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1892. Recent theoretical and practical contributions to the OR environment and CEJOR from the perspective of SSI-SORJanez Povh, Lidija Zadnik Stirn, Janez Žerovnik, 2025, original scientific article Abstract: The article summarizes the research topics published in this special issue. The pa- pers in this issue are based on the selected and peer-reviewed papers from the 17th International Symposium on Operations Research in Slovenia – SOR’23, which took place in Bled, Slovenia (https://arhiv.fov.um.si/sor23/), September 20–22, 2023. In addition, we examined the 27 research papers in the last two SSI-SOR CEJOR special issues, 16 in the Cent Eur J Oper Res 31, issue 3, 2023, and 11 in this CEJOR special issue, and grouped them into clusters using keywords ac- cording to the methodology published by Kastrin et al. (2021) Methodologies and applications for resilient global development from the aspect of SDI-SOR. The clusters show the main and niche topics presented and, on the one hand, illustrate the European and international state of the art in the field of OR over the last five years and, on the other hand, can serve as a stimulus for further work on upcoming strategic OR topics.
Keywords: operations research, SOR conferences, Slovenia, cluster analysis
Published in DiRROS: 19.06.2025; Views: 426; Downloads: 274
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1893. Center of Trapezoid Graph: Application in Selecting Center Location to Set up a Private Hospital : application in selecting center location to set up a private hospitalShaoli Nandi, Sukumar Mondal, Sovan Samanta, Sambhu Charan Barman, Leo Mršić, Antonios Kalampakas, 2025, original scientific article Keywords: central nodes, trapezoid graph, BFS, algorithm, time complexity
Published in DiRROS: 19.06.2025; Views: 367; Downloads: 240
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1894. Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learningPuneet Thapar, Manik Rakhra, Deepak Prashar, Leo Mršić, Arfat Ahmad Khan, Seifedine Kadry, 2025, original scientific article Abstract: Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, including alcohol and tobacco use, allergies, infections, physical activity, exposure to UV light, viral infections, and the effects of climate change. While the steep death tolls continue rising at an alarming rate, lack of symptoms recognition and its preventive measures further worsen the case. In this article, we employ the ISBI-2017 dataset to present an improved FrCN-based hybrid image segmentation method with U-Net to improve detection performance. This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. The results show that the combined method is effective in enhancing early disease diagnosis, which in turn improves treatment outcomes and prognosis. This paper presents an alternative technique for skin cancer detection, which can serve as a guide for clinical practices and public health strategies on how to lower skin-cancer-related deaths.
Keywords: skin tumors, cutaneous melanoma, lesions, imaging techniques, cancel detection and diagnosis, melanoma, preprocessing, melignant tumors
Published in DiRROS: 19.06.2025; Views: 474; Downloads: 274
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1895. Numerical solution for fuzzy fractional differential equations by fuzzy multi-step methodsLeila Safikhani, Tofigh Allahviranloo, Leo Mršić, Sovan Samanta, 2025, original scientific article Abstract: To solve fractional differential equations, they are typically converted into their corresponding crisp problems through a process known as the embedding method. This paper introduces a novel direct approach to solving fuzzy differential equations using fuzzy calculations, bypassing the need for this transformation. In this study, we develop the fuzzy Adams–Bashforth (A-B) method and the fuzzy Adams–Moulton (A-M) method to find numerical solutions for fuzzy fractional differential equations (FFDEs) with fuzzy initial values. To demonstrate the accuracy and efficiency of the proposed methods, we determine both the local truncation error and the global truncation error. Additionally, we establish the convergence and stability of these methods in detail. Finally, numerical examples are provided to illustrate the flexibility and effectiveness of the proposed methods.
