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Found 6374 publications

User-Specific Load Profile Clustering for Automotive Battery Applications †

Krisztian Enisz Zoltán Szeli József Gábor Pázmány

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In applied battery research, use-case-driven prediction is becoming increasingly important, particularly for predicting real-life load profiles. This study proposes techniques to forecast lifetime load profiles for traction batteries, comparing urban- and highway-dominated vehicular use cases. Both charging and discharging scenarios are analyzed. We examine the uncertainty in these profiles and conduct a sensitivity analysis to understand the relationship between load profiles and user behavior. In this study, we introduce a novel methodology that maps behavioral and environmental parameters to battery load clusters, enabling us to identify high-risk aging scenarios. Based on parameter studies, we perform load profile clustering to identify critical use case groups and observe key parameter interactions. We present a case study of an idealized driver under Hungarian environmental conditions to predict outlier battery usage in fleets. This novel approach enables more robust predictions of aging and performance degradation for automotive traction batteries across different user clusters.

Open Access: Yes

DOI: 10.3390/engproc2025113074

UNVEILING SCHOLARLY NARRATIVES ON HUMAN TECHNOLOGY: A STRUCTURAL TOPIC MODELING APPROACH

Wojciech Jarecki Magdalena Olczyk Monika Imreh-Toth Przemysław Olczyk

Publication Name: Human Technology

Publication Date: 2025-01-01

Volume: 21

Issue: 3

Page Range: 511-529

Description:

This study systematically maps the thematic evolution of human–technology research from 2020 to 2025 using Structural Topic Modelling (STM) applied to over 2,000 abstracts from the Web of Science Core Collection. The analysis identifies six dominant themes: Industry, AI and Sustainability; Education and Human-Centred Design; Public Health, Community and Equity; Robotics, HRI and Ergonomics; Philosophy and Ethics of Technology; and Clinical mHealth and Usability. The results reveal a structural realignment from pandemic-driven experimentation to institutionalised, interdisciplinary research embedded in industrial, clinical, and community systems. Thematic inequality declined while diversity stabilised, indicating a mature and balanced research ecosystem. Methodologically, the study introduces a reproducible STM-based workflow integrating Gini and Shannon indices. Empirically, it provides a data-driven map of cross-disciplinary convergence. Conceptually, it demonstrates that human–technology inquiry increasingly operationalises ethics and sustainability through design, governance, and applied practice.

Open Access: Yes

DOI: 10.14254/1795-6889.2025.21-3.2

Decision-Analytics-Based Stock Selection: A Fuzzy Aczel–Alsina Ordinal Priority Approach

Dragan Pamucar Derya Deliktaş

Publication Name: International Journal of Fuzzy Systems

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In today’s competitive environment, evaluating and selecting stocks for portfolio optimization is a critical challenge for investors, especially under conditions of uncertainty. Traditional approaches often fail to address the complexities of multi-criteria decision-making (MCDM) in real-world investment scenarios. This study introduces a novel fuzzy Ordinal Priority Approach based on Aczel–Alsina weighted evaluation (OPA-AAWE) to tackle the portfolio selection problem. Taking into account seven financial performance criteria, the model was applied to 374 stocks listed on the Istanbul Stock Exchange for a period of 12 months. The findings demonstrate that the proposed methodology effectively handles uncertainty, offers flexibility in decision-making, and identifies the most optimal portfolios. Sensitivity analysis further confirms the robustness and reliability of the model. These results highlight the practical applicability of the fuzzy OPA-AAWE framework in real-world investment decision-making, offering investors a comprehensive tool for improved portfolio selection.

Open Access: Yes

DOI: 10.1007/s40815-025-02034-9

Eclipse SUMO and Unity 3D integration for emission studies based on driving behaviour in virtual reality environment

Viktor Nagy Viktor Nagy Csaba J. Májer Sámuel Lepold

Publication Name: Procedia Computer Science

Publication Date: 2025-01-01

Volume: 257

Issue: Unknown

Page Range: 396-403

Description:

This paper explores the development of a traffic simulator that harnesses the power of OpenStreetMap (OSM) data, integrating it into a unified framework using Blender, SUMO (Simulation of Urban MObility), and Unity 3D. The project aims to provide a realistic and versatile platform for simulating complex transportation scenarios for urban planning, traffic management, and virtual environment creation. The process begins with the extraction and preprocessing of OSM data, ensuring the representation of road networks and geographic features. Blender, a 3D modelling software, is used to visualise and enhance the environment. The resulting 3D models are loaded into Unity. SUMO - a microscopic traffic simulation software - plays a role in modelling vehicle dynamics, traffic flow, and interactions within the simulated environment. Via an integration hub, bringing together the visuality of Unity 3D environment and SUMO's precise traffic simulation. Through this collaboration, the simulator offers real-time interaction and analysis. With the help of SUMO's free emissions module, the pollution resulting from driving behaviour can be measured not only at the individual level but also the impact on the network as well. The combination of OSM data, SUMO, Blender, and Unity 3D provides a powerful and free tool to study and optimise urban mobility, ultimately contributing to the development of smarter and more sustainable transportation systems.

