Sort by
Refine Your Search
-
for mmWave reconfigurable intelligent surface," in Proc. 18th Eur. Conf. Antennas Propag. (EuCAP), Glasgow, U.K. [5] G. G. Machado, A. McKernan, C. Gu, D. Zelenchuk, M. Saikia, O. Yurduseven, S. Cotton
-
architectures, implement co-evolutionary algorithms, and develop rigorous evaluation frameworks measuring adversarial robustness. Outputs include an agent-based simulation toolkit, stress-testing methods, and
-
. Dwork, C. & Roth, A. (2014). "The Algorithmic Foundations of Differential Privacy." *Foundations and Trends in Theoretical Computer Science*, 9(3-4), 211-407. 4. Jordon, J., Yoon, J., & van der Schaar, M
-
advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
-
enabling precise and rapid identification of adulteration. Spectral techniques generate unique chemical fingerprints of food items, which machine learning algorithms analyse to detect inconsistencies and
-
visual inspection. The research will address several challenges: Complex Surfaces: Developing robust algorithms (leveraging Convolutional Neural Networks and Transformers) capable of identifying tiny