple random sampling on the stratification points pertaining to the two independent variables. The study focused on a variable (X) exhibiting a robust correlation, ...
    • Drone-type-Set: Drone types detection benchmark for drone detection and tracking 

      AlDosari, Khloud; Osman, AIbtisam; Elharrouss, Omar; Al-Maadeed, Somaya; Chaari, Mohamed Zied ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      The Unmanned Aerial Vehicles (UAVs) market has been significantly growing and Considering the availability of drones at low-cost prices the possibility of misusing them, for illegal purposes such as drug trafficking, spying, ...
    • Crowd density estimation with a block-based density map generation 

      Elharrouss, Omar; Mohammed, Hanadi Hassen; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      Crowd management is one of the challenging tasks in computer vision especially crowd counting which can be the key solution for many surveillance applications. But the estimation of crowdedness in a scene can be related ...
    • Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer 

      Waqas, Muhammad; Tahir, Muhammad Atif; Author, Muhammad Danish; Al-Maadeed, Sumaya; Bouridane, Ahmed; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2024 , Article)
      In multiple-instance learning (MIL), the existing bag encoding and attention-based pooling approaches assume that the instances in the bag have no relationship among them. This assumption is unsuited, as the instances in ...
    • Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision 

      Omar, Elharrouss; Akbari, Younes; Almadeed, Noor; Al-Maadeed, Somaya ( Elsevier Ireland Ltd , 2024 , Article)
      To understand the real world using various types of data, Artificial Intelligence (AI) is the most used technique nowadays. While finding the pattern within the analyzed data represents the main task. This is performed by ...
    • An Analytical Study on the Utility of RGB and Multispectral Imagery with Band Selection for Automated Tumor Grading 

      Kunhoth, Suchithra; Al-Maadeed, Somaya ( Multidisciplinary Digital Publishing Institute (MDPI) , 2024 , Article)
      The implementation of tumor grading tasks with image processing and machine learning techniques has progressed immensely over the past several years. Multispectral imaging enabled us to capture the sample as a set of image ...
    • Seven Challenges for Communication in Modern Railway Systems 

      Yaacoub, Elias; Alsharoa, Ahmad; Ghazzai, Hakim; Alouini, Mohamed Slim ( Frontiers Media S.A. , 2020 , Article)
      To meet the increasing demands for passenger data rates, modern railway communication networks face significant challenges. The advent of 5G communications after the long-term evolution (LTE) and LTE-Advanced (LTE-A) systems ...
    • Seven Challenges for Communication in Modern Railway Systems 

      Yaacoub, Elias; Alsharoa, Ahmad; Ghazzai, Hakim; Alouini, Mohamed Slim ( Frontiers Media S.A. , 2020 , Article)
      To meet the increasing demands for passenger data rates, modern railway communication networks face significant challenges. The advent of 5G communications after the long-term evolution (LTE) and LTE-Advanced (LTE-A) systems ...
    • Securing internet of medical things systems: Limitations, issues and recommendations 

      Jean-Paul A., Yaacoub; Noura, Mohamad; Noura, Hassan N.; Salman, Ola; Yaacoub, Elias; ... more authors ( Elsevier , 2019 , Article)
      Traditional health-care systems suffer from new challenges associated with the constant increase in the number of patients. In order to address this issue, and to increase the accuracy, reliability, efficiency, and ...
    • A Practical TDMA Modification of IEEE 802.11 for Ultra-Dense IoT-Health with Fairness Considerations 

      Modad, Bassel Abou Ali; Yaacoub, Elias; Kassir, Abdallah; Dawy, Zaher ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference Paper)
      Over the last decades, wireless networks have experienced major growth in their enabling technologies and global penetration, with the Internet of Things (IoT) paradigm witnessing a significant growth. To meet the high ...
    • A novel pandemic tracking map: From theory to implementation 

      Gouissem, Ala; Abualsaud, Khalid; Yaacoub, Elias; Khattab, Tamer; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Article)
      The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...