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Policy Influence on Consumers’ Evolution into Prosumers—Empirical Findings from an Exploratory Survey in Europe
(2018)
- article
The energy sector is in transition to a flexible and sustainable energy system based on renewable energy sources. This complex transition is affecting multiple levels in the sociotechnical system. One driver of the transition ...
Social media overload, exhaustion, and use discontinuance : Examining the effects of information overload, system feature overload, and social overload
(2020)
- article
While users’ discontinuance of use has posed a challenge for social media in recent years, there is a paucity of knowledge on the relationships between different dimensions of overload and how overload adversely affects ...
Business model diversification through Product-Service Systems: Demand-relatedness perspective
(LUT Scientific and Expertise Publications, 2023)
- conferenceObject
Obtaining a ROS-Based Face Recognition and Object Detection : Hardware and Software Issues
(Springer, 2022)
- conferenceObject
This paper presents solutions for methodological issues that can occur when obtaining face recognition and object detection for a ROS-based (Robot Operating System) open-source platform. Ubuntu 18.04, ROS Melodic and Google ...
Cellular-enabled Wearables in Public Safety Networks: State of the Art and Performance Evaluation
(IEEE, 2020-10-14)
- conferenceObject
With the aim of offering services and products that ensure the safety of people and properties, public safety organizations are responsible for providing the first responders, i.e., police officers, firefighters, and ...
Development, fabrication and evaluation of textile electrodes for EDA measurements
(IEEE, 2022)
- conferenceObject
In this study, textile-based dry electrodes that are integrable to clothing were developed, and their potential and limitations in EDA measurements were characterized. Copper-based and silver-based fabric electrodes and ...
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
(IEEE, 2022)
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Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the ...
Developing Intelligent Multimodal IVI Systems to Reduce Driver Distraction
(Springer, 2019)
- conferenceObject
Improving Deep Learning Anomaly Diagnostics with a Physics-Based Simulation Model
(2024-01-17)
- article
Deep learning algorithms often struggle to accurately distinguish between healthy and anomalous states due to the scarcity of high-quality data in real-world applications. However, these data can be obtained through a ...