Results 1 to 10 of about 3,389,957 (374)
Real-Time Facial Affective Computing on Mobile Devices
Sensors, 2020 Convolutional Neural Networks (CNNs) have become one of the state-of-the-art methods for various computer vision and pattern recognition tasks including facial affective computing.
Yuanyuan Guo +4 more
doaj +2 more sources
Critical issues for the development of distributed real-time computing systems
[1990] Proceedings. Second IEEE Workshop on Future Trends of Distributed Computing Systems, 2002 From among the numerous issues involved with distributed real-time computing systems, those which are viewed as being central to designing such systems are presented.
Gérard Le Lann
openalex +3 more sources
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
openalex +8 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source