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1
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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2
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
Published 2007“…This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion residuals. …”
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3
Ground motion isolation using a newly designed vibration absorber
Published 2011“…A new vibration absorber setup for vibration attenuation in single degree of freedom systems subjected to harmonic base motion is proposed. The absorber is placed so as to separate between the vibrating ground and the main undamped system. …”
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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
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6
AI‐Enhanced PV Power Forecasting Using Cloud Thickness and Motion in Kayseri, Turkey
Published 2025“…</p><p dir="ltr">This research seeks to fill this gap in research through the development of a new AI‐based PV forecasting model that incorporates cloud thickness, cloud motion, and solar position into the forecasting model. …”
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7
Pre-production movie rating prediction using machine learning. (c2017)
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masterThesis -
8
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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9
Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
Published 2023“…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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10
Continuous Arabic Sign Language Recognition in User Dependent Mode
Published 2010“…The development of the presented work required collecting a continuous Arabic Sign Language database which we designed and recorded in cooperation with a sign language expert. …”
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11
Multiple Proposals for Continuous Arabic Sign Language Recognition
Published 2019“…Arabic SLR (ArSLR) specifically did not receive much attention until recent years. This work presents a comprehensive comparison between two different recognition techniques for continuous ArSLR, namely a Modified k-Nearest Neighbor (MKNN) which is suitable for sequential data and Hidden Markov Models (HMMs) techniques based on two different toolkits. …”
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12
Sensor-Based Signer Independent Continuous Arabic Sign Language Recognition
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doctoralThesis -
13
GPS measurements of present-day crustal deformation within the restraining bend of the Dead Sea fault system in Lebanon
Published 2005“…We present new Global Positioning System (GPS) measurements that help constrain relative plate motion along this portion of the plate boundary and explore strain partitioning of the plate motion within the restraining bend. …”
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Formulation of heat conduction and thermal conductivity of metals
Published 2019“…Potential applications of this approach include extension of the present kinetic model incorporating quantum effects to cases in which electron scattering occurs such as in nanowires and hollow nanowires.…”
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16
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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Modelling of pollutant transport in compound open channels
Published 1998“…The present research investigates the numerical and experimental modelling aspects of flow in compound channels, with special interest in the transport of inert pollutant aspects. …”
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Numerical Modeling of Time-Fractional Phase-Change Problems
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doctoralThesis -
20
Development and modeling of novel extensional ionic polymer transducers
Published 2007“…The electromechanical coupling is measured and a correlation of the experimental data with the active areas model by Akle and Leo (2006) and the numerical electromechanical model by Wallmersperger and Leo (2004) are presented. …”
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