|
|
|
|
|
Emily Talen
While scale is an essential factor in discussions about sustainable cities, there is no common understanding of what scale is or how it should be measured. This paper sheds light on the issue of scale by suggesting how it might be measured and evaluated....
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiyuan Tan, Limin Zhang and Zhaogen Zhong
Aiming to solve the problem of the distinction of scrambled linear block codes, a method for identifying the scrambling types of linear block codes by combining correlation features and convolution long short-term memory neural networks is proposed in th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdorreza Alavigharahbagh, Vahid Hajihashemi, José J. M. Machado and João Manuel R. S. Tavares
In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors and de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Feng Peng and Kai Li
Most existing deep image clustering methods use only class-level representations for clustering. However, the class-level representation alone is not sufficient to describe the differences between images belonging to the same cluster. This may lead to hi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaohu Zhang and Haifeng Huang
Crack detection is an important task for road maintenance. Currently, convolutional neural-network-based segmentation models with attention blocks have achieved promising results, for the reason that these models can avoid the interference of lights and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Siming Yin, Xian Guo and Jie Jiang
Accurate extraction of urban landscape features in the historic district of China is an essential task for the protection of the cultural and historical heritage. In recent years, deep learning (DL)-based methods have made substantial progress in landsca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, Mazin Abed Mohammed, Habibollah Haron, Nechirvan Asaad Zebari, Robertas Dama?evicius and Rytis Maskeliunas
Breast cancer detection using mammogram images at an early stage is an important step in disease diagnostics. We propose a new method for the classification of benign or malignant breast cancer from mammogram images. Hybrid thresholding and the machine l...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shubin Wang, Yuanyuan Chen and Zhang Yi
Diabetic retinopathy is a prevalent eye disease that poses a potential risk of blindness. Nevertheless, due to the small size of diabetic retinopathy lesions and the high interclass similarity in terms of location, color, and shape among different lesion...
ver más
|
|
|
|
|
|
|
|
|
|
|
Li Zou and Haowen Cheng
Wind turbine blades are easily affected by the working environment and often show damage features such as cracks and surface shedding. An improved convolution neural network, ED Net, is proposed to identify their damage features. An EAC block based on th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Frederic M. Evers and Willi H. Hager
Slides generating impulse waves are currently generated using either block models or free granular material impacting a water body. These procedures were mainly developed to study plane impulse waves, i.e., wave generation in a rectangular channel. The c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shubin Wang, Yuanyuan Chen and Zhang Yi
The structure and function of retinal vessels play a crucial role in diagnosing and treating various ocular and systemic diseases. Therefore, the accurate segmentation of retinal vessels is of paramount importance to assist a clinical diagnosis. U-Net ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huiwen Ji, Min Xia, Dongsheng Zhang and Haifeng Lin
Cloud and cloud shadow detection are essential in remote sensing imagery applications. Few semantic segmentation models were designed specifically for clouds and their shadows. Based on the visual and distribution characteristics of clouds and their shad...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wende Li, Haowen Yan, Xiaomin Lu and Yilang Shen
Building displacement is a common operation to resolve the spatial conflicts between map features, and it has important theoretical value and practical application significance for multi-scale mapping. The prerequisite for a successful displacement opera...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chuanyun Wang, Linlin Meng, Qian Gao, Jingjing Wang, Tian Wang, Xiaona Liu, Furui Du, Linlin Wang and Ershen Wang
Aiming at the problems of low detection accuracy and large computing resource consumption of existing Unmanned Aerial Vehicle (UAV) detection algorithms for anti-UAV, this paper proposes a lightweight UAV swarm detection method based on You Only Look Onc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aolun Li, Long Yu and Shengwei Tian
Due to the influence of underwater visual characteristics on the observation of underwater creatures, the traditional object detection algorithm is ineffective. In order to improve the robustness of underwater biological detection, based on the YOLOv4 de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheng Liu, Yaoming Zhuang, Pengrun Jia, Chengdong Wu, Hongli Xu and Zhanlin Liu
For aquaculture resource evaluation and ecological environment monitoring, the automatic detection and identification of marine organisms is critical; however, due to the low quality of underwater images and the characteristics of underwater biological d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xu Zhang, Cheng Xiao and Tieling Zhang
Wind energy is one of the most important renewable energy sources in the world. Accurate wind power prediction is of great significance for achieving reliable and economical power system operation and control. For this purpose, this paper is focused on w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yepeng Cheng, Zuren Liu and Yasuhiko Morimoto
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated causa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hengfu Yang, Jianping Yin and Mingfang Jiang
Robustness and discriminability are the two most important features of perceptual image hashing (PIH) schemes. In order to achieve a good balance between perceptual robustness and discriminability, a novel PIH algorithm is proposed by combining latent lo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Asuman Günay,Vasif V. Nabiyev
Pág. 108 - 115
This paper introduces a novel age estimation method using a new texture descriptor Weber Local Descriptor (WLD). This texture descriptor is analyzed in depth for age estimation problem. In the study, the multi-scale versions of holistic an...
ver más
|
|
|
|
|
|