• Automatic handedness detection from off-line handwriting 

      Al-Maadeed,Somaya; Ferjani F.; Elloumi S.; Hassaine A.; Jaoua A. ( IEEE , 2013 , Conference Paper)
      In forensics, the handedness detection or the classification of writers into left or right-handed helps investigators focusing more on a certain category of suspects. However, only a few studies have been carried out in ...
    • Automatic keyphrase extraction for Arabic news documents based on KEA system 

      Duwairi, Rehab; Hedaya, Mona ( IOS Press , 2016 , Article)
      A keyphrase is a sequence of words that play an important role in the identification of the topics that are embedded in a given document. Keyphrase extraction is a process which extracts such phrases. This has many important ...
    • Automatic Modulation Classification for Low SNR Digital Signal in Frequency-Selective Fading Environments 

      Wallayt, Waqas; Younis, Muhammad S.; Imran, Muhammad; Shoaib, Muhammad; Guizani, Mohsen ( Kluwer Academic Publishers , 2015 , Article)
      In this research, a classifier is proposed for automatic modulation classification of some common modulation schemes, i.e., BPSK, QPSK, 8-PSK and 16-QAM. Our proposed classifier considers multipath fading effects on the ...
    • Automatic prediction of age, gender, and nationality in offline handwriting 

      Al-Maadeed, Somaya; Hassaine A. ( Hindawi Publishing Corporation , 2014 , Article)
      The classification of handwriting into different categories, such as age, gender, and nationality, has several applications. In forensics, handwriting classification helps investigators focus on a certain category of ...
    • Automatic ranking of information retrieval systems 

      Hasanain M. ( Association for Computing Machinery, Inc , 2018 , Conference Paper)
      Typical information retrieval system evaluation requires expensive manually-collected relevance judgments of documents, which are used to rank retrieval systems. Due to the high cost associated with collecting relevance ...
    • Automatic segmentation and reconstruction of historical manuscripts in gradient domain 

      Baig A.; Al-Ma'adeed S.A.S.; Bouridane A.; Cheriet M. ( Institution of Engineering and Technology , 2018 , Article)
      Separating content from noise in historical manuscripts is a fundamental task in digital palaeography. This study presents a fully automated segmentation approach based on the response of Harris corner detectors. The ...
    • Automatic verification of health regulatory compliance in cloud computing 

      Khan, Khaled M.; Bai, Yun ( IEEE , 2013 , Conference Paper)
      This paper aims to develop an approach that enables cloud computing clients to verify health regulatory compliance claimed by cloud computing providers. In this approach, clients of cloud computing could check automatically ...
    • Automation of systematic literature reviews: A systematic literature review 

      van Dinter, Raymon; Tekinerdogan, Bedir; Catal, Cagatay ( Elsevier , 2021 , Article Review)
      Context: Systematic Literature Review (SLR) studies aim to identify relevant primary papers, extract the required data, analyze, and synthesize results to gain further and broader insight into the investigated domain. ...
    • Autonomous and Privacy-preserving Energy Trading Based on Redactable Blockchain in Smart Grid 

      Yang, Wenti; Guan, Zhitao; Wu, Longfei; Du, Xiaojiang; Lv, Zefang; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      With the development of information and communication technologies in smart grid, peer-to-peer (P2P) energy trading for distributed energy resources (DER) has achieved an efficient two-way flow of information and power. ...
    • Autonomous corrosion detection in gas pipelines: A hybrid-fuzzy classifier approach using ultrasonic nondestructive evaluation protocols 

      Qidwai, Uvais A. ( IEEE , 2009 , Article)
      In this paper, a customized classifier is presented for the industry-practiced nondestructive evaluation (NDE) protocols using a hybrid-fuzzy inference system (FIS) to classify the corrosion and distinguish it from the ...
    • Autonomous vehicle sunshade using aluminum panels 

      Bin Abul Kashem, Saad; Shahid, Fawad; Qidwai, Uvais; Suresh, P.; Ahmed, Jubaer; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)
      The heat build-up inside of a vehicle cabin due to the direct composure of thermal energy when parked outside during the day can be a huge dilemma, the intensity of the problem can be decreased by covering the windows of ...
    • B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core 

      Bello Y.; Abdellatif A.A.; Allahham M.S.; Hussein A.R.; Erbad A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core ...
    • B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core 

      Bello Y.; Allahham M.S.; Refaey A.; Erbad A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      The increase in mobile traffic which is accompanied by a random workload, variations necessitate an upgrade of mobile network infrastructure to maintain acceptable network performance. Scaling the mobile core network ...
    • Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering 

      Javed, Sajid; Mahmood, Arif; Bouwmans, Thierry; Jung, Soon Ki ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
      Background estimation and foreground segmentation are important steps in many high-level vision tasks. Many existing methods estimate background as a low-rank component and foreground as a sparse matrix without incorporating ...
    • Backscatter-Enabled Efficient V2X Communication with Non-Orthogonal Multiple Access 

      Khan, Wali Ullah; Jameel, Furqan; Kumar, Neeraj; Jantti, Riku; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Non-orthogonal multiple access (NOMA) and backscatter communications are considered to be promising technologies for beyond the fifth-generation (5G) due to their applications in large-scale Internet-of-things networks for ...
    • BADR: A Talking Face To Teach Arabic Vocabulary Under COVID-19 

      Ali, Zeyad; Saleh, Moutaz; Al-Maadeed, Sumaya; AlJa'am, Jihad; Massaro, Dominic; ... more authors ( IEEE , 2022 , Conference Paper)
      We propose an Arabic talking face called Badr to teach the language vocabulary for young students under COVID-19 pandemic. Badr is built on the previous talking face Baldi (e.g., an American English talking face) with many ...
    • Battery status-aware authentication scheme for V2G networks in smart grid 

      Liu, Hong; Ning, Huansheng; Zhang, Yan; Guizani, Mohsen (2013 , Article)
      Vehicle-to-grid (V2G) is emerging as an attractive paradigm in smart grid, and provides power and information services by periodically collecting power status of battery vehicles (BVs). During a BV's interaction with power ...
    • Battery-Induced Load Hiding and Its Utility Consequences 

      Aly, Hussein; Altamimi, Emran; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ...
    • Bayesian Beamforming for Mobile Millimeter Wave Channel Tracking in the Presence of DOA Uncertainty 

      Yang, Yan; Dang, Shuping; Wen, Miaowen; Mumtaz, Shahid; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      This paper proposes a Bayesian approach for angle-based hybrid beamforming and tracking that is robust to uncertain or erroneous direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple ...
    • Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics 

      Sirinukunwattana, Korsuk; Savage, Richard S.; Bari, Muhammad F.; Snead, David R.J.; Rajpoot, Nasir M. ( Public Library of Science , 2013 , Article)
      Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ...