Hae LUTPubista
Aineistot 1-10 / 20
Emotional responses to energy projects: A new method for modeling and prediction beyond self-reported emotion measure
(Elsevier, 2019-10-11)
A considerable amount of studies report that negative emotions evoked by Wind Energy, Nuclear Energy and CO2 Capture and Storage (CCS) can lead to cancellation of the energy project or a delay in policy decisions for its ...
A Practical Hybrid Active Learning Approach for Human Pose Estimation
(Springer, Cham, 2021-04-10)
Active learning (AL) has not received much attention in deep learning (DL) for human pose estimation. In this paper, a practical hybrid active learning strategy is proposed for training a human pose estimation model, and ...
Designing Personality-Adaptive Conversational Agents for Mental Health Care
(Springer Nature, 2022-03-02)
Millions of people experience mental health issues each year, increasing the necessity for health-related services. One emerging technology with the potential to help address the resulting shortage in health care providers ...
Artificial Intelligence for Supply Chain Success in the Era of Data Analytics
(Springer, Cham, 2021-02-13)
Nowadays, artificial intelligence (AI) is becoming a more effective digital domain promised to facilitate immediate access to information and effective decision making in ever-increasing business environments. While big ...
Augmenting the communication and engagement toolkit for CO2 capture and storage projects
(Elsevier, 2021-02-03)
This paper revisits the Communication and Engagement Toolkit for CO2 Capture and Storage (CCS) projects proposed by Ashworth and colleagues in collaboration with the Global CCS Institute. The paper proposes a new method ...
Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration
(Springer Nature, 2022-07-20)
The increasing importance of artificial intelligence (AI) in everyday work also means that new insights into team collaboration must be gained. It is important to research how changes in team composition affect joint work, ...
Artificial Intelligence of Things as an Accelerator of Circular Economy in International Business
(Palgrave Macmillan, Cham, 2022-04-02)
One of the key factors which influences the future of global economy is resource scarcity and the way businesses, policy makers, and environmental scientists respond to climate change by finding solutions for reducing the ...
Artificial Intelligence Based Smart Waste Management—A Systematic Review
(Springer, Cham, 2022-04-22)
Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various approaches which can help to construct ...
The Impact of Functional and Psychological Barriers on Algorithm Aversion – An IRT Perspective
(Springer, Cham, 2022-09-06)
The application of artificial intelligence (AI) in decision-making is regarded as the most impactful disruption in an organization’s digitalization. However, the benefits of the algorithmic decision can be leveraged only ...
Contrastive Learning for Generating Optical Coherence Tomography Images of the Retina
(Springer, Cham, 2022-09-21)
As a self-supervised learning technique, contrastive learning is an effective way to learn rich and discriminative representations from data. In this study, we propose a variational autoencoder (VAE) based approach to apply ...