Browsing Computer Science & Engineering by Title
Now showing items 408-427 of 2127
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B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( 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 ... -
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( 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 ... -
Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering
( 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
( 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
( 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
(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 ... -
Bayesian Beamforming for Mobile Millimeter Wave Channel Tracking in the Presence of DOA Uncertainty
( 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
( 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 ... -
Bayesian network based heuristic for energy aware EEG signal classification
( SpringerLink , 2013 , Conference Paper)A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ... -
BEC: A novel routing protocol for balanced energy consumption in Wireless Body Area Networks
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Wireless Body Area Networks (WBANs) are getting growing interest because of their suitability for wide range of medical and non-medical applications. These applications demand WBAN to stay functional for a longer time which ... -
Behaviour of RC beams strengthened in shear using near surface embedded FRCM
( Institute of Physics Publishing , 2018 , Conference Paper)This paper presents an experimental study on the efficacy of a lately introduced "near surface embedded" technique (NSE) for fabric reinforced cementitious matrix (FRCM) for the strengthening of reinforced concrete (RC) ... -
BEMD-3DCNN-based method for COVID-19 detection
( Elsevier Ltd , 2022 , Article)The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ... -
Bidirectional Parallel Capacitive Data Links: Modeling and Experimental Results
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)We present, in this paper, a bidirectional capacitive data link. Enhancement of the spatial pulse position modulation used on the downlink is introduced, and a load-shift keying modulation is implemented for the uplink. ... -
Big data perspective with otological modeling for long term traceability of cultural heritage
( Springer New York LLC , 2015 , Conference Paper)The safeguarding of cultural heritage has brought forward the generation of heterogeneous, complex, diversified and irreplaceable digital data. It becomes difficult for an object with missing characteristics to perform the ... -
BigCrypt for big data encryption
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)as data size is growing up, cloud storage is becoming more familiar to store a significant amount of private information. Government and private organizations require transferring plenty of business files from one end to ... -
BigIR at CLEF 2018: Detection and verification of check-worthy political claims
( CEUR-WS , 2018 , Conference Paper)With the enormous amount of misinformation spread over the Internet, manual fact-checking is no longer feasible to prevent its negative impact. There is an urgent need for automated systems that can make fact-checking ... -
Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper proposes the utilization of CNNs ... -
Binarization of degraded document images using convolutional neural networks based on predicted two-channel images
( IEEE Computer Society , 2019 , Conference Paper)Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels. This paper proposes Convolutional Neural Networks (CNNs) based on ... -
Binary consensus in sensor motes
( IEEE , 2013 , Conference Paper)In this work, we adapt the binary consensus algorithm for use in wireless sensor networks. Binary consensus is used to allow a collection of distributed entities to reach consensus regarding the answer to a binary question ... -
Biometric-based authentication scheme for Implantable Medical Devices during emergency situations
( Elsevier B.V. , 2019 , Article)Biometric recognition and analysis are among the most trusted features to be used by Implantable Medical Devices (IMDs). We aim to secure these devices by using these features in emergency scenarios. As patients can witness ...
