Generic image application using GANs (Generative Adversarial Networks): A Review [0.03%]
基于生成对抗网络的通用图像应用：综述
S P Porkodi,V Sarada,Vivek Maik et al.
S P Porkodi et al.
The generative adversarial network (GAN), which has received considerable notice for its outstanding data generating abilities, is one of the most intriguing fields of artificial intelligence study. Large volumes of data are required to dev...
Chimp optimization algorithm in multilevel image thresholding and image clustering [0.03%]
基于多级图像阈值分割和图像聚类的灵长类动物优化算法研究
Zubayer Kabir Eisham,Md Monzurul Haque,Md Samiur Rahman et al.
Zubayer Kabir Eisham et al.
Multilevel image thresholding and image clustering, two extensively used image processing techniques, have sparked renewed interest in recent years due to their wide range of applications. The approach of yielding multiple threshold values ...
Tackling over-smoothing in multi-label image classification using graphical convolution neural network [0.03%]
基于图卷积神经网络的多标签图像分类方法研究过平滑问题
Vikas Chauhan,Aruna Tiwari,Boppudi Venkata et al.
Vikas Chauhan et al.
The importance of the graphical convolution network in multi-label classification has grown in recent years due to its label embedding representation capabilities. The graphical convolution network is able to capture the label dependencies ...
A novel normalization algorithm to facilitate pre-assessment of Covid-19 disease by improving accuracy of CNN and its FPGA implementation [0.03%]
一种新的归一化算法以提高CNN的准确性进而促进COVID-19疾病预评估及其FPGA实现
Sertaç Yaman,Barış Karakaya,Yavuz Erol
Sertaç Yaman
COVID-19 is still a fatal disease, which has threatened all people by affecting the human lungs. Chest X-Ray or computed tomography imaging is commonly used to make a fast and reliable medical investigation to detect the COVID-19 virus. The...
A survey on recent trends in deep learning for nucleus segmentation from histopathology images [0.03%]
基于病理图像的细胞核分割的深度学习最新趋势综述
Anusua Basu,Pradip Senapati,Mainak Deb et al.
Anusua Basu et al.
Nucleus segmentation is an imperative step in the qualitative study of imaging datasets, considered as an intricate task in histopathology image analysis. Segmenting a nucleus is an important part of diagnosing, staging, and grading cancer,...
Fuzzy PROMETHEE model for public transport mode choice analysis [0.03%]
基于模糊PROMETHEE模型的公共交通方式选择分析方法研究
Laila Oubahman,Szabolcs Duleba
Laila Oubahman
The importance of public transportation service quality research is significantly increasing in recent years, it is the key to understanding and analyzing passengers' preferences. Different approaches are utilized to explore users' preferen...
An efficient real-time stock prediction exploiting incremental learning and deep learning [0.03%]
一种利用增量学习和深度学习的高效实时股票预测方法
Tinku Singh,Riya Kalra,Suryanshi Mishra et al.
Tinku Singh et al.
Intraday trading is popular among traders due to its ability to leverage price fluctuations in a short timeframe. For traders, real-time price predictions for the next few minutes can be beneficial for making strategies. Real-time predictio...
PDRF-Net: a progressive dense residual fusion network for COVID-19 lung CT image segmentation [0.03%]
一种用于COVID-19肺部CT图像分割的渐进式密集残差融合网络(PDRF-Net)
Xiaoyan Lu,Yang Xu,Wenhao Yuan
Xiaoyan Lu
The lungs of patients with COVID-19 exhibit distinctive lesion features in chest CT images. Fast and accurate segmentation of lesion sites from CT images of patients' lungs is significant for the diagnosis and monitoring of COVID-19 patient...
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19 [0.03%]
用于诊断COVID-19的新对抗性多源迁移学习框架AMTLDC
Hadi Alhares,Jafar Tanha,Mohammad Ali Balafar
Hadi Alhares
In recent years, deep learning techniques have been widely used to diagnose diseases. However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient data, the model is not properly trained and as a result, the genera...
A novel interval type-2 fuzzy Kalman filtering and tracking of experimental data [0.03%]
一种新型区间二型模糊卡尔曼滤波及实验数据跟踪方法
Daiana Caroline Dos Santos Gomes,Ginalber Luiz de Oliveira Serra
Daiana Caroline Dos Santos Gomes
In this paper, a methodology for design of fuzzy Kalman filter, using interval type-2 fuzzy models, in discrete time domain, via spectral decomposition of experimental data, is proposed. The adopted methodology consists of recursive paramet...