A Ramcharan, P McCloskey, K Baranowski… - Frontiers in plant …, 2019 - frontiersin.org
… If mobile CNN models are to achieve their promise it is … mobiledevices in conditions they are intended to be used in. Here, we investigate plant disease diagnostics on a mobiledevice. …
T Tan, G Cao - Proceedings of the 20th International Conference on …, 2021 - dl.acm.org
… DNN models trained by deeplearning frameworks such as Caffe [23] or Tensorflow. To run the partitioned DNN models on CPU, we use the Caffe deeplearning framework. Since the …
E Li, Z Zhou, X Chen - Proceedings of the 2018 workshop on mobile …, 2018 - dl.acm.org
… The available bandwidth between the edge server and the mobiledevice is controlled by the WonderShaper [10] tool. As for the deeplearning framework, we choose Chainer [11] that …
O Valery, P Liu, JJ Wu - 2018 26th Euromicro International …, 2018 - ieeexplore.ieee.org
… First, we present a set of parallel processing optimizations to accelerate deeplearning computation on mobiledevices. Second, our framework addresses three issues on …
… Deeplearning techniques have shown great potential in image … of deeplearning architectures targeting mobiledevices like … disease which might run on mobiledevices is proposed. …
… This upsurge of mobiledevices, applications and services has raised important cybersecurity challenges due to the exponential increase of attacks and their sophistication [2], [3]. On …
… learning, based on manuallyand expert-originated features, outdated. For these reasons, we suggest DeepLearning … extracted features, reflecting the complex mobile-traffic patterns. To …
Y Huang, H Hu, C Chen - 2021 IEEE/ACM 43rd International …, 2021 - ieeexplore.ieee.org
… In practice, deeplearning model inference can be offloaded to the cloud or executed on mobiledevices. The cloud-based deeplearning model requires mobiledevices to send data to …
… localization platform on mobiledevices. Additionally, data security has become increasingly important, especially in medical applications on mobiledevices. Deeplearning-based …