How little does non-exact recovery help in group testing?

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This paper is a study on the use of Machine Learning and Deep Learning to determine the similarity between different musics. The first part introduces the framework used and some concepts of Deep Learning that will be used in the algorithms. The second par ...

In the last decade, Ultra High Performance Fibre Reinforced cement-based Composites (UHPFRC) have been increasingly implemented for rehabilitation and strengthening purposes, rendering outstanding results. The ease of application, along with their superior ...

Diabetes is a global epidemic with millions of people dying from it every year. Progress in microelectronics and machine learning has led to a huge number of FDA approvals of devices for continuous monitoring and treatment of diabetes with one product usin ...

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ERO is a 3D Monte-Carlo impurity transport and plasma-surface interaction code. In 2011 it was applied for the ITER first wall (FW) life time predictions [1] (critical blanket module BM11). After that the same code was significantly improved during its app ...

Accurate property determination of the piezoelectric thin film material Al(1-x)Sc(x)N is necessary for designing the next generation of radio frequency resonators in mobile communication, and for testing results of ab initio calculations. Sound velocity an ...

How little does non-exact recovery help in group testing?

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Deep Learning for Music: Similarity Search and Beyond

Towards the use of UHPFRC in railway bridges: the rehabilitation of Buna Bridge

Optical microsystems for genetically engineered biosensors. Case study: Glucose monitoring

Systems engineering and design of a Mars Polar Research Base with a human crew

Improved ERO modelling of beryllium erosion at ITER upper first wall panel using JET-ILW and PISCES-B experience

Material Parameter Extraction for Complex AlScN Thin Film Using Dual Mode Resonators in Combination with Advanced Microstructural Analysis and Finite Element Modeling