This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2017. Edited by Kenneth A. Ribet, University of California, Berkeley, CA ...
Abstract: This article presents the design and implementation of a speed control system for a direct-current (DC) motor that improves the performance of an earlier design reported in the literature by ...
Abstract: This paper presents an improved method using inverse hyperbolic functions to calculate the mutual inductance and self-inductance of coaxial circular coils with rectangular cross section and ...
This is the official implementation of the paper "Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation". Geo-Sign projects pose-based sign-language features into a ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...
Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Optimizers for Learned Curvatures In their hyperbolic learning library GeoOpt, Kochurov et al. ...
The design envisions active involvement of local residents in the building process, framing the stadium as a collective act of recovery after the 2011 earthquake and nuclear disaster. Structural ...
Hyp-OC, is the first work exploring hyperbolic embeddings for one-class face anti-spoofing (OC-FAS). 1️⃣ We show that using hyperbolic space helps learn a better decision boundary than the Euclidean ...
Centre for Nano Science and Technology, Fondazione Istituto Italiano di Tecnologia Via Rubattino 81, Milano 20134, Italy ...
An accurate and easy-to-use gross primary productivity (GPP) model is essential for studying the spatial and temporal dynamics of the terrestrial carbon cycle on a global scale. Light use efficiency ...
Controlling variable wind speed turbine (VWT) system based on a doubly-fed induction generator (DFIG) is a challenging task. It requires a control law that is both adaptable and robust enough to ...
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