25 hasil untuk "Rami Al-Ruzouq"
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Bab Buku Teks lengkap
Photogrammetry for Archaeological Documentation and Cultural Heritage Conservation
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Artikel Jurnal
Three-dimensional modeling and defect quantification of existing concrete bridges based on photogrammetry and computer aided design
Bridge infrastructure is aging and deteriorating and requires innovative condition monitoring and assessment to ensure safety and maintain serviceability. Current practices for bridge condition assessment depend mainly on visual inspection. Innovative data collection technologies can assist in…
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Artikel Jurnal
Assessing the long-term impact of COVID-19 on travel behavior: The United Arab Emirates perspective
The unprecedented COVID-19 pandemic has caused significant short-term travel disruptions and profound changes in daily travel routines. Yet, the long-term impact on travel behavior and mobility remains unclear. The present study examines the enduring effects of COVID-19 on travel patterns in the…
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Artikel Jurnal
Nondestructive deformation measurements and crack assessment of concrete structure using close-range photogrammetry
Reliable measurement of deformations and crack assessment of concrete structural elements under loading is essential for evaluating the performance and durability of these elements. Traditionally, structural elements are monitored under loading with strain gauges, deflectometer, and data…
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Artikel Jurnal Teks lengkap
Image Segmentation Parameter Selection and Ant Colony Optimization for Date Palm Tree Detection and Mapping from Very-High-Spatial-Resolution Aerial Imagery
Accurate mapping of date palm trees is essential for their sustainable management, yield estimation, and environmental studies. In this study, we integrated geographic object-based image analysis, class-specific accuracy measures, fractional factorial design, metaheuristic feature-selection…
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Artikel Jurnal
Automating the estimation of turning movement rates at multilane roundabouts using unmanned aerial vehicles and deep learning
Estimating turning movement rates (TMRs) at multilane roundabouts is more complex than that at conventional intersections due to the vehicle maneuvers and the difficulty of tracking each vehicle through the roundabout. Traditional data collection methods often fail to capture these interactions…
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Artikel Jurnal Teks lengkap
Integrated Archaeological Modeling Based on Geomatics Techniques and Ground-Penetrating Radar
Archaeological sites have been subjected to preservation efforts due to their significant historical and cultural value, as well as their vulnerability. Several advanced digital imageries and modeling technologies have been proposed in the literature and adopted in practice to obtain accurate data…
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Artikel Jurnal
Artificial intelligence applications in pavement infrastructure damage detection with automated three-dimensional imaging – A systematic review
Pavement damage detection is vital in ensuring road-users safety and reducing economic losses related to maintenance and road incidents, thus making it a highly discussed research topic. Non-destructive pavement damage inspection methods have been rigorously explored, compared and integrated in the…
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Artikel Jurnal
State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) for traffic and safety analyses: Recent progress, applications, challenges, and opportunities
This review comprehensively examines the intersection of Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence (AI) in traffic and safety analyses, addressing their transformative impact on traffic monitoring, safety assessment, and environmental studies. By systematically analyzing over 315…
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Artikel Jurnal Teks lengkap
Spatiotemporal Mapping and Monitoring of Whiting in the Semi-Enclosed Gulf Using Moderate Resolution Imaging Spectroradiometer (MODIS) Time Series Images and a Generic Ensemble Tree-Based Model
Whiting events in seas and lakes are a natural phenomenon caused by suspended calcium carbonate (CaCO3) particles. The Arabian Gulf, which is a semi-enclosed sea, is prone to extensive whiting that covers tens of thousands of square kilometres. Despite the extent and frequency of whiting events in…
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Artikel Jurnal
A Case-Based Reasoning and Random Forest Framework for Selecting Preventive Maintenance of Flexible Pavement Sections
Pavement maintenance decision-making is receiving significant attention in recent research, since pavement infrastructure is aging and deteriorating. The decision-making process is mainly related to selecting the most appropriate maintenance intervention for pavement sections to ensure performance…
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Artikel Jurnal
Has our long-term trip-making behavior changed due to COVID-19?
This study investigates the impact of the COVID-19 pandemic on travel risk perceptions and shopping habits among individuals in the United Arab Emirates (UAE). The study's primary objectives are to analyze changes in travel risk perceptions and to examine shifts in travel behaviors and shopping…
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Artikel Jurnal Teks lengkap
Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images
Large-scale mapping of date palm trees is vital for their consistent monitoring and sustainable management, considering their substantial commercial, environmental, and cultural value. This study presents an automatic approach for the large-scale mapping of date palm trees from…
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Artikel Jurnal Teks lengkap
Large-Scale Date Palm Tree Segmentation from Multiscale UAV-Based and Aerial Images Using Deep Vision Transformers
The reliable and efficient large-scale mapping of date palm trees from remotely sensed data is crucial for developing palm tree inventories, continuous monitoring, vulnerability assessments, environmental control, and long-term management. Given the increasing availability of UAV images with…
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Artikel Jurnal Teks lengkap
Sensors, Features, and Machine Learning for Oil Spill Detection and Monitoring: A Review
Remote sensing technologies and machine learning (ML) algorithms play an increasingly important role in accurate detection and monitoring of oil spill slicks, assisting scientists in forecasting their trajectories, developing clean-up plans, taking timely and urgent actions, and applying effective…
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Artikel Jurnal
A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data
Transformer-based semantic segmentation architectures excel in extracting road networks from very-high-resolution (VHR) satellite images due to their ability to capture global contextual information. Nonetheless, there is a gap in research regarding their comparative effectiveness, efficiency, and…
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Artikel Jurnal
Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data
Date palm plantations in the United Arab Emirates (UAE) are under threat from soil salinity, drought, and date palm weevils. Accordingly, monitoring and conserving date palms are crucial to preserving a vital component of the country’s agricultural heritage, economy, food security, and ecological…
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Artikel Jurnal Teks lengkap
Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification
Considering the high-level details in an ultrahigh-spatial-resolution (UHSR) unmanned aerial vehicle (UAV) dataset, detailed mapping of heterogeneous urban landscapes is extremely challenging because of the spectral similarity between classes. In this study, adaptive hierarchical image segmentation…
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Artikel Jurnal
Hybrid deep learning and remote sensing for the delineation of artificial groundwater recharge zones
The increase in water demand and the scarcity of fresh water in arid regions have contributed to the depletion of groundwater. Artificial Groundwater Recharge (AGR) is an advanced strategy that contributes to combating water shortage issues. Limited efforts have been exerted to evaluate and…
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Artikel Jurnal
Advanced geo-vision transformer for prediction and mitigation of urban heat islands in semi-arid regions
Urban Heat Islands (UHIs) pose a significant environmental health challenge, especially in semi-arid areas, where growing urbanization exacerbates thermal stress. Traditional studies on UHI often lacked predictive capabilities and in-depth spatial analysis. Therefore, the current study explores the…