Now showing items 577-596 of 2211

    • Computational methods for automated analysis of corneal nerve images: Lessons learned from retinal fundus image analysis 

      Salahuddin, Tooba; Qidwai, Uvais ( Elsevier , 2020 , Article Review)
      Corneal and retinal imaging provide a descriptive view of the nerve and vessel structure present inside the human eye, in a non-invasive manner. This helps in ocular, or other, disease identification and diagnosis. However, ...
    • Computer aided diagnosis system based on machine learning techniques for lung cancer 

      Al-Absi, Hamada R. H.; Samir, Brahim Belhaouari; Shaban, Khaled Bashir; Sulaiman, Suziah (2012 , Conference Paper)
      Cancer is a leading cause of death worldwide. Lung cancer is a type of cancer that is considered as one of the most leading causes of death globally. In Malaysia, it is the 3rd common cancer type and the 2nd type of cancer ...
    • Computer vision-based weight estimation of livestock: a systematic literature review 

      Dohmen, Roel; Catal, Cagatay; Liu, Qingzhi ( Taylor and Francis Ltd. , 2022 , Article Review)
      Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. To this end, several methods have been researched and implemented to automate this process. In this study, we performed a ...
    • Conceptual ascendant feature extraction of a financial corpus 

      Al-Jaoua, Ali Mohamed; AlJa'am, Jihad Mohamad; Hammami, Helmi; Ferjani, Fethi; Laban, Firas; ... more authors ( IEEE , 2010 , Conference Paper)
      In the scope of Financial Watch project, in order to create a feature of a corpus reflecting its semantic structure, a general algorithm of text micro structuring and browsing is proposed. The same conceptual algorithm has ...
    • Conceptual Data Classification: Application for Knowledge Extraction 

      Hasnah, Ahmed; Jaoua, Ali Mohamed; Jaam, Jihad ( John Wiley & Sons, Ltd , 2005 , Book chapter)
    • Conceptual data sampling for breast cancer histology image classification 

      Rezk, Eman; Awan, Zainab; Islam, Fahad; Jaoua, Ali; Al Maadeed, Somaya; ... more authors ( Elsevier Ltd , 2017 , Article)
      Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ...
    • Conceptual Interactive Search Engine Interface for Visually Impaired Web Users 

      Aqle, Aboubakr; Al-Thani, Dena; Jaoua , Ali ( IEEE Computer Society , 2019 , Conference Paper)
      The Internet is the main source of information nowadays. Consequently, end users need to be knowledgeable about how to use search engines in order to locate relevant information in a reasonable time with minimal effort. ...
    • Conceptual-based Functional Dependency Detection Framework 

      Islam, Fahad ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      Nowadays, knowledge discovery from data is one of the challenging problems, due to its importance in different fields such as; biology, economy and social sciences. One way of extracting knowledge from data can be achieved ...
    • Conceptualization of Artificial Intelligence in Airway Management 

      Dhananchey, Ramkumar; Henri Jean Alinier, Guillaume; Bouras, Abdelaziz; Hossain, Alamgir; Lance, Marcus; ... more authors ( Hamad bin Khalifa University Press (HBKU Press) , 2022 , Article)
      Background: Failed intubation is the single most important cause of patient morbidity and mortality during anesthesia for surgery. The incidence of difficult intubation could be as high as 12% while failed intubation is ...
    • Concurrent association in heterogeneous networks with underlay D2D communication 

      Awad Abdellatif, Alaa; Mohamed, Amr; Chiasserini, Carla Fabiana ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Deployment of Device-to-Device (D2D) communication within dense heterogeneous networks is a key solution in order to face the intense demand for high data rates and quality of the service in future 5G networks. However, ...
    • Confidentiality and Timeliness of Data Dissemination in Platoon-based Vehicular Cyber-Physical Systems 

      Li, Kai; Ni, Wei; Zheng, Jingjing; Tovar, Eduardo; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Recent advances in inter-vehicle wireless communications allow for automated and coordinated vehicles' driving in platoon-based vehicular cyber-physical systems (PVCPS). This article presents a comprehensive low-latency ...
    • Conformal circular patch antenna array design for use in jet engines 

      Krishna, A.; Khattab, T.; Abdelaziz, A. F.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      A novel low profile two elements array of circular patch antenna is designed, analyzed and simulated for wireless sensor applications in extremly harsh environments like jet engines. The designed antenna is simulated using ...
    • Conformal circular patch antenna array design for use in jet engines 

      Krishna, A.; Khattab, T.; Abdelaziz, A.F.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      A novel low profile two elements array of circular patch antenna is designed, analyzed and simulated for wireless sensor applications in extremly harsh environments like jet engines. The designed antenna is simulated using ...
    • Congestion-aware core mapping for Network-on-Chip based systems using betweenness centrality 

      Maqsood T.; Bilal K.; Madani S.A. ( Elsevier B.V. , 2018 , Article)
      Network congestion poses significant impact on application performance and network throughput in Network-on-Chip (NoC) based systems. Efficient core mapping can significantly reduce the network contention and end-to-end ...
    • ConProve: A conceptual prover system 

      Elloumi, Samir; Jaoua, Ali; Boulifa, Bilel; Saleh, Mohammad; Al Otaibi, Jameela ( IEEE , 2014 , Conference Paper)
      ConProve is an automated prover for propositional logic. It takes, as an input, a set of propositional formulas and proves whether a goal holds or not. ConProve converts each formula to its corresponding Truth Table Binary ...
    • Constrained metric learning by permutation inducing isometries 

      Bosveld, Joel; Mahmood, Arif; Huynh, Du Q.; Noakes, Lyle ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      The choice of metric critically affects the performance of classification and clustering algorithms. Metric learning algorithms attempt to improve performance, by learning a more appropriate metric. Unfortunately, most of ...
    • Constraint-enhanced role engineering via answer set programming 

      Hu, Jinwei; Khan, Khaled M.; Bai, Yun; Zhang, Yan ( Association for Computing Machinery , 2012 , Conference Paper)
      Role engineering (RE) aims to develop and maintain appropriate role-based access control (RBAC) configurations. However, RE with constraints in place is not well-studied. Constraints usually describe organizations' security ...
    • Construction of audio corpus of non-native English dialects -Arabs speakers 

      Chellali S.; Al-Maadeed, Somaya; Asim M.; Ahfir M.; Hidouci W.K. ( European Association of Geoscientists and Engineers, EAGE , 2017 , Conference Paper)
      Speech recognition for the academic and standard languages has achieved a great development, but in the face of the multiple dialects with their differences, there is still a noticeable lack of recognition rates, especially ...
    • Content-based image retrieval with compact deep convolutional features 

      Alzu'bi, Ahmad; Amira, Abbes; Ramzan, Naeem ( Elsevier B.V. , 2017 , Article)
      Convolutional neural networks (CNNs) with deep learning have recently achieved a remarkable success with a superior performance in computer vision applications. Most of CNN-based methods extract image features at the last ...
    • Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation 

      Guo, Jie; Song, Bin; Chen, Siqi; Yu, Fei Richard; Du, Xiaojiang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Due to high mobility and high dynamic environments, object detection for vehicular networks is one of the most challenging tasks. However, the development of integration techniques, such as software-defined networking (SDN) ...