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Publications - 6374

Some Dynamical Properties of Higher-Order Fuzzy Cognitive Maps

Istvan A. Harmati Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 959

Issue: Unknown

Page Range: 149-156

Description:

Fuzzy cognitive maps are recurrent neural networks, applied for modelling and simulation of complex dynamic systems. They have been successfully applied to many engineering problems. The conclusion about the system depends on the mathematical behaviour of an iteration, namely, a first-order recursion. The first-order dynamics have some limitations since it takes into account only the previous time step. To overcome these limitations higher-order memory-based fuzzy cognitive maps have been introduced, which use a sequence of preceding states to determine the next one. In this paper, some dynamical properties of higher-order fuzzy cognitive maps are analyzed. Particularly, the existence and uniqueness of equilibrium points and the stability are discussed.

Open Access: Yes

DOI: 10.1007/978-3-030-74970-5_17

Experiential learning and governance in the socio-technical era: Modeling responsible AI performance via explainability and adaptability

Varun Chotia Intesar Almugren Attila Kurucz Nidhi Sahore Ming Liu

Publication Name: Technological Forecasting and Social Change

Publication Date: 2026-06-01

Volume: 227

Issue: Unknown

Page Range: Unknown

Description:

The concept of artificial intelligence (AI) is altering the way organizations operate. AI systems will deliver more intelligent results in a shorter period of time, starting with decision-making up to innovation. However, the more it is adopted, the more issues to do with fairness, transparency, and accountability are raised. Most organizations are finding it difficult to reconcile innovation and ethical responsibility. This study discusses the role of internal capabilities in making firms govern AI responsibly. The study proposes a model linking four key organizational capabilities, i.e., explainable AI capability, contextual learning adaptability, experiential learning orientation, and organizational ethical alignment to responsible AI performance. The impact of these capabilities on user interpretability and trust, responsible AI governance maturity, and decision transparency is also examined in this study. The results show that explainable AI capability and learning adaptability enhance user trust, while experiential learning orientation and organizational ethical alignment significantly improve governance maturity. Governance maturity and decision transparency lead to stronger responsible AI performance. Interestingly, not all expected paths held as user interpretability trust and governance maturity did not directly predict decision transparency. The findings show that building technical and cultural capabilities inside firms is essential not just to deploy AI effectively, but to do it responsibly. For leaders, this means moving beyond checklists and toward meaningful governance rooted in learning, transparency, and ethical alignment.

Open Access: Yes

DOI: 10.1016/j.techfore.2026.124624

Multiphysics Modeling and Simulation of NVH Phenomena in Electric Vehicle Powertrains

Krisztián Horváth

Publication Name: World Electric Vehicle Journal

Publication Date: 2026-04-01

Volume: 17

Issue: 4

Page Range: Unknown

Description:

The rapid electrification of road vehicles has fundamentally reshaped the priorities of noise, vibration, and harshness (NVH) engineering. In the absence of combustion-related broadband masking, tonal and order-related phenomena originating from the electric machine, inverter switching, and high-speed reduction gearing have become clearly perceptible and, in many cases, acoustically dominant. Consequently, drivetrain noise in electric vehicles can no longer be assessed at component level alone; it must be understood as a coupled system response shaped by excitation mechanisms, structural dynamics, transfer paths, radiation efficiency, and ultimately human perception. This review adopts a source-to-perception perspective and consolidates the principal physical mechanisms governing vibro-acoustic behavior in integrated electric drive units. Electromagnetic force harmonics and torque ripple are discussed alongside transmission-error-driven gear mesh excitation, while bearing and shaft nonlinearities are examined in the context of high-speed operation. In addition, ancillary thermoacoustic and aerodynamic contributions are considered, reflecting the increasingly integrated packaging of modern e-axle architectures. On this mechanism-oriented basis, dominant excitation types are linked to frequency-appropriate modeling strategies, spanning electromagnetic force extraction, multibody drivetrain simulation, structural finite element analysis, transfer path analysis, and acoustic radiation prediction. Particular attention is given to workflow integration across domains. Finally, the paper identifies research challenges that predominantly arise at system level, including multi-source interaction effects, installation-dependent transfer-path variability, emergent resonances in assembled structures, manufacturing-induced tonal artifacts, and the still limited correlation between predicted vibration fields and perceived sound quality.

Open Access: Yes

DOI: 10.3390/wevj17040183

Introduction to queueing systems with telecommunication applications

László Lakatos Lászlõ Szeidl Miklós Telek

Publication Name: Introduction to Queueing Systems with Telecommunication Applications

Publication Date: 2013-11-01

Volume: 9781461453178

Issue: Unknown

Page Range: 1-385

Description:

The book is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a self containing introduction to the stochastic processes of the later studies queueing systems. It starts with a quick introduction to probability theory and stochastic processes and continues with chapters on Markov chains and regenerative processes. More recent advances of queueing systems are based on phase type distributions, Markov arrival processes and quasy birth death processes, which are introduced in the last chapter of the first part. The second part is devoted to queueing models and their applications. After the introduction of the basic Markovian (from M/M/1 to M/M/1//N) and non-Markovian (M/G/1, G/M/1) queueing systems, a chapter presents the analysis of queues with phase type distributions, Markov arrival processes (from PH/M/1 to MAP/PH/1/K). The next chapter presents the classical queueing network results and the rest of this part is devoted to the application examples. There are queueing models for bandwidth charing with different traffic classes, slotted multiplexers, ATM switches, media access protocols like Aloha and IEEE 802.11b, priority systems and retrial systems. An appendix supplements the technical content with Laplace and z transformation rules, Bessel functions and a list of notations. The book contains examples and exercises throughout and could be used for graduate students in engineering, mathematics and sciences.

