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2D Self-organized ONN model for Handwritten Text Recognition
( Elsevier , 2022 , Article)Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since ... -
3-D Stochastic Geometry-based Modeling and Performance Analysis of Efficient Security Enhancement scheme for IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day’s life. The heterogeneous nature of IoT devices and the complex use scenarios make it ... -
3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day's life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to ... -
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ... -
3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor
( Institute of Physics Publishing , 2017 , Article)The advent of inexpensive digital cameras with depth sensing capabilities (RGB-D cameras) has opened the door to numerous useful applications that need quantitative measures of dynamic fields whose simultaneous time history ... -
3D Gaussian Descriptor for Video-based Person Re-Identification
( Vaclav Skala Union Agency , 2019 , Conference)Despite being often considered less challenging than image-based person re-identification (re-id), video-based person re-id is still appealing as it mimics a more realistic scenario owing to the availability of pedestrian ... -
3D GIS Interactive Visualization of the Archaeological Sites in Qatar for Research and Learning
( International Association of Online Engineering , 2022 , Article)This work provides a proficient approach to coordinate archeological exercises, information administration, digital object representation, and spatial investigation. The proposed framework furnishes the client with the ... -
5G vehicular network resource management for improving radio access through machine learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ... -
6G Connectivity in Dense Indoor Environments using Beamforming and Frequency Allocation over IEEE 802.11ad
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference)The upcoming 6G network is expected to support high data rate services combining the requirements of the 5G enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) use cases, typically ... -
A BCI m-Learning System
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference)Mobile learning can help in evolving students learning strength and comprehension skills. A connection is required to enable such devices communicate between each other. Brain-Computer Interface (BCI) can read brain signals ... -
A Bi-layered parallel training architecture for large-scale convolutional neural networks
( IEEE Computer Society , 2019 , Article)Benefitting from large-scale training datasets and the complex training network, Convolutional Neural Networks (CNNs) are widely applied in various fields with high accuracy. However, the training process of CNNs is very ... -
A Bilingual Scene-To-Speech Mobile Based Application
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference)Scene-To-Speech (STS) is the process of recognizing visual objects in a picture or a video to say aloud a descriptive text that represents the scene. The recent advancement in convolution neural network (CNN), a deep ... -
A bio-inspired framework to mitigate dos attacks in software defined networking
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Software Defined Networking (SDN) is an emerging architecture providing services on a priority basis for real-time communication, by pulling out the intelligence from the hardware and developing a better management system ... -
A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services
( Elsevier B.V. , 2019 , Article)In modern e-Healthcare systems, human activity recognition (HAR) is one of the most challenging tasks in remote monitoring of patients suffering from mental illness or disabilities for necessary assistance. One of the major ... -
A Blockchain-Enabled Privacy-Preserving Verifiable Query Framework for Securing Cloud-Assisted Industrial Internet of Things Systems
( IEEE Computer Society , 2022 , Article)Advanced Industrial Internet-of-Things (IIoT), such as smart grids, 5G-enabled unmanned aerial vehicles (UAV), and supply chain 4.o, can be used to facilitate smart management. Nevertheless, IIoT systems generate huge ... -
A boost converter-based ringing circuit with high-voltage gain for unipolar pulse generation
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)High-Voltage pulse generators are commonly used in biotechnology, medicine, industrial applications, food processing and drinking water purification. The dc-dc boost converter has been used before in pulsed applications ... -
A Broker-Based Manufacturing Supply Chain Integration with Blockchain: Managing Odoo Workflows Using Hyperledger Fabric Smart Contracts
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)Nowadays, Blockchains are considered the go-to solution when it comes to secure and trust-ensuring platforms for critical data exchange. However, integrating this technology with existing systems is quite a challenging ... -
A business collaborative decision making system for network of SMEs
( Springer New York LLC , 2016 , Conference)The enterprise collaboration has gain much popularity and strength with the inception of digital revolution. The concept of enterprise collaboration has observed a dynamic and evolving phenomenon of value added chain. This ... -
A cascade of artificial neural networks to predict transformers oil parameters
(2009 , Article)In this paper artificial neural networks have been constructed to predict different transformers oil parameters. The prediction is performed through modeling the relationship between the insulation resistance measured ... -
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
( Association for Computational Linguistics (ACL) , 2017 , Conference)Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...
