@article{MTMT:34792748,
	title = {Multilevel Fuzzy Inference System for Estimating Risk of Type 2 Diabetes},
	url = {https://m2.mtmt.hu/api/publication/34792748},
	author = {Tasic, Jelena and Nagy-Perjési, Zsófia and Takács, Márta},
	doi = {10.3390/math12081167},
	journal-iso = {MATHEMATICS-BASEL},
	journal = {MATHEMATICS},
	volume = {12},
	unique-id = {34792748},
	abstract = {In this paper, we present a multilevel fuzzy inference model for predicting the risk of type 2 diabetes. We have designed a system for predicting this risk by taking into account various factors such as physical, behavioral, and environmental parameters related to the investigated patient and thus facilitate experts to diagnose the risk of diabetes. The important risk parameters of type 2 diabetes are identified based on the literature and the recommendations of experts. The parameters are scaled and fuzzified on their own universe and, based on the experts’ recommendation, fuzzy inference subsystems are created with 3–4 related risk parameters to calculate the risk level. These sub-systems are then arranged into Mamdani-type inference systems so that the system calculates an aggregated risk level. The overview of the large number of diverse types of risk factors, which may be difficult for specialists and doctors, is facilitated by the proposed system.},
	year = {2024},
	eissn = {2227-7390},
	pages = {1167-1184},
	orcid-numbers = {Tasic, Jelena/0009-0001-8524-1668}
}

@inproceedings{MTMT:35068143,
	title = {Greenwashing in Logistics},
	url = {https://m2.mtmt.hu/api/publication/35068143},
	author = {Szabó, László and Udvaros, József and Forman, Norbert and Tasic, Jelena},
	booktitle = {XIV International Symposium ENGINEERING MANAGEMENT AND COMPETITIVENESS (EMC 2024)},
	unique-id = {35068143},
	abstract = {As global systems evolve, logistics plays a major role in the movement of goods and the operation of supply
		chains. However, sustainability is increasingly becoming a priority for companies and society. Integrating this
		into logistics processes is a major challenge. Sustainability in logistics is important not only from an
		environmental perspective, but also in its economic and social dimensions. Here we should mention the concept
		of green logistics. The public exploitation of the benefits of green logistics helps companies to attract customers,
		although in many cases greenwashing can also be encountered. In this paper, we focus on the role of
		greenwashing.},
	keywords = {sustainability; Supply chain; Green logistics; greenwashing},
	year = {2024},
	pages = {34-38},
	orcid-numbers = {Szabó, László/0000-0003-4153-8432; Forman, Norbert/0009-0000-1974-8308; Tasic, Jelena/0009-0001-8524-1668}
}

@inproceedings{MTMT:35068166,
	title = {The Application of QR Codes in the Field of E-Business in the Case of Order Tracking and Logistics},
	url = {https://m2.mtmt.hu/api/publication/35068166},
	author = {Udvaros, József and Forman, Norbert and Tasic, Jelena and Szabó, László},
	booktitle = {XIV International Symposium ENGINEERING MANAGEMENT AND COMPETITIVENESS (EMC 2024)},
	unique-id = {35068166},
	abstract = {The use of QR codes in the field of e-business has brought significant progress in the efficiency of order tracking
		and logistics. This study explores how QR codes can be integrated into e-commerce systems, with a focus on
		shipping and logistics processes. The use of QR codes enables accurate tracking of products from order to
		delivery, thus increasing transparency and reducing the occurrence of errors. Customers can track the status of
		their orders in real time using QR codes, which improves customer experience and satisfaction. In the area of
		warehouse management, QR codes provide quick access to inventory data, which significantly increases the
		efficiency of work processes. In addition, the use of QR codes in inventory identification and management
		enables the implementation of automatic data entry and inventory updating, which reduces administrative
		burdens and minimizes the possibility of human error. The study points out that the use of QR codes not only
		enables the improvement of current systems, but also offers new opportunities for the development of intelligent
		logistics solutions. Overall, the introduction of QR codes into e-business logistics and order tracking processes is
		an innovative step that can provide companies with a sustainable competitive advantage in the long term.},
	keywords = {logistics; e-Business; QR Code; Order tracking},
	year = {2024},
	pages = {275-280},
	orcid-numbers = {Forman, Norbert/0009-0000-1974-8308; Tasic, Jelena/0009-0001-8524-1668; Szabó, László/0000-0003-4153-8432}
}

