Squeeze-and-Excitation Networks
Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local ...
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SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell gen...
Manual for the State-Trait Anxiety Inventory
The STAI serves as an indicator of two types of anxiety, the state and trait anxiety, and measure the severity of the overall anxiety level.The STAI, which is appropriate for th...
Random sample consensus
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of interpreting/smoothing data containing a significa...
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...
GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
GROMACS is one of the most widely used open-source and free software codes in chemistry, used primarily for dynamical simulations of biomolecules. It provides a rich set of calc...
Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Kenya one of the African countries has pledged to reduce neonatal death as per the 2030 World Health Organization target. Providing high-quality newborn care is critical in mini...
Climate change 2007: the physical science basis
This report is the first volume of the IPCC's Fourth Assessment Report. It covers several topics including the extensive range of observations now available for the atmosphere a...
Focal Loss for Dense Object Detection
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations...
Comparative fit indexes in structural models.
Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that th...
Numerical Heat Transfer and Fluid Flow
The Special Issue "Numerical Heat Transfer and Fluid Flow 2022" contains scientific articles on experiments and simulations of heat transfer in compressible and incompressible f...
MobileNetV2: Inverted Residuals and Linear Bottlenecks
In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as acr...