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Genetic algorithms in real-time imprecise computing
ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465), 2003 This article describes the use of genetic algorithms in real-time systems that employ the imprecise computation paradigm. In real-time systems, the focus is on ensuring that a set of tasks each complete within their deadlines. Faults may occur in the computation or the environment that can cause missed deadlines.
Leo Budin +2 more
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Comparison of physics-based deformable registration methods for image-guided neurosurgery
Frontiers in Digital Health, 2023 This paper compares three finite element-based methods used in a physics-based non-rigid registration approach and reports on the progress made over the last 15 years.
Nikos Chrisochoides +14 more
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Real-Time Krylov Theory for Quantum Computing Algorithms [PDF]
Quantum, 2023 Quantum computers provide new avenues to access ground and excited state properties of systems otherwise difficult to simulate on classical hardware.
Yizhi Shen +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Masked image modeling (MIM) has been proved to be an optimal pretext task for self-supervised pretraining (SSP), which can facilitate the model to capture an effective task-agnostic representation at the pretraining step and then advance the fine-tuning ...
Tong Zhang +6 more
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Remote Sensing, 2022 Building extraction using very high resolution (VHR) optical remote sensing imagery is an essential interpretation task that impacts human life. However, buildings in different environments exhibit various scales, complicated spatial distributions, and ...
Jianhao Li +7 more
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Remote Sensing, 2023 Change detection is a critical task in remote sensing Earth observation for identifying changes in the Earth’s surface in multi-temporal image pairs. However, due to the time-consuming nature of image collection, labor-intensive pixel-level labeling with
Yute Li +4 more
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Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems
Frontiers in Digital Health, 2021 Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surgery,
Fotis Drakopoulos +15 more
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Remote Sensing, 2022 Currently, under supervised learning, a model pre-trained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dominated knowledge transfer learning.
Tong Zhang +6 more
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Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform
Frontiers in Neurorobotics, 2022 Although we can measure muscle activity and analyze their activation patterns, we understand little about how individual muscles affect the joint torque generated.
Benedikt Feldotto +8 more
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Extending MQTT with Real-Time Communication Services Based on SDN
Sensors, 2022 MQTT is one of the most popular application-layer protocols used in the scope of the Internet-of-Things (IoT) and Industrial-Internet-of-Things (IIoT), given its suitability for resource-constrained embedded systems.
Ehsan Shahri +2 more
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