Spatiotemporal analysis of water-electricity consumption in the context of the COVID-19 pandemic across six socioeconomic sectors in Doha City, Qatar by Ammar, Abulibdeh

“…The findings show that there is a distinction in water and electricity consumption at the block level across all sectors and over time. Hot spot and spatial regression analysis reveal spatial and temporal heterogeneities in the study area across the six socioeconomic sectors. …”
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An Innovative Platform Merging Elemental Analysis and Ftir Imaging for Breast Tissue Analysis by Mohamed H. M. Ali (5768066)

“…We show how to bring the images obtained by the two methods to a same spatial resolution and how to use image registration to analyze the data originating from both techniques as one block of data. …”

Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language by Shanableh, Tamer

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Spatiotemporal analysis of water-electricity consumption in the context of the COVID-19 pandemic across six socioeconomic sectors in Doha City, Qatar by Ammar Abulibdeh (15785928)

“…The findings show that there is a distinction in water and electricity consumption at the block level across all sectors and over time. Hot spot and spatial regression analysis reveal spatial and temporal heterogeneities in the study area across the six socioeconomic sectors. …”

Urban land suitability analysis using geospatial techniques and combined weighting approach in Gabes zone, Southeastern Tunisia by Dhekra Souissi (19438291)

ECG-based cardiac arrhythmias detection through ensemble learning and fusion of deep spatial–temporal and long-range dependency features by Sadia Din (18136919)

“…Heart arrhythmias are diagnosed by analyzing the electrocardiogram (ECG) of patients. Manual analysis of ECG is time-consuming and challenging. …”

Spatiotemporal Variation in Mangrove Chlorophyll Concentration using Remote Sensing Technique by Ali Mohamed (3546578)

“…This methodology can be further extended tocreate spatial maps of chlorophyll concentration, aiding in the assessment of ecosystem health and assisting conservation and management initiatives in the region.…”

Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

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Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

Geospatial Assessment of Healthcare Accessibility and Equity in Qatar in Preparation for the 2022 FIFA World Cup by Ammar Abulibdeh (15785928)

“…Assessment of the healthcare infrastructure is made using various techniques within a Geographic Information Systems (GIS) framework, like kernel density estimation, network analysis, and proximity analysis. …”

HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images by Zahoor Ahmad (358103)

“…Our method integrates deep learning models to achieve precise localization and classification of cell nuclei with spatial data aggregation to extend classes of sparsely distributed nuclei across the entire slide. …”

Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography by Yahia, Mohamed

“…Results showed that the proposed method is capable of accurately detecting and locating water leakage, which is an improvement to the false detections of spatial thermal IR analysis.…”
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Pool Free Rapid Segmentation Network (PFRS-Net) to detect human blastocyst compartments for embryonic assessment by Abida Hussain (22049752)

“…A detailed morphological analysis of these blastocysts is performed, assessing their distinct components, including the trophectoderm (TE), zona pellucida (ZP), inner cell mass (ICM), and blastocoel (BL), using manual microscopic techniques. …”

LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress by Almadani, Ismat Feras Ismat

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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

“…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …”

Computational generation of multiphase asphalt nanostructures using random fields by Mohammad Aljarrah (14779588)

“…Image analysis techniques are used to identify and segment nanostructure images obtained by atomic force microscopy, while RF is used to model the spatial distribution of their material properties. …”

Identifying patterns of plant “waste accumulation” in House 169, Elephantine Island, Egypt (1773–1650 BCE) using Machine Learning by Malleson, Claire

“…However, the results of our two-step approach in data analysis revealed some patterns. A hierarchical clustering strategy applied to the composition of the samples yielded 2 to 4 reasonably equally sized clusters among the collected samples; subsequently, evolutionary prediction trees – our additional step in Machine Learning – served to relate spatial, temporal, and functional variables to cluster membership. …”
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A Decision Modelling Approach for Perceived and Engaged Immersive Visual Interactive Applications on the Metaverse by IBRAHIM, SAMAR

“…The robustness and reliability of the results were validated and evaluated using sensitivity analysis, comparative analysis, and a systematic ranking process. …”
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Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers by Heba M. Abdullah (16896384)

“…The charger placement problem is formulated as a complex Multi-Criteria Decision Making (MCDM) which combines spatial analysis techniques, power network load flow, traffic flow models, and constrained procedures. …”

Potential of GTL biosolids in a circular economy: investigating blending, pyrolysis, activation, and characterisation by Shifa Zuhara (14150862)

“…One aspect of this vision is to convert waste into value-added products, which will reduce the environmental and spatial burden associated with waste in Qatar, while contributing to a circular economy. …”