Data Science

Volumetric Disentanglement: A Practical Path to Object-Level Editing in NeRF Scenes

Computer Science, Data Science, Geomatics, Uncategorized / Leave a Comment

Neural Radiance Fields (NeRFs) have changed how engineers think about 3D capture. With a modest set of photos, you can reconstruct impressively photorealistic 3D scenes. For many teams, that alone feels like magic. But then comes the real-world question: How do you edit those scenes? Remove a chair. Enlarge a TV. Swap out a tree […]

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Machine Learning Meets Soil Dynamics

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, Journal publication / Leave a Comment

A data-driven review shows how modern machine-learning models consistently outperform traditional empirical equations in predicting soil shear modulus and damping ratio, offering geotechnical engineers a clearer, more efficient path to characterizing dynamic soil behavior while highlighting practical limitations, data requirements, and future research needs. Why Soil Dynamics Still Challenge Engineers Accurate characterization of soil dynamic

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Advancing 3D Land Administration with Point Clouds

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, Journal publication / Leave a Comment

Discover how researchers are transforming urban land administration by integrating cadastral floor plans with nationwide airborne LiDAR to create detailed 3D point clouds, offering a cost-effective alternative to BIM for visualizing legal property boundaries in complex vertical structures—paving the way for scalable digital twins. The Challenge of Vertical Urbanization in Land Administration Urban areas are

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PACMANN: Smarter Point Placement for AI-Based PDE Solvers

Artificial Intelligence, Computer Science, Data Science, Journal publication / Leave a Comment

A gradient guided adaptive sampling method that repositions collocation points to reduce computational cost, improve stability, and help physics informed neural networks handle complex, high dimensional PDE simulations more efficiently, making advanced scientific machine learning more practical for real engineering analysis and design workflows today. Why Engineers Should Care Partial differential equations (PDEs) underpin much

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Shanghai’s 30-Year Land Subsidence Evolution

Artificial Intelligence, Computer Science, Data Science, Engineering, Geomatics, Journal publication / Leave a Comment

Dive into Shanghai’s sinking secrets: This study fuses 30 years of multi-sensor satellite data with AI modeling to map subsidence shifts from urban cores to coastal zones, revealing how groundwater management curbs rates and offers strategies for flood-resilient cities. The Subsidence Challenge Land subsidence in coastal megacities like Shanghai endangers infrastructure, increases flood risks, and

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Advancing Antarctic Ice Sheet Projections with Bedrock Modeling

Data Science, Engineering, Geomatics, Journal publication, Uncategorized / Leave a Comment

New research reveals how smarter, streamlined bedrock modeling can closely match complex 3D simulations, transforming Antarctic ice-sheet forecasts. By boosting speed without sacrificing accuracy, it sharpens sea-level rise predictions, empowers larger climate ensembles, and equips planners worldwide with clearer insights for coastal futures ahead today. A Serious Issue Antarctic ice melt contributes to sea-level rise,

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Advancing Road Inspections with Drones and AI

Artificial Intelligence, Civil Engineering, Data Science, Engineering, Infrastructure, Journal publication / Leave a Comment

What if engineers could scan entire road networks from the air and spot damage early, quickly, and safely? With drones and AI working together, pavement inspection is beginning to move from boots on the ground to intelligence in the sky. Here’s how UAV imagery and the YOLOv7 deep learning model support faster, safer, and more

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Indoor Positioning Using Augmented Reality

Computer Science, Data Science, Geomatics, MSc Thesis / Leave a Comment

Imagine stepping into a smoke-filled building during an emergency, where every second counts and traditional navigation fails—yet augmented reality glasses reveal your precise location on a digital floor plan, guiding rescuers to safety. In his 2020 MSc thesis, Laurens Oostwegel pioneered a solution using the Microsoft HoloLens to combat SLAM’s drift errors through continuous spatial

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AI for Wild Weather Swings; Challenges and Solutions

Artificial Intelligence, Computer Science, Data Science, Geomatics, Journal publication / Leave a Comment

This research pushes boundaries by fusing AI’s knack for spotting nonlinear links in massive datasets with the solid physics of climate models, proving we can boost reliable forecasts of extreme event stats—like how often or how bad they get—over subseasonal to decadal horizons. Why Forecasting Climate Extremes Matters In our warming world, ramped-up extremes like

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AI Unlocks the Secrets of City Sounds

Artificial Intelligence, Computer Science, Data Science, Geomatics, Journal publication / Leave a Comment

Revolutionizing How We Hear and Handle Urban Chaos This breakthrough AI model doesn’t just identify sounds like traffic or birds; it also predicts how annoying they feel, offering a game-changer for quieter, happier cities beyond old-school surveys. Why Urban Noise Hits Hard City noise isn’t just background buzz—it spikes stress, disrupts sleep, and harms health

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