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Found 6407 publications

THE IMPACT OF AN ARTIFICIAL INTELLIGENCE-BASED FORECASTING MODEL ON THE DEVELOPMENT OF SUSTAINABLE TOURISM

Marcell Kupi

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 61

Issue: 3

Page Range: 1758-1766

Description:

This research investigates the application of artificial intelligence (AI) and Web 3.0 technologies in promoting sustainable urban tourism, with a particular focus on demand forecasting and environmental impact assessment. The study presents a two-layered AI-based model aimed at supporting data-driven decision-making in destination management, addressing the need for forward-looking strategies that align with both operational and sustainability goals. The research applies the Facebook Prophet algorithm to forecast monthly tourism demand in two Hungarian cities—Budapest and Győr—selected for their contrasting tourism profiles. Forecast outputs were then integrated into a sustainability impact module estimating carbon dioxide emissions, water consumption, and waste generation, based on empirically defined conversion factors. Results indicated strong seasonal peaks in Budapest, with over 1.3 million overnight stays projected for August 2026, and corresponding environmental impacts surpassing 62,000 tons of CO₂. In contrast, Győr exhibited more moderate fluctuations and lower error margins, reflecting a more stable tourism pattern. Forecast accuracy was assessed using MAE, RMSE, and MAPE metrics, showing acceptable performance for strategic use, although with reduced reliability in low-demand periods. The sustainability module effectively highlighted peak periods of ecological burden, enabling targeted interventions such as infrastructure scaling, service optimization, and seasonal policy adjustments. In addition to its forecasting functionality, the model offers practical guidance for municipalities by identifying where and when ecological pressure is likely to arise. The dual-model framework offers a scalable and replicable approach for cities seeking to balance tourism growth with environmental and community well-being. By integrating predictive analytics with sustainability assessment, the model provides valuable insights into the timing and magnitude of tourism’s impact. This supports smarter capacity planning, emission reduction strategies, and the alignment of visitor flows with local resilience thresholds. The findings contribute to the evolving discourse on smart and sustainable tourism in the Web 3.0 era, positioning AI as a critical enabler of holistic and proactive destination manageme nt.

Open Access: Yes

DOI: 10.30892/gtg.61334-1544

Multigrid technique for biharmonic interpolation with application to dual and multiple reciprocity method

Csaba Gáspár

Publication Name: Numerical Algorithms

Publication Date: 1999-01-01

Volume: 21

Issue: 1-4

Page Range: 165-183

Description:

A biharmonic-type interpolation method is presented to solve 2D and 3D scattered data interpolation problems. Unlike the methods based on radial basis functions, which produce a large linear system of equations with fully populated and often non-selfadjoint and ill-conditioned matrix, the presented method converts the interpolation problem to the solution of the biharmonic equation supplied with some non-usual boundary conditions at the interpolation points. To solve the biharmonic equation, fast multigrid techniques can be applied which are based on a non-uniform, non-equidistant but Cartesian grid generated by the quadtree/octtree algorithm. The biharmonic interpolation technique is applied to the multiple and dual reciprocity method of the BEM to convert domain integrals to the boundary. This makes it possible to significantly reduce the computational cost of the evaluation of the appearing domain integrals as well as the memory requirement of the procedure. The resulting method can be considered as a special grid-free technique, since it requires no domain discretisation.

Open Access: Yes

DOI: 10.1023/a:1019173816678

On the Schur component preconditioners

Béla Kiss A. Krebsz

Publication Name: Computers and Structures

Publication Date: 1999-01-01

Volume: 73

Issue: 1-5

Page Range: 537-544

Description:

Some representations of the H 1/2 norm are used as Schur complement preconditioners in PCG-based domain decomposition algorithms for elliptic problems. These norm representations are efficient preconditioners. Here we give a new matrix representation of the Ha (0 < a < 1) norms by a special sparse Toeplitz matrix. It contains O(log(N)) non-zero entries at each row, where N is the number of rows. The special properties of this matrix ensure that it can be used as preconditioner. This is proved by estimating spectral equivalence constants and this fact has also been verified by numerical tests.

Open Access: Yes

DOI: 10.1016/S0045-7949(98)00258-2

The use and abuse of legal history. On the nature of the censorial regimen morum

Gergely Deli

Publication Name: Journal on European History of Law

Publication Date: 2021-01-01

Volume: 12

Issue: 1

Page Range: 138-144

Description:

The paper analyses the nature of enforcement within the censorial regimen morum (CRM) in Ancient Rome by taking into consideration various Latin legal and literary sources. It comes to the conclusion that CRM could be seen as a transitional institution in a system which evolved from a formerly domaninant collective or decentralized to a more centralized enforcement. It also enriches the debate on the concept of law through historical insights by claiming that a social order can meaningfully called a legal order only if centralized production and enforcement of norms had been already added to the consensus of some commonly shared values.

