Browsing by Title

Now showing items 3441-3460 of 49153

    • Automated class-based compression for real-time epileptic seizure detection 

      Abdellatif A.A.; Mohamed A.; Chiasserini C.-F. ( IEEE Computer Society , 2018 , Conference Paper)
      The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ...

    • Automated Classification of Diabetic Retinopathy Severity: A Deep Learning Apprch 

      AlSaad, Rawan; Boughorbel, Sabri; Al-Maadeed, Somaya ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Background: Diabetic retinopathy (DR) is a damage to the retina caused by complications of diabetes and is the fastest growing cause of blindness. It is a major concern for the Qatari population, affecting about 40% of ...

    • Automated construction of variable density navigable networks in a 3D indoor environment for emergency response 

      Boguslawski, Pawel; Mahdjoubi, Lamine; Zverovich, Vadim; Fadli, Fodil ( Elsevier , 2016 , Article)
      Widespread human-induced or natural threats on buildings and their users have made preparedness and rapid response crucial issues for saving human lives. The ability to identify the paths of egress during an emergency is ...

    • Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment 

      Tolba, Zakaria; Derdour, Makhlouf; Ferrag, Mohamed Amine; Muyeen, S. M.; Benbouzid, Mohamed ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block ...

    • Automated defect detection tool for closed circuit television (cctv) inspected sewer pipelines 

      Hawari A.; Alamin M.; Alkadour F.; Elmasry M.; Zayed T. ( Elsevier B.V. , 2018 , Article)
      In sewer networks, the economic effects and costs that result from a pipeline failure are rising sharply. As a result, there is huge demand for inspection and rehabilitation of sewer pipelines. In addition to being inaccurate, ...

    • Automated Defect Detection Tool For Sewer Pipelines 

      Kabashi Elamin, Mazen (2017 , Master Thesis)
      In sewer networks, the economic effects and costs that result from a pipeline break are rising sharply. In Qatar, majority of the sewer network pipelines were installed in the last 20 years and are currently in poor condition ...

    • Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling 

      Moradi, Saeed; Zayed, Tarek; Hawari, Alaa H. ( International Society for Trenchless Technology , 2016 , Conference Paper)
      Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ...

    • Automated Detection of Brain Tumor through Magnetic Resonance Images Using Convolutional Neural Network 

      Gull, Sahar; Akbar, Shahzad; Khan, Habib Ullah ( Hindawi , 2021 , Article)
      Brain tumor is a fatal disease, caused by the growth of abnormal cells in the brain tissues. Therefore, early and accurate detection of this disease can save patient's life. This paper proposes a novel framework for the ...

    • Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features 

      Dong, Shiying; Boashash, Boualem; Azemi, Ghasem; Lingwood, Barbara E.; Colditz, Paul B. ( Springer Berlin Heidelberg , 2014 , Article)
      Perinatal hypoxia is a cause of cerebral injury in foetuses and neonates. Detection of foetal hypoxia during labour based on the pattern recognition of heart rate signals suffers from high observer variability and low ...

    • Automated knowledge discovery in facility layout planning 

      Ahmad, Abdul-Rahim; Tasadduq, Imran A.; Imam, M. H.; Shaban, Khaled Bashir ( International Business Information Management Association, IBIMA , 2014 , Conference Paper)
      This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ...

    • Automated layer-wise solution for ensemble deep randomized feed-forward neural network 

      Hu, Minghui; Gao, Ruobin; Suganthan, Ponnuthurai N.; Tanveer, M. ( Elsevier B.V. , 2022 , Article)
      The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ...

    • Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations 

      Al-Kababji, Ayman; Bensaali, Faycal; Dakua, Sarada Prasad; Himeur, Yassine ( Elsevier , 2023 , Short Survey)
      Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ...

    • Automated quantification of penile curvature using artificial intelligence 

      Abbas,Tariq O.; AbdelMoniem,Mohamed; Chowdhury,Muhammad E. H. ( Frontiers Media S.A. , 2022 , Article)
      Objective: To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images. Materials and methods: Nine 3D-printed ...

    • An automated refactoring approach to improve IoT software quality 

      Zhang, Yang; Shao, Shuai; Ji, Minghan; Qiu, Jing; Tian, Zhihong; ... more authors ( MDPI AG , 2020 , Article)
      Internet of Things (IoT) software should provide good support for IoT devices as IoT devices are growing in quantity and complexity. Communication between IoT devices is largely realized in a concurrent way. How to ensure ...

    • Automated Segmentation of Cerebral Aneurysm Using a Novel Statistical Multiresolution Approach 

      Regaya, Yousra Mounir (2018 , Master Thesis)
      Cerebral Aneurysm (CA) is a vascular disease that threatens the lives of many adults. It a ects almost 1:5 - 5% of the general population. Sub- Arachnoid Hemorrhage (SAH), resulted by a ruptured CA, has high rates ...

    • Automated Service Delivery and Optimal Placement for CRANs 

      Erbad, Aiman; Bhamare, Deval; Jain, Raj; Samaka, Mohammed ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Traditionally, in cellular networks, users communicate with the base station that serves the particular cell under coverage. The main functions of a base station can be divided into two, which are the baseband unit (BBU) ...

    • Automated service delivery platform for C-RANs 

      Bhamare, Deval; Erbad, Aiman; Jain, Raj; Samaka, Mohammed ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Cloud computing is gaining significant attention and virtualized data-centers are becoming popular as cost-effective infrastructure. Recently, there has been a trend to collocate the baseband unit (BBU) functionalities and ...

    • Automated vehicle density estimation from raw surveillance videos 

      Mehboob, Fozia; Abbas, Muhammad; Jiang, Richard; Tahir, Muhammad Atif; Al-Maadeed, Somaya; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      To enable an effective traffic management and signal control, it is important to know the road traffic density. In recent years, video surveillance based systems and monitoring tools have been widely used for obtaining ...

    • Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques 

      Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Khandakar, Amith; Ayari, Mohamed A.; Khan, Aftab U.; ... more authors ( MDPI , 2021 , Article)
      Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...

    • Automatic and Secure Electronic Gate System Using Fusion of License Plate, Car Make Recognition and Face Detection 

      Saadouli G.; Elburdani M.I.; Al-Qatouni R.M.; Kunhoth S.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      In this paper, we propose an automatic electronic gate system with authenticity confirmation from 3 individual modules, viz., car make and model, license plate and face detection. The ultrasonic sensor detects the stopped ...