At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Recent progress in blue energy harvesting for powering distributed sensors in ocean
Oceanography has received a lot of attention in the 21st century. Due to the harsh and
complex ocean conditions, ensuring power supply to the distributed marine equipment has …
complex ocean conditions, ensuring power supply to the distributed marine equipment has …
Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks
P Jiang, Y Chen, B Liu, D He, C Liang - Ieee Access, 2019 - ieeexplore.ieee.org
Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple
leaf diseases that severely affect apple yield. However, the existing research lacks an …
leaf diseases that severely affect apple yield. However, the existing research lacks an …
Nas-unet: Neural architecture search for medical image segmentation
Y Weng, T Zhou, Y Li, X Qiu - IEEE access, 2019 - ieeexplore.ieee.org
Neural architecture search (NAS) has significant progress in improving the accuracy of
image classification. Recently, some works attempt to extend NAS to image segmentation …
image classification. Recently, some works attempt to extend NAS to image segmentation …
An experimental-based review of image enhancement and image restoration methods for underwater imaging
Underwater images play a key role in ocean exploration but often suffer from severe quality
degradation due to light absorption and scattering in water medium. Although major …
degradation due to light absorption and scattering in water medium. Although major …
A survey of sentiment analysis based on transfer learning
R Liu, Y Shi, C Ji, M Jia - IEEE access, 2019 - ieeexplore.ieee.org
With the rapid development of the Internet industry, sentiment analysis has grown into one of
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …
SCCGAN: style and characters inpainting based on CGAN
R Liu, X Wang, H Lu, Z Wu, Q Fan, S Li… - Mobile networks and …, 2021 - Springer
With the development of deep learning technology, many deep learning methods have been
applied to font recognition and generation. However, few studies focus on font inpainting …
applied to font recognition and generation. However, few studies focus on font inpainting …
Breaking the Responsivity‐Bandwidth Trade‐Off Limit in GaN Photoelectrodes for High‐Response and Fast‐Speed Optical Communication Application
Underwater optical communication (UOC) has attracted considerable interest in the
continuous expansion of human activities in marine/ocean environments. The water‐durable …
continuous expansion of human activities in marine/ocean environments. The water‐durable …
Underwater image enhancement with a deep residual framework
Owing to refraction, absorption, and scattering of light by suspended particles in water, raw
underwater images have low contrast, blurred details, and color distortion. These …
underwater images have low contrast, blurred details, and color distortion. These …
AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network
The extensive computational burden limits the usage of convolutional neural networks
(CNNs) in edge devices for image semantic segmentation, which plays a significant role in …
(CNNs) in edge devices for image semantic segmentation, which plays a significant role in …