Outputs (604)

Object Detection Using Sim2Real Domain Randomization for Robotic Applications (2022)
Journal Article
Horváth, D., Erdős, G., Istenes, Z., Horváth, T., & Földi, S. (2023). Object Detection Using Sim2Real Domain Randomization for Robotic Applications. IEEE Transactions on Robotics, 39(2), 1225-1243. https://doi.org/10.1109/tro.2022.3207619

Robots working in unstructured environments must be capable of sensing and interpreting their surroundings. One of the main obstacles of deep-learning-based models in the field of robotics is the lack of domain-specific labeled data for different ind... Read More about Object Detection Using Sim2Real Domain Randomization for Robotic Applications.

6E analyses of a new solar energy-driven polygeneration system integrating CO2 capture, organic Rankine cycle, and humidification-dehumidification desalination (2022)
Journal Article
Khani, N., Khoshgoftar Manesha, M., & Onishi, V. (2022). 6E analyses of a new solar energy-driven polygeneration system integrating CO2 capture, organic Rankine cycle, and humidification-dehumidification desalination. Journal of Cleaner Production, 379, Article 134478. https://doi.org/10.1016/j.jclepro.2022.134478

Integrated solar-assisted polygeneration systems have emerged as an effective and sustainable alternative for meeting thermal, power and freshwater demands through decentralized generation. In this framework, this study introduces a new design and dy... Read More about 6E analyses of a new solar energy-driven polygeneration system integrating CO2 capture, organic Rankine cycle, and humidification-dehumidification desalination.

A Quantitative Field Study of a Persuasive Security Technology in the Wild (2022)
Presentation / Conference Contribution
Vargheese, J. P., Collinson, M., & Masthoff, J. (2022, October). A Quantitative Field Study of a Persuasive Security Technology in the Wild. Presented at SocInfo'22: International Conference on Social Informatics 2022, Glasgow, UK

Persuasive techniques and persuasive technologies have been suggested as a means to improve user cybersecurity behaviour, but there have been few quantitative studies in this area. In this paper, we present a large scale evaluation of persuasive mess... Read More about A Quantitative Field Study of a Persuasive Security Technology in the Wild.

The Aesthetics of Uncertainty: Co-Constructing Playful Ways of Knowing and Understanding Extended Reality (XR) and Care Identity. (2022)
Presentation / Conference Contribution
Morrison, J., & Kranicz, M. (2022, October). The Aesthetics of Uncertainty: Co-Constructing Playful Ways of Knowing and Understanding Extended Reality (XR) and Care Identity. Presented at NordiCHI '22: Nordic Human-Computer Interaction Conference, Aarhus, Denmark

This research focuses on investigating new modalities of experience with lens-based technologies and creative expression for meaning-making with care experienced individuals. The digital artefacts presented in the demo emerged from trauma-informed Re... Read More about The Aesthetics of Uncertainty: Co-Constructing Playful Ways of Knowing and Understanding Extended Reality (XR) and Care Identity..

YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment (2022)
Journal Article
Muksit, A. A., Hasan, F., Hasan Bhuiyan Emon, M. F., Haque, M. R., Anwary, A. R., & Shatabda, S. (2022). YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment. Ecological Informatics, 72, Article 101847. https://doi.org/10.1016/j.ecoinf.2022.101847

Over the last few years, several research works have been performed to monitor fish in the underwater environment aimed for marine research, understanding ocean geography, and primarily for sustainable fisheries. Automating fish identification is ver... Read More about YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment.

Barriers and opportunities of fast-growing biobased material use in buildings (2022)
Journal Article
Göswein, V., Arehart, J., Phan-huy, C., Pomponi, F., & Habert, G. (2022). Barriers and opportunities of fast-growing biobased material use in buildings. Buildings and Cities, 3(1), 745-755. https://doi.org/10.5334/bc.254

Limiting global warming to 1.5°C requires immediate and drastic reductions in greenhouse gas (GHG) emissions. A significant contributor to anthropogenic global GHG emissions is the production of building materials. Biobased materials offer the potent... Read More about Barriers and opportunities of fast-growing biobased material use in buildings.

A brain atlas of synapse protein lifetime across the mouse lifespan (2022)
Journal Article
Bulovaite, E., Qiu, Z., Kratschke, M., Zgraj, A., Fricker, D. G., Tuck, E. J., …Grant, S. G. (2022). A brain atlas of synapse protein lifetime across the mouse lifespan. Neuron, 110(24), 4057-4073. https://doi.org/10.1016/j.neuron.2022.09.009

The lifetime of proteins in synapses is important for their signaling, maintenance, and remodeling, and for memory duration. We quantified the lifetime of endogenous PSD95, an abundant postsynaptic protein in excitatory synapses, at single-synapse re... Read More about A brain atlas of synapse protein lifetime across the mouse lifespan.

Energy Storage Systems: Optimization and Applications (2022)
Book
Mathew, V. K., Hotta, T. K., Ali, H. M., & Sundaram, S. (Eds.). (2022). Energy Storage Systems: Optimization and Applications. Singapore: Springer. https://doi.org/10.1007/978-981-19-4502-1

This book discusses generalized applications of energy storage systems using experimental, numerical, analytical, and optimization approaches. The book includes novel and hybrid optimization techniques developed for energy storage systems. It provide... Read More about Energy Storage Systems: Optimization and Applications.

Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer (2022)
Journal Article
Bagadi, K., Ravikumar, C., Sathish, K., Alibakhshikenari, M., Virdee, B. S., Kouhalvandi, L., Olan-Nuñez, . K. N., Pau, G., See, C. H., Dayoub, I., Livreri, . P., Aïssa, S., Falcone, F., & Limiti, E. (2022). Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer. IEEE Access, 10, 105674-105684. https://doi.org/10.1109/ACCESS.2022.3211392

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral e... Read More about Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer.

A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems (2022)
Journal Article
Aslan, A., Ursavas, E., & Romeijnders, W. (2023). A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems. Omega, 115, Article 102779. https://doi.org/10.1016/j.omega.2022.102779

This paper studies a unique precedence constrained knapsack problem in which there are two methods available to place an item in the knapsack. Whether or not an item weight is uncertain depends on which one of the two methods is selected. This knapsa... Read More about A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems.