Search Results - (( motion estimation force algorithm ) OR ( early identification _ algorithm ))
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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An Adaptive Motion Estimation Algorithm for Irregular Motion of Objects
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An adaptive motion estimation algorithm for irregular motion of objects
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Sensor-less force-reflecting macro–micro telemanipulation systems by piezoelectric actuators
Published 2016“…To eliminate external force measurement, a force estimation algorithm is proposed for the master and slave robots. …”
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Performance comparison between skyhook and semi active damping force estimator (SADE) algorithms for semi active suspension system / S. A. Abu Bakar ... [et al.]
Published 2018“…The Skyhook and Semi Active Damping Force Estimator (SADE) algorithms are used to control the operation of the MR damper in quarter car model’s suspension system. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…Using the attained flow vectors from this stage, interaction force estimation is done based on SFM theory. This experiment is done with the hypothesis that high magnitude of interaction force portrayed the abnormal behavior in a crowd. …”
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Crowd behavior monitoring using self-adaptive social force model
Published 2019“…The estimated interaction forces of each particle represent the behavior of the crowd, whether it is normal or abnormal. …”
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Identification of ground vehicle's aerodynamic derivatives using neural network
Published 2008“…A reliable identification technique is a prerequisite to estimate the aerodynamic side force and the yaw moment. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…A combination of Principal Component Analysis (PPCA) and Gaussian Mixture Model (GMM) is proposedly in used for the classification phase as it is able to reduce any redundancy from the latent variables and carries only the most important information through dispersion of entropy. To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Computational modeling of running biomechanics in amateur runners
Published 2024“…On the other hand, focusing on muscle activations and joint moments during different running distances and with varying shoe cushioning, the results demonstrated that CMC provided the most accurate muscle force estimations, exhibiting the lowest root mean square error (RMSE) and highest correlation, though at the cost of increased computational time. …”
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Final Year Project / Dissertation / Thesis -
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Intelligent material handling mobile robot for industrial purpose with active force control capability
Published 2005“…An integrated kinematic and dynamic control with embedded intelligent algorithms were the main approaches employed for the robust motion control of a mobile manipulator (MM) comprising a differentially driven wheeled mobile base platform with a two-link planar arm mounted on top of the platform. …”
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Early Detection Of ADHD Among Children Using Machine Learning
Published 2023“…This abstract explores the significance of early ADHD detection, the potential of fMRI for ADHD diagnosis, and the role of machine learning in facilitating early identification. …”
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Undergraduates Project Papers -
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Identification of microcalcification in mammographic images / Noor Azliza Abdul Shauti
Published 2008“…Identification microcaicifications images application was developed to improve detection of microcaicifications efficiency in image quality and high detection efficiency in early detection environments. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Then, the next step is to define the dominant components according to the relative energy distributions of wavelet packet transform (WPT) components of the acceleration responses, and transforming the equations of motion of the system in the time-domain to a reduced representation of the equations of motion based on the WPT. …”
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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things
Published 2023“…This work highlights the significance of leveraging deep transfer learning and IoT in achieving early identification of suspected COVID-19 patients. …”
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