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Relevant bibliographies by topics / Permutation multi-group

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Academic literature on the topic 'Permutation multi-group'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Permutation multi-group"

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Yin, Yifeng, Kunpeng Liu, Chaofei Hu, and Yong Gan. "The Group Key Agreement Protocol Based on Multi-Dimensional Virtual Permutation." IEEE Communications Letters 24, no. 12 (2020): 2728–32. http://dx.doi.org/10.1109/lcomm.2020.3017660.

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Jiang, Yao-Yao, Wen-Bin Zhang, Peng-Cheng Chu, and Hong-Yang Ma. "Feedback search algorithm for multi-particle quantum walks over a ring based on permutation groups." Acta Physica Sinica 71, no. 3 (2022): 030201. http://dx.doi.org/10.7498/aps.71.20211000.

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In quantum computing science, much attention has been paid to how to construct quantum search algorithms better, moreover, searching for new search algorithms based on quantum walk is still attracting scholars' continuous in-depth research and exploration. In this paper, a multi-particle quantum walk search algorithm based on permutation group is proposed by considering many aspects, such as reducing time consumption and increasing the accuracy and controllability of algorithm search. Firstly, the permutation group can be regarded as a closed loop in space, and the permutation set is defined.

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Feng, Jingkai, and Jinguo Liu. "Configuration Enumeration of Multi-Limb Reconfigurable Modular Robots." Journal of Physics: Conference Series 2402, no. 1 (2022): 012032. http://dx.doi.org/10.1088/1742-6596/2402/1/012032.

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Abstract By introducing modular and reconfigurable designs, the Multi-limb Reconfigurable Modular Robots (MLRMR) have many different configurations instead of a single fixed configuration, which greatly expands the boundaries of the operation. However, the number of non-isomorphic configurations increases exponentially with the number of modules, making it necessary to explore the enumeration method theoretically. Based on the group theory, the permutation groups of the Multi-limb (including three-limb, four-limb, and five-limb) Reconfigurable Modular Robots are established in this paper, and

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Gibbons, Peter B., and Rudolf Mathon. "Construction methods for Bhaskar Rao and related designs." Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 42, no. 1 (1987): 5–30. http://dx.doi.org/10.1017/s1446788700033929.

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AbstractMathématical and computational techniques are described for constructing and enumerating generalized Bhaskar Rao designs (GBRD's). In particular, these methods are applied to GBRD(k + 1, k, 1(k − 1); G)'s for 1 ≥ 1. Properties of the enumerated designs, such as automorphism groups, resolutions and contracted designs are tabulated. Also described are applications to group divisible designs, multi-dimensional Howell cubes, generalized Room squares, equidistant permutation arrays, and doubly resolvable two-fold triple systems.

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Nie, Weihang, Zehui Yang, Lingxuan Ye, and Ji Xu. "Multi-target direction-of-arrival estimation of deep models with frame-level permutation invariant training in marine acoustic environment." Journal of the Acoustical Society of America 155, no. 1 (2024): 315–27. http://dx.doi.org/10.1121/10.0024349.

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Direction-of-arrival (DoA) estimation is an important part in sonar signal processing, providing a reliable foundation for tasks, such as underwater object detection and tracking. Although the deep learning model has powerful data fitting capabilities, accurately estimating the orientation of multiple targets with a single model remains a challenging task. To address this challenge, we enhance the permutation invariant training (PIT) technique and propose two different types of methods: multi-group classification with PIT (MC-PIT) and multi-group regression with PIT (MR-PIT). These two frame-l

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Khameneh, Azadeh, and Adem Kiliçman. "m-Polar Fuzzy Soft Weighted Aggregation Operators and Their Applications in Group Decision-Making." Symmetry 10, no. 11 (2018): 636. http://dx.doi.org/10.3390/sym10110636.

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Aggregation operators are important tools for solving multi-attribute group decision-making (MAGDM) problems. The main challenging issue for aggregating data in a MAGDM problem is how to develop a symmetric aggregation operator expressing the decision makers’ behavior. In the literature, there are some methods dealing with this difficulty; however, they lack an effective approach for multi-polar inputs. In this study, a new aggregation operator for m-polar fuzzy soft sets (M-pFSMWM) reflecting different agreement scenarios within a group is presented to proceed MAGDM problems in which both att

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Cook, Diane J., Miranda Strickland, and Maureen Schmitter-Edgecombe. "Detecting Smartwatch-Based Behavior Change in Response to a Multi-Domain Brain Health Intervention." ACM Transactions on Computing for Healthcare 3, no. 3 (2022): 1–18. http://dx.doi.org/10.1145/3508020.

