A SCC Recursive Meta-Algorithm for Computing Preferred Labellings in Abstract Argumentation [PDF]
, 2014 This paper presents a meta-algorithm for the computation of preferred labellings, based on the general recursive schema for argumentation semantics called SCC-Recursiveness.
Vallati, Mauro +3 more
core +2 more sources
A Fast Novel Recursive Algorithm for Computing the Inverse of a Generalized Vandermonde Matrix
Axioms, 2022 The main research object of this paper is to present a systematic computational procedure for computing the inverse of a generalized Vandermonde matrix.
Ahmed Arafat, Moawwad El-Mikkawy
doaj +1 more source
Fast-tracking method of inertial constant based on system identification
Science and Technology for Energy TransitionAiming at the problem of quantitative inertia evaluation of a new energy electric power system, the system inertia constant tracking method based on system identification is studied.
Hu Xuekai +4 more
doaj +1 more source
Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm
Entropy, 2018 The maximum complex correntropy criterion (MCCC) has been extended to complex domain for dealing with complex-valued data in the presence of impulsive noise.
Guobing Qian, Dan Luo, Shiyuan Wang
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Research on Aircraft Performance Monitoring Parameter Selection Based on Improved Window Algorithm
Hangkong gongcheng jinzhan, 2021 The suitable aircraft performance monitoring(APM)parameters selection method can realize the efficient selection of domestic civil cruising APM parameters,which can provide the reliable data basis of aircraft performance analysis and calculation.The Sage-
QIAN Yu, WANG Lixin, LIU Yu
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On Multiple-Resonator-based Implementation of IEC/IEEE Standard P-Class Compliant PMUs
Energies, 2021 This article deals with the implementation of the P-Class PMU compliant with IEC/IEEE Standard 60255-118-1:2018 by usage of a multiple-resonator (MR)-based approach for harmonic analysis having been proposed recently. In previously published articles, it
Miodrag D. Kušljević +2 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Recursive and Non-Recursive Theoretical Closed-Form Hybrid Incremental LMS Algorithm
IEEE AccessA novel hybrid incremental least mean square algorithm (HILMS) based on discrete cosine transform (DCT) and variable step-size (VSS) algorithms is developed and analyzed in wireless sensor networks (WSNs) and agent localization.
Ali Almohammedi +2 more
doaj +1 more source
Analysing recursive preprocessing of BKZ lattice reduction algorithm
, 2016 Lattice problems are considered as the key elements in many areas of computer science as well as in cryptography; the most important of which is the shortest vector problem and its approximate variants.
Pieprzyk, Josef, Haque, Md. Mokammel
core +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source