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A Trustworthy Architecture for Wireless Industrial Sensor Networks: Research Roadmap of EU TWISNet Trust and Security Project.

, , , , , , , , , and . SysSec@DIMVA, page 63-66. IEEE, (2011)

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SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data., , , , , and . ECCV Workshops (2), volume 11130 of Lecture Notes in Computer Science, page 43-58. Springer, (2018)A reward-based routing protocol to reduce the EMF exposure over wireless mesh networks., , , , and . Wireless Days, page 1-4. IEEE, (2014)Scalability Study of Two Weather Prediction Models., , and . CSCS, page 129-136. IEEE, (2013)Framework for Mapping Data Mining Applications on GPUs., and . ISPDC, page 71-78. IEEE Computer Society, (2011)UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation., , , , , , and . ICRA, page 6526-6532. IEEE, (2022)Self-supervised Hypergraphs for Learning Multiple World Interpretations., , , , , , , and . ICCV (Workshops), page 983-992. IEEE, (2023)Challenges and Current Results of the TWISNet FP7 Project - (Extended Abstract)., , , , , , , , , and 1 other author(s). TrustBus, volume 7449 of Lecture Notes in Computer Science, page 232-233. Springer, (2012)Parallelization of High Dynamic Range Image Creation on Multi-core Processor Architectures., , , and . ISPDC, page 262-265. IEEE Computer Society, (2011)Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization., , , and . CVPR Workshops, page 220-224. Computer Vision Foundation / IEEE Computer Society, (2018)Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning., , , , , , , and . CVPR Workshops, page 3215-3223. Computer Vision Foundation / IEEE, (2021)