Quantifying structure complexity in filamentous matter, like proteins and polymers, via topological metrics, can be of prohibitive computational cost. A classical example is the Jones polynomial, ...

A comprehensive book on data structures and algorithms, with tested TypeScript implementations. Covers the core curriculum of an undergraduate algorithms course - from sorting and searching through ...

Abstract: Expectation propagation (EP) and its approximation algorithms achieve near-optimal signal detection in massive multiple-input multiple-output (MIMO) systems with substantially reduced ...

1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...

Quantum hardware is prone to errors and quantum error correction is a fundamental technique in quantum computing. We present an automated method to synthesize ...

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...

Edit distance—a classical problem in computer science—has received ongoing attention from both practitioners and theoreticians. Given two strings A and B, the edit distance is the minimum number of ...

1 School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin, China. 2 Sichuan Key Laboratory of Artificial Intelligence, Yibin, China. With the continuous ...

Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...

Samsung is unquestionably the leader in the mobile display space. Its OLED panels are second to none, and the Korean giant is far from complacent in its leading position. Quite the contrary. Samsung ...