1. Piškurji Slovenije : pregled in primerjava metod izlovaLuka Ložar, 2025, diplomsko delo Ključne besede: elektroribolov, Eudontomyzon vladykovi, Lampetra zanandreai, metoda ZZRS, monitoring, piškurji, posplošeni linearni mešani model, učinkovitost izlova, vzorčenje, diplomske naloge
Objavljeno v RUP: 07.10.2025; Ogledov: 232; Prenosov: 0 |
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3. Monitoring of sandflies (Diptera: Psychodidae) and pathogen screening in Slovenia with habitat suitability modelingVladimir Ivović, Peter Glasnović, Sara Zupan, Tea Knapič, Tomi Trilar, Miša Korva, Nataša Knap, Urška Glinšek Biškup, Tatjana Avšič-Županc, Katja Adam, 2025, izvirni znanstveni članek Opis: Sandflies (Diptera: Psychodidae: Phlebotominae) are important vectors of pathogens, including Leishmania parasites and phleboviruses, but their distribution and seasonal activity in Slovenia have not been sufficiently studied. This study presents a comprehensive three-year (2020–2022) surveillance programme aimed at assessing the diversity of sandfly species, their distribution, seasonal dynamics and potential role as vectors of pathogens. A total of 1,240 sandflies were collected at 43 sampling sites across Slovenia, identifying Phlebotomus papatasi, P. neglectus, P. perniciosus and P. mascittii. The highest abundance and species diversity were observed in the Mediterranean and Karst regions. Seasonal activity peaked in July, with population fluctuations influenced by climatic conditions. Molecular analyses for Leishmania parasites and phleboviruses showed no positive results, indicating a low prevalence of pathogens in the sampled populations. Predictive habitat models indicate that environmental factors, particularly temperature and precipitation, play a decisive role in the spread of sandflies. While P. mascittii has the largest ecological range, its vector competence remains uncertain. The results provide important insights into the ecology of sandflies in Slovenia and emphasize the need for continuous surveillance in the context of climate change and emerging vector-borne disease risks.
Ključne besede: sandflies, monitoring, distribution, modeling, Slovenia
Objavljeno v RUP: 04.08.2025; Ogledov: 378; Prenosov: 7
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4. Occupancy estimation using indoor air quality data : opportunities and privacy implicationsDomen Vake, Niki Hrovatin, Jernej Vičič, Aleksandar Tošić, 2025, izvirni znanstveni članek Opis: Indoor Air Quality (IAQ) has long been a significant concern due to its health-related risks and potential benefits. Readily available air quality sensors are now affordable and have been installed in many buildings with public buildings taking center stage. The dynamics of IAQ are commonly studied in relation to different materials used in construction, building design, room utility and effects on occupants. However, besides what the sensors were designed to measure, it is possible to infer other information. In this paper, we present a Machine Learning (ML) model that predicts the presence of people in the room with an accuracy as high as 93 % and the exact number of occupants with 2.17 MAE. We validate our proposed approach in the use-case of an elementary school in Slovenia. In collaboration with the elementary school in Ajdovščina, 8 air quality sensors were placed in classrooms and air quality parameters (VOC, CO, Temperature, and Humidity) were monitored for 6 months. During the monitoring period, school staff collected anonymous data about classroom occupancy. The indoor air quality data was paired with external weather data as well as occupancy to train the model. Moreover, we compare our approach with other commonly used ML approaches and provide results related to our use case. Finally, these results highlight the privacy concerns related to structural monitoring due to the established ability to infer potentially sensitive information.
Ključne besede: indoor air quality, occupancy estimation, machine learning, sensor networks, privacy, building monitoring
Objavljeno v RUP: 02.06.2025; Ogledov: 752; Prenosov: 7
Celotno besedilo (3,66 MB)
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7. Extending BIM for air quality monitoringMichael Nicolas Mrissa, Jan Vcelak, László Hajdu, Balázs Dávid, Miklós Ferenz Krész, Jakub Michal Sandak, Anna Malgorzata Sandak, Rok Kanduti, Monika Varkonji, Anja Jutraž, Katja Malovrh Rebec, 2020, objavljeni znanstveni prispevek na konferenci Ključne besede: Building Information Model, internet of things, environmental quality monitoring, healthy living
Objavljeno v RUP: 06.05.2021; Ogledov: 2546; Prenosov: 111
Celotno besedilo (18,89 MB)
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8. Monitoring mass timber buildings : a case study of the InnoRenew CoE buildingEva Prelovšek Niemelä, Aarne Niemelä, Andreja Kutnar, Anna Malgorzata Sandak, Jan Vcelak, Jakub Michal Sandak, Iztok Šušteršič, 2020, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: sustainable architecture, mass timber buildings, CLT, structural monitoring, hygrothermal monitoring, timber façade, microclimate
Objavljeno v RUP: 07.08.2020; Ogledov: 3980; Prenosov: 94
Celotno besedilo (27,04 MB)
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9. Media monitoring using news recommendersFrancesco Barile, Francesco Ricci, Marko Tkalčič, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza, 2019, objavljeni znanstveni prispevek na konferenci Ključne besede: content analysis, media monitoring, news recommender systems
Objavljeno v RUP: 11.02.2020; Ogledov: 4460; Prenosov: 109
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10. ACM RecSys'19 late-breaking results (posters)Marko Tkalčič, Maria Soledad Pera, 2019, predgovor, uvodnik, spremna beseda Ključne besede: ACM RecSys'19 late-breaking results, RecSys'19 LBR, RecSys'19 posters, media monitoring, news, recommender system
Objavljeno v RUP: 11.02.2020; Ogledov: 2544; Prenosov: 54
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