Physical Sciences and Mathematics Commons^™

Mgrre_Thinsections_Mgrre-101_5, Mgrre

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Mgrre_Thinsections_Mgrre-101_8, Mgrre

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Mgrre_Thinsections_Mgrre-101_9, Mgrre

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Mgrre_Thinsections_Mgrre-101_7, Mgrre

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Mgrre_Thinsections_Mgrre-101_11, Mgrre

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Mgrre_Thinsections_Mgrre-101_13, Mgrre

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Mgrre_Thinsections_Mgrre-101_10, Mgrre

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Mgrre_Thinsections_Mgrre-101_12, Mgrre

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Mgrre_Thinsections_Mgrre-101_15, Mgrre

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Mgrre_Thinsections_Mgrre-101_18, Mgrre

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Mgrre_Thinsections_Mgrre-101_16, Mgrre

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Mgrre_Thinsections_Mgrre-101_19, Mgrre

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Mgrre_Thinsections_Mgrre-101_17, Mgrre

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Mgrre_Thinsections_Mgrre-101_21, Mgrre

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Mgrre_Thinsections_Mgrre-101_25, Mgrre

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Mgrre_Thinsections_Mgrre-101_22, Mgrre

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Mgrre_Thinsections_Mgrre-102_2, Mgrre

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Mgrre_Thinsections_Mgrre-101_24, Mgrre

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Mgrre_Thinsections_Mgrre-102_3, Mgrre

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Mgrre_Thinsections_Mgrre-102_6, Mgrre

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Mgrre_Thinsections_Mgrre-102_9, Mgrre

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Mgrre_Thinsections_Mgrre-102_8, Mgrre

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Mgrre_Thinsections_Mgrre-102_7, Mgrre

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Mgrre_Thinsections_Mgrre-102_14, Mgrre

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Mgrre_Thinsections_Mgrre-102_13, Mgrre

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Mgrre_Thinsections_Mgrre-102_11, Mgrre

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Mgrre_Thinsections_Mgrre-102_15, Mgrre

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Advanced Mathematical Modeling And Data-Driven Techniques For The Diagnosis Of Diabetes Using Continuous Glucose Monitoring (Cgm) Data, Farah Morsi

Theses

Diabetes mellitus is a major and growing health challenge, particularly in the Middle East and North Africa (MENA) region. Continuous Glucose Monitoring (CGM) provides high-resolution time-series data that capture detailed glucose fluctuations over time. However, conventional CGM summary measures, such as mean glucose, standard deviation, and time-in-range, may not fully describe the nonlinear temporal structure of glucose dynamics.

This thesis investigates nonlinear dynamical approaches for analyzing CGM time series, with a focus on recurrence-based analysis and ordinal-network analysis. Recurrence-based methods, including recurrence quantification analysis (RQA), are used to characterize geometric and temporal patterns in reconstructed phase space, while ordinal networks …

Sea-Ice Observation In The Arctic By The Arab Satellite 813, Simulated By The Radiative Transfer Model ‘Sciatran’, Tuqa Mohsin Al Hajri

Theses

The purpose of this research is to explore the spectral behavior of sea ice and to understand how Arctic sea ice surfaces appear when they are observed with a hyperspectral sensor. This is crucial because sea ice changes a lot during the melt season, and different surface types can sometimes look similar to a human eye, but physically they are different. It is thus essential to identify the spectral differences between these surfaces. The main objective of this study is to examine how the spectra of white ice and melt ponds change when their physical and optical properties are varied, …

Georoad-Upernet: Geo-1-Based Weakly Supervised Multispectral Road Extraction Via Role-Aware Context Fusion And Semantic Regularization, Shaoqian Chen, Yunliang Chen, Jianxin Li, Ao Yang

Research outputs 2022 to 2026

Extracting roads accurately from remote sensing images is important for map updates, traffic analysis, and infrastructure monitoring. Medium-resolution multispectral images can provide useful surface and background information, but when used alone, the spatial details are limited for retaining narrow roads, intersection structures, and fine road topologies. To address this problem, this paper proposes GeoRoad-UPerNet, a Geo-1-centered weakly supervised multispectral framework for road extraction. In this framework, Geo-1 serves as the primary 16-band multispectral source, Sentinel-2 Level-2A imagery serves as auxiliary contextual support, and OpenStreetMap (OSM) road information is converted into proxy supervision rather than dense manual ground truth. GeoRoad-UPerNet contains …