Results 1 to 10 of about 2,992,643 (211)

Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms [PDF]

open access: goldIEEE Access, 2020
Several causes make brain cancer identification a challenging task for neurosurgeons during the surgical procedure. The surgeons’ naked eye sometimes is not enough to accurately delineate the brain tumor location and extension due to its diffuse nature ...
Giordana Florimbi   +7 more
openalex   +2 more sources

Real-Time Facial Affective Computing on Mobile Devices

open access: yesSensors, 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

Real-time decoding for fault-tolerant quantum computing: progress, challenges and outlook [PDF]

open access: yesNano Futures, 2023
Quantum computing is poised to solve practically useful problems which are computationally intractable for classical supercomputers. However, the current generation of quantum computers are limited by errors that may only partially be mitigated by ...
F. Battistel   +7 more
semanticscholar   +1 more source

Satellite Edge Computing for Real-Time and Very-High Resolution Earth Observation [PDF]

open access: yesIEEE Transactions on Communications, 2022
In high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture and transmit images to ground to create an updated map of an area of interest. Such maps provide valuable information for meteorology and environmental monitoring, but
Israel Leyva-Mayorga   +6 more
semanticscholar   +1 more source

Comparison of physics-based deformable registration methods for image-guided neurosurgery

open access: yesFrontiers 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

Scalable Photonic Platform for Real-Time Quantum Reservoir Computing [PDF]

open access: yesPhysical Review Applied, 2022
Quantum Reservoir Computing (QRC) exploits the information processing capabilities of quantum systems to solve non-trivial temporal tasks, improving over their classical counterparts. Recent progress has shown the potential of QRC exploiting the enlarged
Jorge Garc'ia-Beni   +3 more
semanticscholar   +1 more source

Object-Centric Masked Image Modeling-Based Self-Supervised Pretraining for Remote Sensing Object Detection

open access: yesIEEE 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

Real-Time Krylov Theory for Quantum Computing Algorithms [PDF]

open access: yesQuantum, 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

Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery

open access: yesRemote 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

Multi-Temporal SamplePair Generation for Building Change Detection Promotion in Optical Remote Sensing Domain Based on Generative Adversarial Network

open access: yesRemote 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

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