Keywords: fuzzy fractional differential equation, generalized Hukuhara difference, fuzzy generalized A-B method, local truncation error, global truncation error, fuzzy generalized A-M method, convergence, stability
Published in DiRROS: 19.06.2025; Views: 416; Downloads: 317
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1896. Influence of Building Envelope Modeling Parameters on Energy Simulation ResultsSimon Muhič, Dimitrije Manić, Ante Čikić, Mirko Komatina, 2025, original scientific article Abstract: This study investigates the influence of input values for building energy model parameters on simulation results, with the aim of improving the reliability and sustainability of energy performance assessments. Dynamic simulations were conducted in TRNSYS for three theoretical multi-residential buildings, varying parameters such as referent model dimensions, infiltration rates, envelope thermophysical properties, and interior thermal capacitance. The case study, based in Slovenia, demonstrates that glazing-related parameters, particularly the solar heat gain coefficient (g-value), exert the most significant influence—reducing the g-value from 0.62 to 0.22 decreased simulated heating (qH,nd) and cooling (qC,nd) demands by 25% and 95%, respectively. In contrast, referent dimensions for modeled floor area proved least influential. For Building III (BSF = 0.36), dimensional variations altered results by less than ±1%, whereas, for Building I (BSF = 0.62), variations reached up to ±20%. In general, lower shape factors yield more robust energy models that are less sensitive to input deviations. These findings are critical for promoting resource-efficient simulation practices and ensuring that energy modeling contributes effectively to sustainable building design. Understanding which inputs warrant detailed attention supports more targeted and meaningful simulation workflows, enabling more accurate and impactful strategies for building energy efficiency and long-term environmental performance.
Keywords: building energy modeling, dynamic simulation, TRNSYS, envelope modeling parameters, building energy performance
Published in DiRROS: 19.06.2025; Views: 487; Downloads: 310
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1897. An Ex Ante approach to the resilience and recovery plan’s impacts on sustainable tourism in Algarve and AlentejoBernardo Valente, Erika Džajić Uršič, 2025, original scientific article Abstract: The European Union has been trying to adjust its tourism policy in response to the challenges posed by the recent COVID-19 pandemic. The funding of the EU Cohesion Policy has been one of the primary mechanisms guaranteeing that all regions can be prepared to receive tourists and cope with the sustainability challenges the pandemic has raised. The recovery and resilience plan (PRR) is the most recent instrument created to help economic growth in most European Union countries. The implementation of the PRR in Algarve and Alentejo has been fundamental to understanding the Portuguese tourism sector, as these regions are heavily dependent on tourism sector revenue and were hit hard by the consecutive lockdowns in recent years. Therefore, this policy, in brief, critically assesses the tourism-related projects that received funding from the PRR until November 2023 (ex ante) and their potential to guarantee long-term tourism sustainability in Algarve and Alentejo. Despite not achieving the expected efficiency results due to delays in project execution and low investment, the PRR is still a positive upgrade for tourism-related policy in Algarve and Alentejo.
Keywords: sustainable tourism, EU cohesion policy, recovery and resilience, Algarve, Alentejo
Published in DiRROS: 19.06.2025; Views: 409; Downloads: 268
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1899. Industrial symbiosis networks supporting circularity : understanding complexity, cyclicality and resilienceUrška Fric, Zoran Levnajić, Dolores Modic, Borut Rončević, 2025, original scientific article Abstract: The aim of this study is to provide a more nuanced understanding of the industrial symbiosis networks supporting the circular economy. We do so through an evolutionary dynamics lens, viewing these networks as adaptive complex systems. This approach allows us to address the limited research attention that has resulted in insufficient understanding of the underlying net works in the circular economy literature, particularly regarding collaboration for waste resource exchange. i.e. the circular economy closing of the resource loops. This paper draws on empirically obtained data from industrial symbiosis networks in five countries: Croatia, Slovenia, Austria, Denmark and Finland. Through network analysis, we find that the structure of these symbiosis networks has evolved to varying extents. This evolution takes into account the complexity of leveraging opportunities based on waste resource exchange, cyclicality with numerous feedback loops, and resilience against disruptions and failures. Based on these findings, we propose three types of symbiosis networks that support circularity: mature, evolving, and emerging. Concur rently, we further develop conceptual and empirical diagnostic tools for future research by showcasing the utility of newly developed measures. Additionally, we outline several practical implications for both system-level, and organization-level managers.
Keywords: circular economy, industrial symbiosis networks, typology, complexity, cyclicality, resilience
Published in DiRROS: 19.06.2025; Views: 526; Downloads: 308
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