“…Finally, we comment on how Petite colony detection as a computer vision problem highlights ongoing difficulties with small object detection in existing object detection architectures. CONCLUSION: Colony detection with petiteFinder results in high accuracy Petite and Grande detection in images in a completely automated fashion. …”
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“…These layers would be supplemented by investment in application software in order to build and share expertise in ensuring that applications are capable of exploiting evolving computing architectures. The expectation is that a continuum of financial models is appropriate ranging from sponsored resources for peer‐reviewed scientific cases to communities who would pay for the services they receive, thus the services they receive must be appropriate and provide a clear value. …”
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“…On this occasion, it has been suggested that the use of such processes, though promising, requires high care and often the application of special architectural and layout techniques. Failures could come not only from total dose effects, but also from Single Event Effects~(SEE), and particularly from latchup that can destroy ICs completely, or render them unusable if they are not protected by an anti-latchup system.\\ \\The use of Commercial Off The Shelf~(COTS) parts is getting more and more popular in the Space community, where the total dose tolerance required is around 20-50~krad over a ten year mission. …”
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“…APPROACH: We employ “DenseED” blocks in existing SR ML network architectures. DenseED blocks use a dense layer that concatenates features from the previous convolutional layer to the next convolutional layer. …”
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“…Pessoa employs 2D graph network theory to support his views on distributed brain organization and operation, concluding that brains evolve through dual-process competition and cooperation to form highly embedded computational architectures with little structure–function compartmentalization. …”
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“…An integrated novel data augmentation technique is particularly crucial due to the harsh reality of the availability of generally only a relatively limited dataset of analog circuits’ schematics (i.e., sample architectures) in practical settings. Through a comprehensive ontology, we first introduce a graph representation framework of the circuits’ schematics, which consists of converting the circuit’s related netlists into graphs. …”
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“…Two convolutional neural networks, ResNet-50 and VGG-16 models were adopted to examine the performance of different deep learning architectures and validate their feasibility in diagnosis of the targeted skin NTDs. …”
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“…The project aims to classify three broad groups of herpetofaunal species (i.e., toads/frogs, lizards, and snakes) from camera trap images with deep learning architectures. The experiment includes balancing the imbalanced dataset, investigating several image preprocessing techniques, and augmentation procedures. …”
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“…In Amazonian savannas, this may mean investing in buffering water loss (e.g. succulence) at leaf level or safer structures (e.g. thicker pit membranes) and architectures (e.g. vessel grouping) in their branch xylem.…”
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“…These data may indicate early abnormalities of neuronal function following cyto-architectural alterations in SCZ. The current mechanistic knowledge on brain aging, epigenetic changes, and their neuropsychiatric disease association remains incomplete. …”
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“…Furthermore, the overall AVIC shape changes after Cytochalasin suggested that AVICs from TAVs and BAVs develop different stress fiber architectures. These findings are the first evidence of sex-specific differences in basal tonus state in human AVICs in varying disease states. …”
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“…SIMPLE SUMMARY: Recent studies have emphasized the importance of intestinal mucosal architectural changes in chronic enteropathies such as celiac disease and chronic environmental enteropathies in human beings. …”
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“…Also, when stocking density was increased, tissue-level histo-architectural changes were more pronounced than when stocking density was kept low. …”
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“…The material maintained architectural integrity following the removal of the probes, leaving no residual fibers on the porcine airway mucosa. …”
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“…Two convolutional neural networks, ResNet-50 and VGG-16 models were adopted to examine the performance of different deep learning architectures and validate their feasibility in diagnosis of the targeted skin NTDs. …”
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“…A dataset comprising 1120 suspicious and 1058 non-suspicious oral cavity photographic images taken by trained front-line healthcare workers (FHWs) was used for evaluating the performance of different deep learning models based on convolution (DenseNets) and Transformer (Swin) architectures. The best-performing model was also tested on an additional independent test set comprising 440 photographic images taken by untrained FHWs (set I). …”
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“…This is achieved through the overview of our advanced theoretical and computational modeling toolbox suitable for interpretation of experimental observations and discovery of novel, tunable assemblies and architectures. In the past decade, we have produced a significant, fundamental body of work on the development of comprehensive theories based on a rigorous mathematical foundation. …”
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“…At the same time, we assessed the potential of the combined ultrasound and molecular evaluation of nodules and considered the distinctiveness of two main subcategories of Bethesda category III: nodules with nuclear atypia and nodules with other types of atypia (predominantly architectural). As we show, this approach facilitates clinical decision making for both of these subcategories and prevents a significant number of diagnostic thyroid surgeries. …”
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“…Candidate models used a range of architectures. Feature selection was semi-automated and incorporated publicly available data from knowledge graphs. …”
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“…Three different convolutional neural networks (CNNs) with R2 + 1D, TIN, and ResNet-3D architectures were used to build the models. The performance of the US video DL models was compared with that of US static image DL models and axillary US examination performed by ultra-sonographers. …”
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