Thresholds in river regimes
AD Howard - Thresholds in geomorphology, 2020 - taylorfrancis.com
The bed of natural stream channels can be composed of bedrock, fine-grained alluvium, or a
coarse-grained gravel pavement. Alluvial channels are characterized by one of two types of …
coarse-grained gravel pavement. Alluvial channels are characterized by one of two types of …
Geant4 developments and applications
…, A Heikkinen, I Hrivnacova, A Howard… - … on nuclear science, 2006 - ieeexplore.ieee.org
Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is
used by a large number of experiments and projects in a variety of application domains, …
used by a large number of experiments and projects in a variety of application domains, …
Mobilenetv2: Inverted residuals and linear bottlenecks
In this paper we describe a new mobile architecture, mbox {MobileNetV2}, that improves the
state of the art performance of mobile models on multiple tasks and benchmarks as well as …
state of the art performance of mobile models on multiple tasks and benchmarks as well as …
[HTML][HTML] Recent developments in Geant4
…, S Guatelli, P Guèye, P Gumplinger, AS Howard… - Nuclear instruments and …, 2016 - Elsevier
Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is
used by a large number of experiments and projects in a variety of application domains, …
used by a large number of experiments and projects in a variety of application domains, …
Design and use paradigms for gazebo, an open-source multi-robot simulator
N Koenig, A Howard - … on intelligent robots and systems (IROS) …, 2004 - ieeexplore.ieee.org
Simulators have played a critical role in robotics research as tools for quick and efficient
testing of new concepts, strategies, and algorithms. To date, most simulators have been …
testing of new concepts, strategies, and algorithms. To date, most simulators have been …
Mobilenets: Efficient convolutional neural networks for mobile vision applications
We present a class of efficient models called MobileNets for mobile and embedded vision
applications. MobileNets are based on a streamlined architecture that uses depth-wise …
applications. MobileNets are based on a streamlined architecture that uses depth-wise …
Searching for mobilenetv3
We present the next generation of MobileNets based on a combination of complementary
search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile …
search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile …
Mnasnet: Platform-aware neural architecture search for mobile
Designing convolutional neural networks (CNN) for mobile devices is challenging because
mobile models need to be small and fast, yet still accurate. Although significant efforts have …
mobile models need to be small and fast, yet still accurate. Although significant efforts have …
Quantization and training of neural networks for efficient integer-arithmetic-only inference
The rising popularity of intelligent mobile devices and the daunting computational cost of
deep learning-based visual recognition models call for efficient on-device inference schemes. …
deep learning-based visual recognition models call for efficient on-device inference schemes. …
Early intensive care unit mobility therapy in the treatment of acute respiratory failure
…, S Baker, M Sanchez, L Penley, A Howard… - Critical care …, 2008 - journals.lww.com
Objective: Immobilization and subsequent weakness are consequences of critical illness.
Despite the theoretical advantages of physical therapy to address this problem, it has not been …
Despite the theoretical advantages of physical therapy to address this problem, it has not been …
