Results 41 to 50 of about 150 (103)
On a theory of computation and complexity over the real numbers: đđ- completeness, recursive functions and universal machines [PDF]
A model for computation over the reals \({\mathbb{R}}\) (or an arbitrary ordered ring \({\mathcal R})\) is presented. A machine over \({\mathcal R}\) is a digraph with two kinds of nodes: computation (fan-out 1) nodes labelled by polynomial maps \({\mathfrak g}: {\mathcal R}^ n\to {\mathcal R}^ n\), and branching (fan-out 2) nodes labelled by tests ``\(
Blum, Lenore, Shub, Mike, Smale, Steve
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Real-Time Multi-Target Localization from Unmanned Aerial Vehicles
In order to improve the reconnaissance efficiency of unmanned aerial vehicle (UAV) electro-optical stabilized imaging systems, a real-time multi-target localization scheme based on an UAV electro-optical stabilized imaging system is proposed.
Xuan Wang, Jinghong Liu, Qianfei Zhou
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Laguerre functions on symmetric cones and recursion relations in the real case
In this article we derive differential recursion relations for the Laguerre functions on the cone C of positive definite real matrices. The highest weight representations of the group Sp(n,R) play a fundamental role. Each such representation acts on a Hilbert space of holomorphic functions on the tube domain C+ i Sym(n,R).
Aristidou, Michael +2 more
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In this paper, an accurate parameter identification algorithm is proposed for transient voltage profile calculation of the unknown transmission lines.
Seyyed Mohammad Sadegh Ghiasi +2 more
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A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries
The state of charge (SOC) estimation of Li-ion batteries has attracted substantial interests in recent years. Kalman Filter has been widely used in real-time battery SOC estimation, however, to build a suitable dynamic battery state-space model is a key ...
Li Zhang +5 more
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A comparison of identification criteria for inductive inference of recursive real-valued functions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eiju Hirowatari, Setsuo Arikawa
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Traditional LSTM models in e-commerce inventory forecasting suffer from gradient instability and poor adaptability to rapidly changing market conditions, resulting in suboptimal performance in real-time scenarios.
Jing Long, Yuan Lei
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Relocating activities along the fringe, re-designing economic functions, and re-modelling settlement structures across larger regions and broader spatial scales, reflect the inherent shift toward complex metropolitan systems.
Samaneh Sadat Nickayin +5 more
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Nonlinear model predictive control (NMPC) delivers high tracking accuracy for industrial processes but requires solving a nonlinear program at each sampling instant, limiting its applicability under tight real-time constraints.
Zhihao Zeng, Hao Wang, Yahui Shan
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Reduction of global interference in functional multidistance near-infrared spectroscopy using empirical mode decomposition and recursive least squares: a Monte Carlo study [PDF]
Functional near-infrared spectroscopy (fNIRS) is a sensitive technique that has the potential to detect haemodynamic changes during the performance of specific activation tasks.
Zhang Y., Sun J., Rolfe P.
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