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In this study, we introduce and validate a computational method to detect lifestyle change that occurs in response to a multi-domain healthy brain aging intervention. To detect behavior change, digital behavior markers are extracted from smartwatch sensor data and a permutation-based change detection algorithm quantifies the change in marker-based behavior from a pre-intervention, 1-week baseline. To validate the method, we verify that changes are successfully detected from synthetic data with known pattern differences. Next, we employ this method to detect overall behavior change for n = 28 b

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Fazekas, Levente, Boldizsár Tüű-Szabó, László T. Kóczy, Olivér Hornyák, and Károly Nehéz. "A Hybrid Discrete Memetic Algorithm for Solving Flow-Shop Scheduling Problems." Algorithms 16, no. 9 (2023): 406. http://dx.doi.org/10.3390/a16090406.

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Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan. Because of the high complexity and intractability of the problem, apart from some exceptional cases, there are no explicit algorithms for finding the optimal permutation in multi-machine environments. Therefore, different heuristic approaches, including evolutionary and memetic algorithms, are used to obtain the solution—or at least, a close enough approximation of the optimum. This paper proposes a novel approach: a novel combination of

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E.R., Genevie, Ungku Fatimah, U.Z.A., Samuel L., and Nuzul N.J. "The moderating effects of gender and education level on safe food handling intention among consumers in Sibu, Malaysia: based on the Theory of Planned Behavior." Food Research 4, no. 2 (2019): 366–74. http://dx.doi.org/10.26656/fr.2017.4(2).299.

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The consumers who did not comply with safe food-handling practices also contributed to the occurrence of food contamination. This study adapted the Theory of Planned Behavior (TPB) to examine the moderating effect of gender and level of education differences that influence the intention of safe food handling at home. A total of 623 consumers based in Sibu, Malaysia completed a questionnaire that measured attitude, subjective norm, perceived behavior control (PBC), and intention. Based on PLS-SEM multi-group analysis (PLS-MGA) by permutation approach, gender demonstrated no moderating effect on

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Jiang, Yufei, Zhu Xu, Enggee Lim, and Huang Yi. "Orthogonal sequences based multi-CFO estimation and semi-blind ICA based equalization for multiuser comp systems." Computer Science and Information Systems 9, no. 4 (2012): 1385–406. http://dx.doi.org/10.2298/csis120303051j.

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We propose a low-complexity carrier frequency offset (CFO) estimation approach and an independent component analysis (ICA) based semi-blind equalization structure for the orthogonal frequency division multiplexing (OFDM) based multiuser coordinated multi-point (CoMP) systems. A group of orthogonal sequences are employed to enable separation and simultaneous estimation of multiple CFOs at base stations, dividing a complex multi-dimensional search into series of low-complexity mono-dimensional searches. Then, a small number of pilot symbols attached to the source data, are used to resolve the am

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Book chapters on the topic "Permutation multi-group"

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Chin, Wynne W., Annette M. Mills, Douglas J. Steel, and Andrew Schwarz. "Multi-group Invariance Testing: An Illustrative Comparison of PLS Permutation and Covariance-Based SEM Invariance Analysis." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40643-5_20.

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Chin, Wynne W., and Jens Dibbern. "An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA." In Handbook of Partial Least Squares. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-32827-8_8.

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Conference papers on the topic "Permutation multi-group"

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Golabchi, Y., M. A. Perras, and U. T. Khan. "Predicting Excavation-Induced Damage Depth Through MLP." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0431.

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ABSTRACT: Being able to predict the dimensions of excavation damage zones (EDZs) is crucial for the design of permeability-sensitive structures. This study focuses on predicting excavation-induced damage depth using a machine learning method called multi-layer perceptron (MLP). The inputs of numerical models, used to model EDZs, were all used as features in the MLP to examine the influence on the predicted EDZ. Permutation analysis was employed to assess input feature importance. By, using Pearson and Spearman correlation matrices, the numerical input parameters were classified into three cate

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Reports on the topic "Permutation multi-group"

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Ramm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner, and Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks: Project summary report. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284511.

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Field crews recently collected more than 10 years of classification and mapping data in support of the North Coast and Cascades Inventory and Monitoring Network (NCCN) vegetation maps of Mount Rainier (MORA), Olympic (OLYM), and North Cascades (NOCA) National Parks. Synthesis and analysis of these 6000+ plots by Washington Natural Heritage Program (WNHP) and Institute for Natural Resources (INR) staff built on the foundation provided by the earlier classification work of Crawford et al. (2009). These analyses provided support for most of the provisional plant associations in Crawford et al. (2

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