Mostrando 921 - 940 Resultados de 955 Para Buscar '"Caltech"', tiempo de consulta: 0.35s Limitar resultados
  1. 921
    por Carminati, Federico
    Publicado 2019
    “…After getting his Master in Physics at the University of Pavia, Italy in 1981 he worked at Los Alamos and Caltech as particle physicist before being hired by CERN in the Data Handling Division. …”
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    Quantum Computing for High Energy Physics Applications
  2. 922
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    Generation of a C. elegans tdp-1 null allele and humanized TARDBP containing human disease-variants.
  3. 923
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    mScarlet and split fluorophore mScarlet resources for plasmid-based CRISPR/Cas9 knock-in in C. elegans
  4. 924
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    A missense mutation in the C. elegans src-2 tyrosine-protein kinase reduces brood size and enhances embryonic morphogenesis defects in src-1(RNAi) conditions
  5. 925
    “…NeuEvo achieves state-of-the-art performance on CIFAR10, DVS-CIFAR10, DVS-Gesture, and N-Caltech101 datasets and achieves advanced performance on ImageNet. …”
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    Brain-inspired neural circuit evolution for spiking neural networks
  6. 926
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    The novel gene, mtre-1 , is expressed downstream of MAB-3 and DMD-3 in the male tail tip at the termination of male tail tip retraction.
  7. 927
    “…Our data have been incorporated into a user-friendly genome browser located at www.Aedes.caltech.edu, with relevant links to Vectorbase (www.vectorbase.org)…”
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    The Developmental Transcriptome of the Mosquito Aedes aegypti, an Invasive Species and Major Arbovirus Vector
  8. 928
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    Meiotic H3K9me2 distribution is influenced by the ALG-3 and ALG-4 pathway and by poly(U) polymerase activity
  9. 929
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    Genetic diversity estimates for the Caenorhabditis Intervention Testing Program screening panel
  10. 930
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    C. elegans show Preference for Pseudomonas mendocina (MSPm1) and Proteus mirabilis ( P. mirabilis sp?) , and Repulsion to Pseudomonas lurida (MYb11); Growth on Pseudomonas mendocina (MSPm1) Increases Attraction to 2-nonanone
  11. 931
    “…Here, we characterize the consistency of brain responses across independent samples of participants viewing the same videos in functional magnetic resonance imaging (fMRI) scanners at different sites (Indiana University and Caltech). We compared brain responses collected at these different sites for two carefully matched datasets with identical scanner models, acquisition, and preprocessing details, along with a third unmatched dataset in which these details varied. …”
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    Video‐evoked fMRI BOLD responses are highly consistent across different data acquisition sites
  12. 932
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    The cytochrome P450 Cyp6t3 is not required for ecdysone biosynthesis in Drosophila melanogaster
  13. 933
    por Duarte, Javier Mauricio
    Publicado 2017
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    Naturalness confronts nature: searches for supersymmetry with the CMS detector in pp collisions at $\sqrt{s}=8$ and $13$ TeV
  14. 934
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    Chemical Genetics Screen of EVP4593 Sensitivity in Budding Yeast Identifies Effects on Mitochondrial Structure and Function
  15. 935
    “…Five pre-trained models are used: ResNet50, DenseNet169, InceptionV3, VGG16 and MobileNetV2 on nine datasets: CIFAR-10, CIFAR-100, MNIST, Fashion-MNIST, Stanford Dogs, Caltech 256, ISIC 2016, ChestX-ray8 and MIT Indoor Scenes. …”
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    Improved transfer learning using textural features conflation and dynamically fine-tuned layers
  16. 936
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    A toolkit for assembly of targeting clones for C. elegans transgenesis
  17. 937
    por Li, Yinlin, Wu, Wei, Zhang, Bo, Li, Fengfu
    Publicado 2015
    “…By adding a softmax layer at the top of the model, multiclass categorization experiments can be conducted, and the results on Caltech101 show that the enhanced model with a smaller memory size exhibits higher accuracy than the original HMAX model, and could also achieve better accuracy than other unsupervised feature learning methods in multiclass categorization task.…”
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    Enhanced HMAX model with feedforward feature learning for multiclass categorization
  18. 938
    “…In 2015, the National Science Foundation Alliance for Graduate Education and the Professoriate (NSF AGEP) California Alliance (Berkeley, Caltech, Stanford, UCLA) conducted a wide-ranging survey of graduate students across the mathematical, physical, engineering, and computer sciences in order to identify levers to improve the success of PhD students, and, in time, improve diversity in STEM leadership positions, especially the professoriate. …”
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    Structure and belonging: Pathways to success for underrepresented minority and women PhD students in STEM fields
  19. 939
    “…In addition, benchmark lane marking segmentation methods and Caltech lanes dataset were also considered for comparison evaluation in lane detection. …”
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    Online Artículo Texto
    Vision-based lane departure warning framework
  20. 940
    “…We evaluate our approach on two different fronts, covering both model- and machine-learning-based approaches, using two different datasets, namely the Caltech and TuSimple lane detection datasets, respectively. …”
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    Online Artículo Texto
    A Multilane Tracking Algorithm Using IPDA with Intensity Feature
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