The Advent of the 4D Mirror World

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The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

Digital brain atlases define a hierarchy of brain regions and their locations in three-dimensional space. They provide a standard coordinate system in which diverse datasets can be integrated for visualization and analysis. They also enable building of dat ...

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

This contribution explores the combined capabilities of reduced basis methods and IsoGeometric Analysis (IGA) in the context of parameterized partial differential equations. The introduction of IGA enables a unified simulation framework based on a single g ...

As unconventional sources of geoinformation, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multiperspective stream, but with unknown and diverse quality. Due to its complementarity to rem ...

Current research of designing prosthetic robotic hands mainly focuses on improving their functionality by devising new mechanical structures and actuation systems. Most of existing work relies on a single structure/system (e.g., bone-only or tissue-only) a ...

In this work we perform a neutron Bragg edge tomography of stainless steel 316L additive manufacturing samples, one as built via standard laser powder bed fusion, and one using the novel three-dimensional (3D) laser shock peening technique. First, we consi ...

Providing Virtual Reality(VR) users with a 3D representation of their body complements the experience of immersion and presence in the virtual world with the experience of being physically located and more personally involved. A full-body avatar representa ...

For the past twenty years, the adoption of Virtual Geographic Environments is thriving. This democratization is due to numerous new opportunities offered by this medium. However, in participatory urban planning these interactive 3D geovisualizations are st ...

Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. The COUGHVID dataset provide ...

Overview Cough audio signal classification has been successfully used to diagnose a variety of respiratory conditions, and there has been significant interest in leveraging Machine Learning (ML) to provide widespread COVID-19 screening. Th ...

By focusing on technologies of virtual reality in conjunction with theories of “place” and “presence,” this chapter outlines the importance of new approaches to the museological experience and exploration of ancient cities and cultural heritage sites. Expl ...

Centimetre level precision mapping is essential for many applications such as land-use, infrastructure inspection, cultural heritage preservation, and construction site monitoring. However, the acquisition and its preparation (in particular the setting of ...

Spurred by the recent advancements in Computer-Aided Design (CAD), Integral Mechanical Attachment (IMA) technique has been resurrected. Using IMAs, connections between timber elements are established through their form, instead of using additional connecto ...

Grayscale electron beam lithography (g-EBL) is a fabrication technique that allows for tunable control of resist topography. In most cases, the height of the structures is in the submicron regime. Here, we present an extensive experimental characterization ...

Combining halide perovskites with tailored dimensionality into two/three-dimensional (2D/3D) systems has revealed a powerful strategy to boost the performances of perovskite photovoltaics (PVs). Despite recent advances, a clear understanding of the intimat ...

Location-based embedding is a fundamental problem to solve in location-based social network (LBSN). In this paper, we propose a geographical convolutional neural tensor network (GeoCNTN) as a generic embedding model. GeoCNTN first takes the raw location da ...

The need for reduction in CO2 emissions to mitigate global warming has resulted in increasing use of renewable energy sources. In urban areas, solar photovoltaic (PV) deployment on existing rooftops is one of the most viable sustainable energy resources. T ...

Geographic Information Systems (GIS) are becoming increasingly popular in the context of molecular ecology and conservation biology thanks to their display options efficiency, flexibility and management of geodata. Indeed, spatial data for wildlife and liv ...

The Advent of the 4D Mirror World

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Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Enhancement of brain atlases with region-specific coordinate systems: flatmaps and barrel column annotations

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

Geoinformation Harvesting From Social Media Data: A community remote sensing approach

Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area

Fast 3D Modeling of Prosthetic Robotic Hands Based on a Multi-Layer Deformable Design

Bragg edge tomography characterization of additively manufactured 316L steel

Reaching articular limits can negatively impact embodiment in virtual reality

How do users interact with Virtual Geographic Environments? Users' behavior evaluation in urban participatory planning

The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms

Omnidirectional Strategies for Exploring Ancient Cities and Territories

On the adjustment, calibration and orientation of drone photogrammetry and laser-scanning

Mechanical Characterization of Integrally-Attached Timber Plate Structures: Experimental studies and macro modeling technique

Grayscale e-beam lithography: Effects of a delayed development for well-controlled 3D patterning

Crystal Orientation Drives the Interface Physics at Two/Three-Dimensional Hybrid Perovskites

Geographical Feature Extraction for Entities in Location-based Social Networks

Quantifying rooftop photovoltaic solar energy potential: A machine learning approach

Simple rules for an efficient use of Geographic Information Systems in molecular ecology