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Quantifying day-to-day variations in 4DCBCT-based PCA motion models
Published 2020“…Motion models are built by 1) applying deformable image registration (DIR) on each 4DCBCT image with respect to a reference image from that day, resulting in a set of displacement vector fields (DVFs), and 2) applying principal component analysis (PCA) on the DVFs to obtain principal components representing a motion model. …”
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Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
Published 2007“…In the second approach, motion is represented through motion residuals. The residuals are then thresholded and transformed into the frequency domain. …”
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Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study
Published 2022“…A method for generating fluoroscopic (time-varying) volumetric images using patient-specific motion models derived from four-dimensional cone-beam CT (4D-CBCT) images was developed. 4D-CBCT images acquired immediately prior to treatment have the potential to accurately represent patient anatomy and respiration during treatment. …”
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Developing Privacy Frameworks for Motion Sensor Data in Next-Generation Wearable Devices
Published 2025Get full text
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Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
Published 2007“…The prediction errors are thresholded and accumulated into one image that represents the motion of the sequence. The motion representation is then followed by spatial-domain feature extractions. …”
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Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
Published 2023“…This results in a single image representation per sign language word referred to as a motion image. CNN transfer learning is used to convert each of these motion images into a feature vector which is used for either model generation or sign language recognition. …”
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The Design and Simulation of a Fuzzy Logic-Controlled Upper-body Exoskeleton for Lower-Limb Paraplegics Using Swing Through Gait Ambulation
Published 2022“…The controller is designed to recreate the STG using a rigid body dynamics model with a fuzzy logic controller guiding the motion of the shoulders and elbows. …”
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Multichannel image identification and restoration using continuousspatial domain modeling
Published 1997“…Using the maximum likelihood estimation (ML) approach, the image is represented as an autoregressive (AR) model and blur is described as a continuous spatial domain model. …”
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10
Modeling of oblique penetration into geologic targets using cavity expansion penetrator loading with target free-surface effects
Published 2017“…A procedure has been developed to represent the loading on a penetrator and its motion during oblique penetration into geologic media. …”
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GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE
Published 2023Get full text
doctoralThesis -
12
Computational Fluid Dynamics Simulation of Gas–Solid Hydrodynamics in a Bubbling Fluidized-Bed Reactor: Effects of Air Distributor, Viscous and Drag Models
Published 2019“…The turbulent model of RNG k-Ɛ was found to best represent the actual process. …”
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Computational Fluid Dynamics Simulation of Gas–Solid Hydrodynamics in a Bubbling Fluidized-Bed Reactor: Effects of Air Distributor, Viscous and Drag Models
Published 2019“…The turbulent model of RNG k-Ɛ was found to best represent the actual process. …”
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Exploring the potential of onboard energy scavenging subsystems for generating valuable data
Published 2023“…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …”
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Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways
Published 2023“…The trend and volatilities in the major principal component scores (the combined price risk indicator) were modelled using the geometric Brownian motion stochastic process, whose parameters were determined and then used to perform time-series simulation and generate multiple realisations of the principal component. …”
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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
Published 2017Get full text
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COLOR IMAGE IDENTIFICATION AND RESTORATION
Published 2020“…In this paper we present a novel identification technique for multichannel image processing using the maximum likelihood estimation (ML) approach. The image is represented as an autoregressive (AR) model and blur is described as a continuous spatial domain model, to overcome some major limitations encountered in other ML methods. …”
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Bias field/frequency characteristic of millimeter wavesemiconductor resonators at 77K
Published 2000“…The calculations assume that these materials are represented by the tensor permittivity derived from the Drude model of cyclotron motion in a plasma. …”
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A combined multiple action recognition and summarization for surveillance video sequences
Published 2022“…The multiple action detection extracts human bodies’ silhouette, then generates a specific sequence for each one of them using motion detection and tracking method. Each of the extracted sequences is then divided into shots that represent homogeneous actions in the sequence using the similarity between each pair frames. …”