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pro vyhledávání: '"Gračanin A"'
In disaster scenarios, effective communication is crucial, yet language barriers often hinder timely and accurate information dissemination, exacerbating vulnerabilities and complicating response efforts. This paper presents a novel, multilingual, vo
Externí odkaz:
http://arxiv.org/abs/2411.08889
Autor:
Splechtna, Rainer, Behravan, Majid, Jelovic, Mario, Gracanin, Denis, Hauser, Helwig, Matkovic, Kresimir
The optimization of cooling systems is important in many cases, for example for cabin and battery cooling in electric cars. Such an optimization is governed by multiple, conflicting objectives and it is performed across a multi-dimensional parameter
Externí odkaz:
http://arxiv.org/abs/2408.12607
Autor:
Ubur, Sunday David, Gracanin, Denis
This narrative review on emotional expression in Speech-to-Text (STT) interfaces with Virtual Reality (VR) aims to identify advancements, limitations, and research gaps in incorporating emotional expression into transcribed text generated by STT syst
Externí odkaz:
http://arxiv.org/abs/2405.13924
Autor:
Mohammadrezaei, Elham, Gracanin, Denis
Publikováno v:
HCI International 2022
Smart Built Environment is an eco-system of `connected' and `smart' Internet of Things (IoT) devices that are embedded in a built environment. Smart lighting is an important category of smart IoT devices that has recently attracted research interest,
Externí odkaz:
http://arxiv.org/abs/2405.06930
Publikováno v:
IEEE Access 2024
This systematic literature review paper explores the use of extended reality {(XR)} technology for smart built environments and particularly for smart lighting systems design. Smart lighting is a novel concept that has emerged over a decade now and i
Externí odkaz:
http://arxiv.org/abs/2405.06928
Lighting has a critical impact on user mood and behavior, especially in architectural settings. Consequently, smart lighting design is a rapidly growing research area. We describe a digital twin-based approach to smart lighting design that uses an im
Externí odkaz:
http://arxiv.org/abs/2407.08741
The brain's attention system is a complex and adaptive network of brain regions that enables individuals to interact effectively with their surroundings and perform complex tasks. This system involves the coordination of various brain regions, includ
Externí odkaz:
http://arxiv.org/abs/2405.01218
The integration of brain-computer interfaces (BCIs) into the realm of smart wheelchair (SW) technology signifies a notable leap forward in enhancing the mobility and autonomy of individuals with physical disabilities. BCIs are a technology that enabl
Externí odkaz:
http://arxiv.org/abs/2404.17895
This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data. We propose a physiological computing approach that includes developing deep learning models that use physiological data for recognizing
Externí odkaz:
http://arxiv.org/abs/2404.15351
Autor:
Nik Gračanin, Matejka Podlogar, Sorour Semsari Parapari, Pascal Boulet, Francisco Ruiz-Zepeda, Sašo Šturm, Nastja Rogan Šmuc
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In this study, we introduce a novel approach using correlative analysis techniques to unravel detailed insights into the environmental influences on crystal growth. Tabular and bipyramidal wulfenite samples from the Mežica mine in north-eas
Externí odkaz:
https://doaj.org/article/c70bf7ef1fab4b46a5adc8e2176cab21
