Efficient processing of deep neural networks: A tutorial and survey
Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI)
applications including computer vision, speech recognition, and robotics. While DNNs deliver …
applications including computer vision, speech recognition, and robotics. While DNNs deliver …
[HTML][HTML] Comprehensive Survey of Genetic Diversity in Chloroplast Genomes and 45S nrDNAs within Panax ginseng Species
We report complete sequences of chloroplast (cp) genome and 45S nuclear ribosomal DNA
(45S nrDNA) for 11 Panax ginseng cultivars. We have obtained complete sequences of cp …
(45S nrDNA) for 11 Panax ginseng cultivars. We have obtained complete sequences of cp …
Review of data fusion methods for real-time and multi-sensor traffic flow analysis
…, BAS Al-Rimy, MFM Fudzee, TJ Yang - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of various
kinds of data in real-time and from multiple sources, which imposes additional research …
kinds of data in real-time and from multiple sources, which imposes additional research …
[HTML][HTML] The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes
…, TJ Yang, Q Hu, X Wang, Z Yue, H Li, L Yang… - Nature …, 2014 - nature.com
Polyploidization has provided much genetic variation for plant adaptive evolution, but the
mechanisms by which the molecular evolution of polyploid genomes establishes genetic …
mechanisms by which the molecular evolution of polyploid genomes establishes genetic …
Designing energy-efficient convolutional neural networks using energy-aware pruning
Deep convolutional neural networks (CNNs) are indispensable to state-of-the-art computer
vision algorithms. However, they are still rarely deployed on battery-powered mobile devices, …
vision algorithms. However, they are still rarely deployed on battery-powered mobile devices, …
Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices
A recent trend in deep neural network (DNN) development is to extend the reach of deep
learning applications to platforms that are more resource and energy-constrained, eg, mobile …
learning applications to platforms that are more resource and energy-constrained, eg, mobile …
Netadapt: Platform-aware neural network adaptation for mobile applications
This work proposes an algorithm, called NetAdapt, that automatically adapts a pre-trained
deep neural network to a mobile platform given a resource budget. While many existing …
deep neural network to a mobile platform given a resource budget. While many existing …
Estimating survival in patients with lung cancer and brain metastases: an update of the graded prognostic assessment for lung cancer using molecular markers (Lung …
Importance Lung cancer is the leading cause of cancer-related mortality in the United States
and worldwide. As systemic therapies improve, patients with lung cancer live longer and …
and worldwide. As systemic therapies improve, patients with lung cancer live longer and …
[PDF][PDF] Management of brain metastases in tyrosine kinase inhibitor-naïve epidermal growth factor receptor-mutant non-small-cell lung cancer: a retrospective multi …
Purpose Stereotactic radiosurgery (SRS), whole-brain radiotherapy (WBRT), and epidermal
growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are treatment options for …
growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are treatment options for …
Morphnet: Fast & simple resource-constrained structure learning of deep networks
We present MorphNet, an approach to automate the design of neural network structures.
MorphNet iteratively shrinks and expands a network, shrinking via a resource-weighted …
MorphNet iteratively shrinks and expands a network, shrinking via a resource-weighted …