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Outputs (124)

HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM based Caches (2025)
Journal Article
Chakraborty, S., Bunnam, T., Arunruerk, J., Agarwal, S., Yu, S., Shafik, R., & Sjalander, M. (online). HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM based Caches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, https://doi.org/10.1109/TCAD.2025.3546855

This paper proposes a comprehensive thermal modeling and simulation framework, HotReRAM, for resistive RAM (ReRAM)-based caches that is verified against a memristor circuit-level model. The simulation is driven by power traces based on cache accesses... Read More about HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM based Caches.

Experimental Evaluation of Multi- and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation (2025)
Journal Article
Alsayed, A., Bana, F., Arvin, F., Quinn, M. K., & Nabawy, M. R. A. (2025). Experimental Evaluation of Multi- and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation. Aerospace, 12(3), Article 189. https://doi.org/10.3390/aerospace12030189

This study examines the application of low-cost 1D LiDAR sensors in drone-based stockpile volume estimation, with a focus on indoor environments. Three approaches were experimentally investigated: (i) a multi-drone system equipped with static, downwa... Read More about Experimental Evaluation of Multi- and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation.

Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems (2025)
Journal Article
Liebherr, M., Enkel, E., Law, E. L.-C., Mousavi, M. R., Sammartino, M., & Sieberg, P. (in press). Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems. International Journal on Software Tools for Technology Transfer,

Trust is a multi-faceted phenomenon traditionally studied in human relations and more recently in human-machine interactions. In the context of AI-enabled systems, trust is about the belief of the user that in a given scenario the system is going to... Read More about Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems.

Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings (2025)
Presentation / Conference Contribution
Wynn, A., Wang, J., & Tan, X. (2025, July). Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings. Presented at The 26th International Conference on Artificial Intelligence in Education, Palermo, Italy

Understanding speaker confidence is crucial in educational settings, as it can enhance personalised feedback and improve learning outcomes. This study introduces a novel framework for detecting speaker confidence by integrating human-engineered featu... Read More about Semi-supervised Speech Confidence Detection using Psuedo-labelling and Whisper Embeddings.

1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise (2025)
Journal Article
Ciardo, L., Kozik, M., Krokhin, A., Nakajima, T.-V., & Živný, S. (2025). 1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise. ACM Transactions on Computational Logic, 26(2), 1-22. https://doi.org/10.1145/3719007

The 1-in-3 and Not-All-Equal satisfiability problems for Boolean CNF formulas are two well-known NP-hard problems. In contrast, the promise 1-in-3 vs. Not-All-Equal problem can be solved in polynomial time. In the present work, we investigate this co... Read More about 1-in-3 vs. Not-All-Equal: Dichotomy of a broken promise.

SKDU at De-Factify 4.0: Natural language features for AI-Generated Text-Detection (2025)
Presentation / Conference Contribution
Maviya, S., Arnau-González, P., Arevalillo-Herráez, M., & Katsigiannis, S. (2025, February). SKDU at De-Factify 4.0: Natural language features for AI-Generated Text-Detection. Presented at De-factify 4.0 Workshop at 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction (2025)
Journal Article
Li, R., Qiao, T., Katsigiannis, S., Zhu, Z., & Shum, H. P. (2025). Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction. IEEE Transactions on Circuits and Systems for Video Technology, 35(7), 7047-7060. https://doi.org/10.1109/TCSVT.2025.3539522

Pedestrian trajectory prediction aims to forecast future movements based on historical paths. Spatial-temporal (ST) methods often separately model spatial interactions among pedestrians and temporal dependencies of individuals. They overlook the dire... Read More about Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction.

3D data augmentation and dual-branch model for robust face forgery detection (2025)
Journal Article
Zhou, C., Li, F. W., Song, C., Zheng, D., & Yang, B. (2025). 3D data augmentation and dual-branch model for robust face forgery detection. Graphical Models, 138, Article 101255. https://doi.org/10.1016/j.gmod.2025.101255

We propose Dual-Branch Network (DBNet), a novel deepfake detection framework that addresses key limitations of existing works by jointly modeling 3D-temporal and fine-grained texture representations. Specifically, we aim to investigate how to (1) cap... Read More about 3D data augmentation and dual-branch model for robust face forgery detection.