Academic literature on the topic 'Regularisation'

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Journal articles on the topic "Regularisation"

1

Smit, Monika, Moira Galloway, Mina Vijkhuijs, and Mariska Kromhout. "The ‘Pardon Regulation’: Implementation and outcome of a regularisation programme in the Netherlands." Migration Letters 13, no. 1 (2015): 144–58. http://dx.doi.org/10.33182/ml.v13i1.269.

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Regularisation programmes that are intended to legalise the stay of undocumented migrants may provoke public resistance and heated political debates. Governments nevertheless go ahead with such programmes. In the Netherlands, a regularisation programme to settle the legacy of an old Aliens Law, known as the ‘Pardon Regulation’, was implemented in 2007. In this contribution we describe the implementation and outcome of the Pardon Regulation, which led to over 28,000 regularisations. We focus on the question to what extent pitfalls that were experienced in a number of regularisation programmes in other European countries were avoided and intended goals were met.
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2

Kraler, Albert. "Fixing, Adjusting, Regulating, Protecting Human Rights - The Shifting Uses of Regularisations in the European Union." European Journal of Migration and Law 13, no. 3 (2011): 297–316. http://dx.doi.org/10.1163/157181611x587865.

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AbstractAlmost all Member States in the European Union currently make use, or in the past have made use of some form of regularisation of irregular immigrants, although to greatly varying degrees, in different ways and as a rule only reluctantly. A distinct feature of recent regularisations has been the shift towards a humanitarian justification of regularisation measures. In this context, regularisation has become reframed as an issue of the protection of irregular migrants’ human rights. As a result, regularisation has to some extent also been turned from a political tool in managing migration into an issue of international, European and national human rights law. While a human rights framework indeed offers a powerful rationale and at times compelling reasons why states ought to afford a legal status to irregular migrants, I argue that a human rights based approach must always be complemented by pragmatic considerations, as a human rights based justification of regularisation alone will be insufficient to find adequate responses to the changing presence of irregular migrants in the EU, not all of which can invoke human rights based claims to residence.
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3

Fife, Paul C., and Xiao-Ping Wang. "Periodic structures in a van der Waals fluid." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 128, no. 2 (1998): 235–50. http://dx.doi.org/10.1017/s0308210500012762.

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A system of partial differential equations modelling a van der Waals fluid or an elastic medium with nonmonotone pressure-density relation is studied. As the system changes type, regularisations are considered. The existence of one-dimensional periodic travelling waves, with prescribed average density in a certain range, average velocity and wavelength, is proved. They exhibit layer structure when the regularisation parameter is small. Similarities with the Cahn–Hilliard equation are explored.
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4

Liu, Yongshi, Xiaodong Yu, Jianjun Zhao, Changchun Pan, and Kai Sun. "Development of a Robust Data-Driven Soft Sensor for Multivariate Industrial Processes with Non-Gaussian Noise and Outliers." Mathematics 10, no. 20 (2022): 3837. http://dx.doi.org/10.3390/math10203837.

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Industrial processes are often nonlinear and multivariate and suffer from non-Gaussian noise and outliers in the process data, which cause significant challenges in data-driven modelling. To address these issues, a robust soft-sensing algorithm that integrates Huber’s M-estimation and adaptive regularisations with multilayer perceptron (MLP) is proposed in this paper. The proposed algorithm, called RAdLASSO-MLP, starts with an initially well-trained MLP for nonlinear data-driven modelling. Subsequently, the residuals of the proposed model are robustified with Huber’s M-estimation to improve the resistance to non-Gaussian noise and outliers. Moreover, a double L1-regularisation mechanism is introduced to minimise redundancies in the input and hidden layers of MLP. In addition, the maximal information coefficient (MIC) index is investigated and used to design the adaptive operator for the L1-regularisation of the input neurons to improve biased estimations with L1-regularisation. Including shrinkage parameters and Huber’s M-estimation parameter, the hyperparameters are determined via grid search and cross-validation. To evaluate the proposed algorithm, simulations were conducted with both an artificial dataset and an industrial dataset from a practical gasoline treatment process. The results indicate that the proposed algorithm is superior in terms of predictive accuracy and robustness to the classic MLP and the regularised soft-sensing approaches LASSO-MLP and dLASSO-MLP.
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5

Magina, Fredrick Bwire, Alphonce Kyessi, and Wilbard Kombe. "The Urban Land Nexus– Challenges and Opportunities of Regularising Informal Settlements: The Case Studies of Dar es Salaam and Mwanza in Tanzania." JOURNAL OF AFRICAN REAL ESTATE RESEARCH 5, no. 1 (2020): 32–54. http://dx.doi.org/10.15641/jarer.v5i1.837.

