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Unsupervised Feature-Based Visualization Tool Applied on Medical Data
Published 2020“…In this research, we present a new unsupervised feature-based tool for data visualization titled “mirrored dendrograms”. Our tool accepts as input semi-structured and multi-featured data, and allows the user to select the target features to be visualized and mapped against each other, as well as their relative impacts (weights) on the visualization process. …”
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masterThesis -
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Toward an affordable automation scheme of friction stir processing
Published 2017“…Achieving such a control across the processed area requires real-time control of the process input variables in order to control the pertinent state variables (e.g., temperature, strain, and strain rate) throughout the process. …”
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Recognition and velocity computation of large moving objects in images
Published 2020Get full text
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Robust human face detection in complex color images
Published 2005Get full text
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DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor
Published 2020“…These reconstructed images are then fed as input features to the Machine Learning Systems to ultimately estimate the age of the apples. …”
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Experimental Validation of Numerical Model for Thermomechanical Performance of Material Extrusion Additive Manufacturing Process: Effect of Process Parameters
Published 2022“…The numerical models and simulation tools can predict the thermomechanical performance of the MEAM process under given input parameters (material, design, and process variables) and reduce the research and development costs significantly. …”
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Delineating melanoma using multimodal polarized light imaging
Published 2009“…Fluorescence of the methylene blue-stained samples was excited at 630 nm and registered between 650 and 750 nm. After imaging, the tissue was processed for standard H&E histopathology. …”
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Cardiometabolic biomarker prediction based on retinal fundus image
Published 2025“…<p dir="ltr">Diagnosing common noncommunicable diseases, such as cardiovascular disease and diabetes, typically relies on blood sample analysis for biomarker measurement. This process is invasive, time-consuming, and relatively expensive. …”
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Control and Optimization of Membrane Biological Reactor Processes
Published 2011Get full text
doctoralThesis -
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Progressive Early Image Recognition for Wireless Vision Sensor Networks
Published 2022“…To achieve the best possible trade-off, we propose in this paper a new concept that attempts to achieve image compression and early image recognition leading to lower bandwidth and smart image processing integrated at the sensing node. …”
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Model predictive control of shell benchmark process
Published 2003“…In this paper model predictive controller is proposed for the control of a two-input-two-output high purity shell distillation column. …”
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Multichannel image identification and restoration using continuousspatial domain modeling
Published 1997“…In this paper, a novel identification technique for multichannel image processing is presented. 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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