Answer validation for generic crowdsourcing tasks with minimal efforts

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Urban air quality is a major concern in the context of human health since cities are at the same time emission hot spots and home to a large fraction of the world's population. Airborne imaging spectrometers may be a valuable addition to traditional air po ...

Diabetes is a rapidly growing disease, with important complications that decrease the quality of life of patients. Diabetic Foot Ulceration is a major complication of diabetes and can lead to gangrene and amputation. It is related to high pressure develope ...

The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. H ...

Over recent years, the manufacturing industry has seen constant growth and change. From one side, it has been affected by the fourth industrial revolution (Industry 4.0). From the other side, it has had to enhance its ability to meet higher customer expect ...

Despite the rise in services generating learning analytics, there is a lack of standard models and guidelines for data integration and aggregation to inform the design choices of applications supporting learning analytics. We propose a bottom-up, user-driv ...

The community-driven initiative Quality Assessment and Reproducibility for Instruments & Images in Light Microscopy (QUAREP-LiMi) wants to improve reproducibility for light microscopy image data through quality control (QC) management of instruments and im ...

Contemporary manufacturing companies pay a lot of attention to product quality as this aspect affects directly their competitiveness, productivity and the reputation of the company. Traditional quality improvement methods such as Six Sigma, Lean etc. seems ...

Refineries execute a series of interlinked processes, where the product of one unit serves as the input to another process. Potential failures within these processes affect the quality of the end products, operational efficiency, and revenue of the entire ...

Deepfakes first came to prominence less than five years ago. Since then, they have surged in quantity and quality, becoming both a source of viral entertainment and of concern about the dark side of digital life. In this article, we provide a risk governan ...

A machine learning meshing scheme for the generation of 2-D simplicial meshes is proposed based on the predictions of neural networks. The data extracted from meshed contours are utilized to train neural networks which are used to approximate the number of ...

Lossy image compression is a popular, simple and effective solution to reduce the amount of data representing digital pictures. In most lossy compression methods, the reduced volume of data in bits is achieved at the expense of introducing visual artifacts ...

The increasing availability of extensive and accurate clinical data is rapidly shaping cardiovascular care by improving the understanding of physiological and pathological mechanisms of the cardiovascular system and opening new frontiers in designing thera ...

Answer validation for generic crowdsourcing tasks with minimal efforts

Chattez avec Graph Search

Importance of 3D radiative transfer effects on high-resolution NO2 remote sensing in cities

Pressure Offloading Device for Diabetic Footwear Based on Magnetorheological Fluids

UAV in the advent of the twenties: Where we stand and what is next

A generic methodology and a digital twin for zero defect manufacturing (ZDM) performance mapping towards design for ZDM

An Integrated Approach to Learning Analytics

QUAREP-LiMi: a community endeavor to advance quality assessment and reproducibility in light microscopy

Comparison Between Product and Process Oriented Zero-Defect Manufacturing (ZDM) Approaches

Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring

Risk governance and the rise of deepfakes

How to teach neural networks to mesh: Application on 2-D simplicial contours

Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts

Data integration for the numerical simulation of cardiac electrophysiology