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Informal settlements in Tanzania accommodate more than 70% of the urban population. Owing to this, the Tanzanian government has undertaken several initiatives to address the growing size and number of informal settlements. One such initiative is regularisation which addresses security of tenure for residents of these settlements. Most of the people living in informal settlements lack legal land ownership and as a result properties in such settlements have relatively less value and lack security of tenure. Providing security of tenure is believed to encourage investment into informal households and facilitate the provision of urban services. This study aims to evaluate the process of regularisation in three Tanzanian settlements; Magengenu in Dar es Salaam (Tanzania’s largest city), Ibungilo and Isamilo in Mwanza city (the nation’s second largest city). Using qualitative data the paper explores the challenges and opportunities that emerged from regularisation. Findings indicate that the regularisation process has facilitated the issuance of title deeds, increased land value and security of tenure. However, a number of challenges were highlighted during regularisation. These include an over-emphasis on the protection of private rights while undermining public interests, a lack of harmonised cost for regularisation, and prolonged delays in completing the regularisation process. These require policy actions, particularly reviewing the national informal settlements regularisation guidelines, as a way to address the weaknesses emerging from regularisation projects in the studied settlements. We conclude that land regularisation remains an important tool to enhance livable cities and protect long-term public and private interests in land development. In order to achieve this, supportive policy actions are required to support the protection of public interests in land regularisation and harmonise the costs of regularisation.
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6

Bonora, Loriano, Roberto Soldati, and Stav Zalel. "Dirac, Majorana, Weyl in 4D." Universe 6, no. 8 (2020): 111. http://dx.doi.org/10.3390/universe6080111.

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This is a review of some elementary properties of Dirac, Weyl and Majorana spinors in 4D. We focus in particular on the differences between massless Dirac and Majorana fermions, on one side, and Weyl fermions, on the other. We review in detail the definition of their effective actions, when coupled to (vector and axial) gauge fields, and revisit the corresponding anomalies using the Feynman diagram method with different regularisations. Among various well known results we stress in particular the regularisation independence in perturbative approaches, while not all the regularisations fit the non-perturbative ones. As for anomalies, we highlight in particular one perhaps not so well known feature: the rigid relation between chiral and trace anomalies.
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7

Valkonen, T. "Regularisation, optimisation, subregularity." Inverse Problems 37, no. 4 (2021): 045010. http://dx.doi.org/10.1088/1361-6420/abe4aa.

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8

Venkatesh, Prasana K. "On Tikhonov regularisation." Physica A: Statistical Mechanics and its Applications 284, no. 1-4 (2000): 448–60. http://dx.doi.org/10.1016/s0378-4371(00)00203-x.

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9

Laborde, Jean-Marie. "Regularisation numerique d'orbites." Discrete Mathematics 53 (March 1985): 151–55. http://dx.doi.org/10.1016/0012-365x(85)90138-4.

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10

Acquah, Joseph, Francis Benyah, and Jerry S. Y. Kuma. "Regularisation Technique for a Distributed Parameter Identification Problem." Journal of Mathematics Research 11, no. 1 (2019): 64. http://dx.doi.org/10.5539/jmr.v11n1p64.

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This paper examined the problem of ill-posedness of solution in identifying parameters from a given groundwater flow model. The solution approach to the problem was attempted by the method of Parameter Transformation coupled with Tikhonov Regularisation with and without Truncation which has not been explored. Convergence of the method was assessed by the L-Curve criterion. Numerical examples were presented to illustrate the efficiency of the proposed Regularisation Technique. Tikhonov Regularisation with Truncation turns to give a more realistic solution estimates when examined numerically, compared to that of Regularisation without Truncation.
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