Open Access: Yes

DOI: DOI not available

Approximation of a modified traveling salesman problem using bacterial memetic algorithms

János Botzheim Péter Földesi Márk Farkas Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2009-12-01

Volume: 243

Issue: Unknown

Page Range: 607-625

Description:

The goal of this paper is to develop an algorithm that is capable to handle a slightly modified version of the minimal Traveling Salesman Problem in an efficient and robust way and produces high-quality solutions within a reasonable amount of time. The requirements of practical logistical applications, such as road transportation and supply chains, are also taken into consideration in this novel approach of the TSP. This well-known combinatorial optimization task is solved by a bacterial memetic algorithm, which is an evolutionary algorithm inspired by bacterial transduction. A new method is also proposed to deal with the time dependency in the cost matrix. The efficiency of the implementation, including time and space constraints, is investigated on a real life problem. © 2009 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-03737-5_44

Invariance conditions for nonlinear dynamical systems

Yunfei Song Tamás Terlaky Zoltán Horváth

Publication Name: Springer Optimization and Its Applications

Publication Date: 2016-01-01

Volume: 115

Issue: Unknown

Page Range: 265-280

Description:

Recently,Horváth et al. (Appl Math Comput,submitted) proposed a novel unified approach to study,i.e.,invariance conditions,sufficient and necessary conditions,under which some convex sets are invariant sets for linear dynamical systems. In this paper,by utilizing analogous methodology,we generalize the results for nonlinear dynamical systems. First,the Theorems of Alternatives,i.e.,the nonlinear Farkas lemma and the S-lemma,together with Nagumo’s Theorem are utilized to derive invariance conditions for discrete and continuous systems. Only standard assumptions are needed to establish invariance of broadly used convex sets,including polyhedral and ellipsoidal sets. Second,we establish an optimization framework to computationally verify the derived invariance conditions. Finally,we derive analogous invariance conditions without any conditions.

Open Access: Yes

DOI: 10.1007/978-3-319-42056-1_8

Fuzzy Linguistic Signatures

Nour Ammar Laszlo T. Koczy

Publication Name: Infocommunications Journal

Publication Date: 2026-01-01

Volume: 18

Issue: 1

Page Range: 43-52

Description:

Fuzzy Linguistic Signatures (FLS) extend the concept of Fuzzy Signatures (FSigs) by introducing linguistic variables as qualitative descriptors within a hierarchical fuzzy structure. Although fuzzy signatures have been successfully applied in various domains, their reliance on numerical membership degrees limits their ability to model subjective or linguistically defined information. This paper establishes a formal mathematical framework for FLS by defining a family of fuzzy linguistic signatures equipped with suitable linguistic aggregation operators and a partial ordering relation among linguistic values. Furthermore, meet-and-join operators are introduced to demonstrate that FLS satisfies the properties of a lattice as an algebraic structure. Consequently, fuzzy linguistic signatures provide an expressive representational framework capable of handling qualitative, human-like reasoning.

Open Access: Yes

DOI: 10.36244/ICJ.2026.1.5

Fuzzy based hierarchical performance evaluation in telecommunications access networks

Ferenc Lilik Laszlo T. Koczy

Publication Name: 2014 International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management Hnicem 2014 7th Hnicem 2014 Joint with 6th International Symposium on Computational Intelligence and Intelligent Informatics Co Located with 10th Erdt Conference

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Performance evaluation of wire pairs of telecommunications access networks is a great challenge for telecommunications service providers. Although there are existing methods and systems for it, these are expensive or unpunctual. This paper presents a novel, hierarchical fuzzy inference based performance evaluation method for wire pairs of access networks, which is based on measurements of the pairs. The set of antecedent (input) parameters and their role in the evaluation, the consequent (output) states and the type of the used fuzzy rule bases are presented. In addition, the behavior and the role of the noise that can be measured in the wire pairs are detailed.

Open Access: Yes

DOI: 10.1109/HNICEM.2014.7016242

Adaptation of Life Form Categorisation of Ellenberg and Mueller-Dombois to the Hungarian Flora

D. Bartha B. A. Lukács I. Dancza G. Pinke Zoltán Botta-Dukát

Publication Name: Acta Botanica Hungarica

Publication Date: 2023-04-25

Volume: 65

Issue: 1-2

Page Range: 1-34

Description:

The categorisation of plant species according to their life form has a long history in plant ecology. The most popular system worldwide and also in Hungary is Raunkiaer's categorisation according to the position of buds (meristems) surviving the adverse season. The original system contains only seven categories, resulting in high diversity within each category. Therefore, different refinements are suggested. This paper aims to apply an internationally accepted refinement of Raunkiaer's categorisation, the Ellenberg and Mueller-Dombois system, to the Hungarian flora.

Open Access: Yes

DOI: 10.1556/034.65.2023.1-2.1