Open Access: Yes

DOI: 10.1016/j.procs.2025.03.052

Ethical Dimensions in Supplier Selection Sustainability: Introducing the Modified MARCOS Method via Fuzzy-Rough Set with the LMAW Approach

Dragan Marinković Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

Publication Name: Contemporary Mathematics Singapore

Publication Date: 2025-01-01

Volume: 6

Issue: 6

Page Range: 7899-7924

Description:

This research presents a novel approach to supplier selection by integrating economic, environmental, and ethical criteria. The case study of Company 3B, a food production company, illustrates this process. Expert decisionmaking, using a fuzzy-rough approach, is supported by the fuzzy-rough Logarithm Methodology of Additive Weights (LMAW) and the fuzzy-rough modified Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) methods. The fuzzy-rough LMAW method helps determine the importance of criteria, revealing that experts consider the economic criterion the most significant. The Modified MARCOS (M-MARCOS), a simplified version of the MARCOS method, is used to rank suppliers. Results show that Supplier S3 performs the best. These findings are validated through comparisons with other fuzzy-rough methods and a sensitivity analysis. With the MARCOS method comparisons confirming a consistent ranking order, this paper advances supplier selection methodology by introducing a novel approach and improving the usability of the MARCOS method through modifications.

Open Access: Yes

DOI: 10.37256/cm.6620257306

Decoding Cybervetting Through the Lens of Information Management: A Qualitative Study on Recruiter Practices in Digital Talent Acquisition

Varun Chotia Norah Albishri Nidhi Sahore Aradhana Galgotia Pap Martin Felicián

Publication Name: Journal of Global Information Management

Publication Date: 2025-01-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

Cybervetting practices are witnessing an exponential increase in its application across industries, however, the scholarly literature on the concept is limited. The present qualitative study seeks to synthesize the definition and concept of cybervetting in the talent acquisition landscape. There is limited holistic understanding about the cybervetting process model and its various stages followed by organizations. Further, the study seeks to identify from recruiters the kind of information extracted from the Internet and social media platforms and the consequent positive and negative cues inferred to assess the suitability of job seekers. To address these issues, a longitudinal qualitative study was undertaken, involving two waves of data collection from recruiters (HR professionals) to understand these dynamics.

Open Access: Yes

DOI: 10.4018/JGIM.387413

New distance measures of complex Fermatean fuzzy sets with applications in decision making and clustering problems

Dragan Pamucar Muhammet Deveci Tapan Senapati Ronald R. Yager Zhe Liu Sijia Zhu Zhe Liu Zhe Liu

Publication Name: Information Sciences

Publication Date: 2025-01-01

Volume: 686

Issue: Unknown

Page Range: Unknown

Description:

Complex Fermatean fuzzy sets (CFFSs) integrate the ideas of complex fuzzy sets and Fermatean fuzzy sets, where the membership, non-membership, and hesitancy degrees are all complex numbers, allowing the express uncertain information more flexibly and comprehensively. However, how to reasonably measure the discrepancies between CFFSs in decision-making remains an open task. This paper presents a series of new distance measures of CFFSs and their weighted versions based on Hamming, Euclidean, Hausdorff, and Hellinger distances. On this basis, we explore some outstanding properties that the proposed measures satisfy (i.e., boundedness, nondegeneracy, symmetry, and triangular inequality) and demonstrate their effectiveness through several examples. Furthermore, we design a decision-making algorithm as well as a clustering algorithm based on the proposed measures and verify the performance of the proposed measures through several applications.

Open Access: Yes

DOI: 10.1016/j.ins.2024.121310

Energy security challenges in Europe: the importance of renewable energy innovations for economic viability after Russia Ukraine war

Valentinas Navickas Yuriy Bilan Raimondas Paskevicius Mantas Svazas Umer Shahzad

Publication Name: Environment Development and Sustainability

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Europe's energy security is a very relevant and debatable topic today, especially since the Russia Ukraine conflict energy security is becoming a challenge for Europe. Many countries in the European Union do not have sufficient fossil energy resources and are dependent on neighboring, energy-rich countries. Such dependence on other countries in the EU is useless and even dangerous, both economically and politically or in terms of energy security. The EU faces serious energy security challenges due to its high dependence on external energy exporters. Countries that export energy resources can manipulate them and exert both economic and political pressure. The main problem is how to assess the energy transformation opportunities while strengthening energy security. Currently, there is a lack of research that would propose solutions to increase energy security on a national scale. Renewable energy solutions would allow achieving these goals, thus creating synergy with economic benefits. During the study, energy business representatives were interviewed in order to understand market trends and attitudes. When processing the data using the factor analysis method, results were obtained that reveal a clear connection between renewable energy and energy security. Research shows that geopolitical security becomes an important aspect when the volume of renewable energy deployment increases.

Open Access: Yes

DOI: 10.1007/s10668-025-06163-x

Three new species of Dentisphaera from Southern China (Gastropoda: Stylommatophora: Hypselostomatidae)

Barna Páll-Gergely Jozef Grego Zheyu Chen Liwen Lin Yutong Ding

Publication Name: Zoological Systematics

Publication Date: 2025-01-01

Volume: 50

Issue: 2

Page Range: 150-158

Description:

Dentisphaera Páll-Gergely & Jochum, 2017 is a troglobitic land snails genus known to harbour only one species found in a single cave in North Vietnam. Based on recently collected specimens from China, three species, Dentisphaera lagredeae Chen, Grego & Páll-Gergely, sp. nov., Dentisphaera shzha Chen, Grego & Páll-Gergely, sp. nov. and Dentisphaera zhoui Chen, Lin & Páll-Gergely, sp. nov. are introduced as new to science. The distribution range of Dentisphaera is extended based on the collecting records of these new species.

Open Access: Yes

DOI: 10.11865/zs.2025205