@inproceedings{MTMT:33862125,
	title = {A Kinetic Model-Based Approach for Estimating Hemoglobin A1c Based on Average Glucose},
	url = {https://m2.mtmt.hu/api/publication/33862125},
	author = {Tasic, Jelena and Takács, Márta and Kovács, Levente},
	booktitle = {IEEE 17th International Symposium on Applied Computational Intelligence and Informatics SACI 2023 : Proceedings},
	unique-id = {33862125},
	year = {2023},
	pages = {153-158},
	orcid-numbers = {Tasic, Jelena/0009-0001-8524-1668; Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:33050466,
	title = {Control Engineering Methods for Blood Glucose Levels Regulation},
	url = {https://m2.mtmt.hu/api/publication/33050466},
	author = {Tasic, Jelena and Takács, Márta and Kovács, Levente},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {19},
	unique-id = {33050466},
	issn = {1785-8860},
	abstract = {In this article, we review recently proposed, advanced methods, for the control of blood glucose levels, in patients with type 1 diabetes. The proposed methods are based on various techniques, such as predictive control, filters, and machine learning. Results have shown that the artificial pancreas may control blood glucose levels better than conservative insulin administration, while avoiding the risk of hypoglycemia or hyperglycemia. The most commonly used methods for controlling blood glucose levels are giving good results, while methods based on machine learning algorithms also offer promising performance. Nevertheless, there are numerous challenges in designing algorithms for the artificial pancreas, which need to be considered. The aim of this research is to provide an overview of the latest achievements in this research field, find the best solutions and, ultimately, improve them in the future.},
	keywords = {NEURAL NETWORKS; sliding mode control; machine learning; Type 1 diabetes; Model predictive control; Kalman filters; Continuous glucose monitoring; Artificial pancreas},
	year = {2022},
	eissn = {1785-8860},
	pages = {127-152},
	orcid-numbers = {Tasic, Jelena/0009-0001-8524-1668; Kovács, Levente/0000-0002-3188-0800}
}

@inproceedings{MTMT:33107077,
	title = {Classification of personalized daily data from continuous glucose monitoring},
	url = {https://m2.mtmt.hu/api/publication/33107077},
	author = {Tasic, Jelena and Takács, Márta},
	booktitle = {IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2022)},
	doi = {10.1109/SISY56759.2022.10036297},
	unique-id = {33107077},
	year = {2022},
	pages = {291-296},
	orcid-numbers = {Tasic, Jelena/0009-0001-8524-1668}
}

@inproceedings{MTMT:31635335,
	title = {Review of Algorithms for Improving Control of Blood Glucose Levels},
	url = {https://m2.mtmt.hu/api/publication/31635335},
	author = {Tasic, Jelena and Eigner, György and Kovács, Levente},
	booktitle = {IEEE 18th International Symposium on Intelligent Systems and Informatics (SISY 2020)},
	unique-id = {31635335},
	year = {2020},
	pages = {179-184},
	orcid-numbers = {Tasic, Jelena/0009-0001-8524-1668; Kovács, Levente/0000-0002-3188-0800}
}

@inproceedings{MTMT:31803827,
	title = {Detection of physical activity using machine learning methods},
	url = {https://m2.mtmt.hu/api/publication/31803827},
	author = {Dénes-Fazakas, Lehel and Szilágyi, László and Tasic, Jelena and Kovács, Levente and Eigner, György},
	booktitle = {20th IEEE International Symposium on Computational Intelligence and Informatics Proceedings (CINTI 2020)},
	doi = {10.1109/CINTI51262.2020.9305845},
	unique-id = {31803827},
	year = {2020},
	pages = {167-172},
	orcid-numbers = {Dénes-Fazakas, Lehel/0009-0003-9879-5664; Tasic, Jelena/0009-0001-8524-1668; Kovács, Levente/0000-0002-3188-0800}
}