Open Access: Yes

DOI: 10.1007/978-1-4614-5317-8

Effect of gibberellins on growth and biochemical constituents in Chlorella minutissima (Trebouxiophyceae)

J. Gruz Miroslav Strnad Danuše Tarkowská Vince Ördög Wendy A. Stirk Johannes van Staden

Publication Name: South African Journal of Botany

Publication Date: 2019-11-01

Volume: 126

Issue: Unknown

Page Range: 92-98

Description:

A hormonal network regulates growth processes and stress responses in vascular plants. There is evidence for a similar hormonal network in microalgae. This study investigated the effect of exogenous gibberellins (GAs) on Chlorella minutissima Fott et Nováková growth and biochemical composition. Two bioactive GAs i.e. GA3 and GA4 were applied at 10−8–10−5 M. Growth was monitored until cultures were harvested on day 7 when in an exponential growth phase. Primary metabolites (protein, chlorophyll and carotenoids) were quantified and endogenous GAs and phenolic acids were identified and quantified. GA3 had little beneficial effect on growth in C. minutissima while GA4 was inhibitory. GA application had little effect on the protein, chlorophyll and total carotenoid content. Analysis of the GA content suggested that GA3 was not readily taken up by the cells while GA4 was absorbed but not further metabolised. This high accumulation of GA4 could account for its inhibitory effect. Three phenolics acids were detected in C. minutissima i.e. p-hydroxybenzoic acid > salicylic acid > protocatechuic acid. Their concentrations were not affected by GA treatments or GA-type. The physiological role of GAs in microalgae is still unclear and further studies are required to gain clearer insight into uptake rates, metabolism and function.

Open Access: Yes

DOI: 10.1016/j.sajb.2019.05.001

Human factor in traffic models

Zsuzsanna Toth-Szabo Richárd Horváth Katalin Kovács

Publication Name: 2006 IEEE International Conference on Computational Cybernetics Iccc

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper deals with modeling of human behavior in traffic systems. The first part of the paper gives a short survey of the corresponding literature introducing the most important problems of the area. The second part of the paper contains our approach aiming the development of a driver model applicable in the widely used simulation systems to describe practical traffic situations and analyze the safety aspects.

Open Access: Yes

DOI: 10.1109/ICCCYB.2006.305738

Organisational responsible AI implementation and organisational foresight: The role of leadership control and managerial cognitive flexibility

Usama Awan Sheraz Ahmed David KALISZ Gábor Szábo-Szentgróti Norah Albishri

Publication Name: Technological Forecasting and Social Change

Publication Date: 2026-06-01

Volume: 227

Issue: Unknown

Page Range: Unknown

Description:

Recent advances in artificial intelligence (AI) technologies have introduced new challenges related to privacy, transparency, and accountability, which have important implications for managerial decision-making. Although prior research has examined the adoption of AI in supply chain management, limited attention has been paid to how responsible AI interacts with managers' cognitive flexibility to shape organisational foresight. Drawing on Transaction Cost Economics, this study examines the combined effects of implementing responsible AI governance and leadership-enacted organisational control on the development of organisational foresight. This study contributes to organisational foresight research by explaining how the responsible implementation of responsible AI governance enhances organisations' ability to anticipate and interpret future developments through managerial cognitive flexibility. This research highlights responsible AI as a mechanism for balancing automation and human judgment, reinforcing the importance of human-centric governance in data-driven decision environments. Organisations should implement responsible AI alongside enabling leadership practices that encourage autonomy, experimentation, and reflective interpretation, as excessive control can undermine the cognitive flexibility necessary for developing organisational foresight.

Open Access: Yes

DOI: 10.1016/j.techfore.2026.124623

A finite-sample generalization bound for stable LPV systems

Mihály Petreczky Bálint Daróczy Martin Gonzalez Dániel Rácz András Benczúr

Publication Name: Mathematics of Control Signals and Systems

Publication Date: 2026-06-01

Volume: 38

Issue: 2

Page Range: 241-273

Description:

One of the main theoretical challenges in learning dynamical systems from data is providing upper bounds on the generalization error, that is, the difference between the expected prediction error and the empirical prediction error measured on some finite sample. In machine learning, a popular class of such bounds are the so-called Probably Approximately Correct (PAC) bounds. In this paper, we derive a PAC bound for stable continuous-time linear parameter-varying (LPV) systems. Our bound depends on a weighted H2-like norm of the chosen class of the LPV systems, but does not depend on the time interval for which the signals are considered.

Open Access: Yes

DOI: 10.1007/s00498-025-00427-7

Corrigendum to ‘Graphical pinch analysis-based method for heat exchanger networks retrofit of a residuum hydrogenation process’ [Energy volume 299 (2024) 131538] (Energy (2024) 299, (S0360544224013112), (10.1016/j.energy.2024.131538))

Paweł Ocłoń Jin Wang Keke Zhi Yujie Chen Wei Li Bohong Wang Lianghui Guo Hengcong Tao Xinze Li Yuping Chen Petar Sabev Varbanov

Publication Name: Energy

Publication Date: 2024-11-30

Volume: 310

Issue: Unknown

Page Range: Unknown

Description:

The contribution of Pawel Oclon has been funded by the EU project “Renewable energy system for residential building heating and electricity production–RESHeat”, Grant Agreement #956255. The work of Petar Varbanov has been funded by the Széchenyi István University in Hungary. The authors would like to apologise for any inconvenience caused.

Open Access: Yes

DOI: 10.1016/j.energy.2024.133291