11. EcoShower : estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer modelsLukas Sablica, Bettina Grün, Siamak Layeghy, Sara Dolnicar, Marius Portmann, 2025, izvirni znanstveni članek Opis: This paper tackles the challenge of accurately estimating shower duration from non-intrusive multi-modal sensor data to facilitate efficient water management. Efficient water usage is a critical environmental challenge, and showering contributes significantly to domestic water consumption. Developing accurate, accessible monitoring solutions is essential for promoting sustainability. Utilizing data from humidity, temperature, sound average, and sound peak sensors, we explore suitable data processing steps and the application of machine learning models to estimate shower duration. Our approach includes the design of a bidirectional Long Short- Term Memory model and the application of an existing Gated Transformer Network model to address the multivariate time series classification task. Our analysis reveals that both models are highly effective in this context, also compared to baseline models, and humidity emerges as a particularly powerful predictor either on its own or when combined with the temperature sensor. This work not only showcases the potential of using machine learning methods for multivariate time series classification in the domain of water consumption but also underscores the implications for adopting such technologies in promoting sustainable water use.
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12. Tourist accommodation choices in nature-based destinations : the case of geotourism destination Kras/CarsoDejan Paliska, Gorazd Sedmak, 2025, izvirni znanstveni članek Opis: This paper explores the relationship between accommodation choices and visitor interests, and characteristics in the emerging cross-border Karst Geopark, a geologically rich nature-based destination. It examines how demographics, interests, and activity prefer- ences influence lodging decisions. Findings indicate that older visitors, women, and repeat tourists favor agritourism, whereas first-time and cross-border travelers prefer private rooms for greater flexibility. Additionally, interests in geotourism and cycling significantly shape accommodation preferences. The study highlights the need for destination man- agers and accommodation providers to tailor offerings to visitor expectations, enhancing tourism benefits. Methodological limitations, including sample imbalance and overlooked external factors, are discussed, with recommendations for future research to refine pre- dictive models and incorporate supply-side attributes. These insights provide valuable guidance for policymakers and tourism stakeholders in developing targeted, sustainable accommodation strategies.
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18. Možnosti nadaljnjega razvoja vinskega in gastronomskega turizma na kmetijah : zaključno poročiloSimon Kerma, Aleš Gačnik, Igor Jurinčič, Emil Juvan, Štefan Bojnec, Dunja Bandelj, Alenka Baruca Arbeiter, Matjaž Hladnik, Barbara Lampič, Dejan Cigale, Irma Potočnik Slavič, Martina Robačer, Franc Bavec, Martina Bavec, 2023, končno poročilo o rezultatih raziskav Ključne besede: agrarna geografija, podeželje, turistična geografija, vinski turizem, gastronomski turizem, turizem na kmetijah, razvoj turizma, Slovenija
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20. Plače (po anketi o strukturi plače), Slovenija, 2006 - končni podatkiMiran Žavbi, 2009 Ključne besede: statistični podatki, statistika, trg dela, plače, bruto plače, struktura plač, povprečne plače, Slovenija
Objavljeno v RUP: 29.01.2021; Ogledov: 2548; Prenosov: 67
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