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Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360° perception and temporal reasoning. To address this gap, we introduce Zenseact Open Dataset (ZOD), a large- scale and diverse multimodal dataset collected over two years in various European countries, covering an area 9×that of existing datasets. ZOD boasts the highest range and
A new model for the estimation of the QT-RR adaptation time lag using exercise ECG stress testing has been proposed, assuming a linear heart rate trend during the test. In this work, simulated ECGs have been generated based on heart rate patterns with oscillations at different frequencies to demonstrate that the assumption can be relaxed so that the QTRR adaptation time lag can be adequately estim
Plant phenology provides information on the seasonal dynamics of plants, and changes herein are important for understanding the impact of climate change and human management on the biosphere. Land surface phenology is the study of plant phenology across large spatial scales estimated by satellite observations. However, satellite observations (pixels) are often composed of a mixture of vegetation t
Virtual reality (VR) offers promising opportunities for procedural learning, particularly in preserving intangible cultural heritage. Advances in generative artificial intelligence (Gen-AI) further enrich these experiences by enabling adaptive learning pathways. However, evaluating such adaptive systems using traditional temporal metrics remains challenging due to the inherent variability in Gen-A
Social inclusion and the importance of work in developing countries has been an increasing topic of conversation during recent AIS conferences, and there are calls for research into ‘making a better world with ICT’. Trauth (2017) in her ‘Research Agenda for Social Inclusion in Information Systems’ states that “social inclusion in the information systems field is a research topic whose time has com
This paper studies the impact of land use and land cover change (LULCC) on the climate around 2500 years ago (2.5 ka), a period of rapid transitions across the European landscape. One global climate model was used to force two regional climate models (RCMs). The RCMs used two land cover descriptions. The first was from a dynamical vegetation model representing potential land cover, and the second
Smart cities and 3D printing technologies are attracting unprecedented attention with signs that they will be key drivers of societal and economic change. Yet, the connection in how 3D printing can enhance smart cities remains understudied. To this end, this paper argues that 3D printing has widespread applications across higher education and smart city settings through the opening and democratizi
Land subsidence (LS) is among the most critical environmental problems, affecting both agricultural sustainability and urban infrastructure. Existing methods often use either simple regression models or complex hydraulic models to explain and predict LS. There are few studies that identify the risk factors and predict the risk of LS using machine learning models. This study compares four tree-base
Using a novel methodological approach to measure emotions in Facebook comments, this Work in Progress (WIP) paper explores the relationship between negative feelings and ideological cross-posting behavior. Using the VoxPopuli data harvester, we collect over 770,000 public Facebook comments1 from the three major political campaign pages active during the Brexit referendum. After sorting users into
Identification of cancer pathways is the central goal in the cancer gene expression data analysis. A cellular automaton is a dynamic system with cells, which are uniform, interconnected and discrete in nature. Cellular automata are well-known methods to predict network traffics in cellular spaces. Therefore, to predict cancer pathways involved, we propose a 2-dimensional cellular automata approach
A new numerical model of regional sediment transport and barrier elongation, supplied by sediment coming from longshore sediment transport (LST), was developed. The spit growth and barrier elongation model was based on the model proposed by Kraus (1999). The LST rate used as input for the spit growth and barrier elongation model was simulated by the one-line model of shoreline change (Hanson, 1987
This research investigated how the employees of a company experienced a VR-model of an office building that was to be their future work place and how that VR-experience com¬pared with the employees’ experience of the completed building. About two years after the VR-showings the building was completed and the staff had moved into the building. The results for the employees who saw the VR-presentati
In this paper we present one approach to understand palpability from the perspective of eco-systems of palpable devices. We will introduce the notion of Palpable Interaction Ecology that particular focus upon the properties that emerge from the interaction between people, their practices and palpable devices. This approach is derived from research into the use of pervasive healthcare services that
Digitalization is considered as an important strategy to meet the challenges facing healthcare sector. However, the results often fall below expectations. Furthermore, the literature has provided a fragmented understanding as previous studies have generally focused on the advantages and the barriers of the adoption of health care IS. Very little attention has been paid to the generative mechanisms
