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3381por Atlas Level-2 Groups“…The ATLAS level-2 trigger has to offer an event rate reduction of approximately 1 in 100, from an input rate of up to 100~kHz. An RoI guided scheme and a sequential selection strategyreduces the resources required. …”
Publicado 2000
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3382por Kama, Sami“…The second-level trigger operates over limited regions of the detector, the so-called Regions-of-Interest (RoI). The last selection step deals instead with complete events. …”
Publicado 2012
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3383por Kama, S“…The second-level trigger operates over limited regions of the detector, the so-called Regions-of-Interest (RoI). The last selection step deals instead with complete events. …”
Publicado 2012
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3384por Krasznahorkay, A“…The second-level trigger operates over limited regions of the detector, the so-called Regions-of-Interest (RoI). The third-level trigger deals instead with complete events. …”
Publicado 2013
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3385por Oliveira Damazio, D“…The Level 2 (L2) works only in the regions that caused the first level to fire, the so called Regions Of Interest (RoI), calculating special features like the energy and shower shape variables of clusters of calorimeter cells. …”
Publicado 2013
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3386“…Firstly, we utilized Local Interpretable Model-agnostic Explanations (LIME) to justify the necessity of the region of interest (ROI) process and further prepared ROI via U-Net segmentation that masked out non-lung areas of images to prevent the classifier from being distracted by irrelevant features. …”
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3387“…We use UV and Halogen excitations in this study. Region of interest(ROI) of hyperspectral images of 256 oil samples from four varieties are obtained within the spectral region of 400–720nm. …”
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3388“…Spherical region of interest (ROI) was placed on the right hepatic lobe, spleen, pancreas, and renal cortices. …”
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3389“…In this study, we tested the hypothesis that reactive oxygen intermediates (ROI) released from activated polymorphonuclear leukocytes (PMN) are involved in inflammation‐associated bladder carcinogenesis. …”
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3390por Speaker, Paul J.“…We offer some guidance for the optimum use of limited resources, through the measurement of the return on investment (ROI) at the jurisdictional level (i.e., that is, the net benefits to society relative to the investment itself). …”
Publicado 2019
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3391por Liaw, Jiun-Jian, Huang, Yung-Fa, Hsieh, Cheng-Hsiung, Lin, Dung-Ching, Luo, Chin-Hsiang“…First, a series of image processing schemes are employed to automatically select the region of interest (RoI) for PM(2.5) concentration estimation. Through the selected RoI, a single feature is obtained. …”
Publicado 2020
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3392“…After extracting the ROI from the input image, connected component(CC) analysis and bounding box technology are used for segmentation of Bangla words. …”
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3393“…Further, weighted-norm solutions are utilized to correct the positions of FFP to improve the accuracy of FFP displacement in the region of interest (ROI). As MNPs, ferrofluid is used to experiment with 2D and 3D localizations in a blocked phantom placed in the designed ROI. …”
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3394“…This paper considers common complex constraints in industrial environments and proposes a You Only Look Once Version 2 Region of Interest (YOLO-v2-ROI) neural network image processing algorithm based on machine learning. …”
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3395“…We assessed the normalized signal intensities of a region of interest (ROI) set in the vitreous body after H(2)(17)O administration. …”
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3396“…Firstly, we proposed an Exact R-CNN based on a series of advanced techniques including FPN (feature pyramid network), cascade regression, and GIoU (generalized intersection over union). RoI Align (region of interest align) is introduced to replace RoI pooling (region of interest pooling) to address the misalignment problem, and the depthwise separable convolution and linear bottleneck are introduced to reduce the computational burden. …”
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3397“…The swarm intelligence (SI) algorithms were used for skin lesion region of interest (RoI) segmentation from dermoscopy images, and the speeded-up robust features (SURF) was used for feature extraction of the RoI marked as the best segmentation result obtained using the Grasshopper Optimization Algorithm (GOA). …”
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3398por Migliorini, Filippo, Eschweiler, Jörg, Maffulli, Nicola, Hildebrand, Frank, Schenker, Hanno“…The region of interest (ROI) represented the percentage of the surrounding area of the implant. …”
Publicado 2022
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3399“…In our method, (1) a Convolutional Neural Network (CNN) was employed to classify layer classes; (2) images were chosen to perform Region of Interest (ROI) cropping; (3) in ROI regions, we used a YOLO v3 and multi-level combined teeth detection method to locate each tooth bounding box; (4) we obtained tooth bounding boxes on all layers. …”
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3400por Wu, Yunxuan“…Third, it replaces the ROI pooling algorithm with ROI align to eliminate the error caused by the quantization operation on the characteristics of the candidate region. …”
Publicado 2022
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