Xiaodan Wang^*, Peng Wang, Yafei Song, Qian Xiang, Jingtai Li

Computer Systems Science and Engineering, Vol.48, No.1, pp. 217-246, 2024, DOI:10.32604/csse.2023.039846

Abstract High-resolution range profile (HRRP) automatic recognition has been widely applied to military and civilian domains. Present HRRP recognition methods have difficulty extracting deep and global information about the HRRP sequence, which performs poorly in real scenes due to the ambient noise, variant targets, and limited data. Moreover, most existing methods improve the recognition performance by stacking a large number of modules, but ignore the lightweight of methods, resulting in over-parameterization and complex computational effort, which will be challenging to meet the deployment and application on edge devices. To tackle the above problems, this paper proposes an HRRP sequence recognition method… More >

Shaohua Li, Haixiang Zhang^*, Hanjie Ma, Jie Feng, Mingfeng Jiang

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3379-3392, 2023, DOI:10.32604/cmc.2023.041538

Abstract Scale variation is a major challenge in multi-person pose estimation. In scenes where persons are present at various distances, models tend to perform better on larger-scale persons, while the performance for smaller-scale persons often falls short of expectations. Therefore, effectively balancing the persons of different scales poses a significant challenge. So this paper proposes a new multi-person pose estimation model called FSA Net to improve the model’s performance in complex scenes. Our model utilizes High-Resolution Network (HRNet) as the backbone and feeds the outputs of the last stage’s four branches into the DCB module. The dilated convolution-based (DCB) module employs… More >

Wangxin Yu^1,*, XiaoLiang Wang¹, Qingquan Liu¹, Huaning Wang²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09825

Abstract Landslide, debris flow and other large-scale natural disasters have a great threat to human life and property safety. The accuracy of prediction and calculation of large-scale disasters still needs great improvement, so as the study of prevention and interaction. In this paper, the depth-integrated shallow water flow model is adopted, and the numerical method of Kurganov developed in recent years is used to develop a highresolution algorithm which can capture shock waves and satisfy the hydrodynamic conditions. In order to make it adapt to the granular flow, appropriate adjustment is made distinct from the original aerodynamic problem, and it can… More >

Dengyong Zhang^1,2, Huaijian Pu^1,2, Feng Li^1,2,*, Xiangling Ding³, Victor S. Sheng⁴

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3439-3454, 2023, DOI:10.32604/cmc.2023.027267

Abstract Now object detection based on deep learning tries different strategies. It uses fewer data training networks to achieve the effect of large dataset training. However, the existing methods usually do not achieve the balance between network parameters and training data. It makes the information provided by a small amount of picture data insufficient to optimize model parameters, resulting in unsatisfactory detection results. To improve the accuracy of few shot object detection, this paper proposes a network based on the transformer and high-resolution feature extraction (THR). High-resolution feature extraction maintains the resolution representation of the image. Channels and spatial attention are… More >

Rami Sameer Ahmad Al Kloub^*

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2801-2820, 2022, DOI:10.32604/cmc.2022.027847

Abstract Mainland China has a poor distribution of meteorological stations. Existing models’ estimation accuracy for creating high-resolution surfaces of meteorological data is restricted for air temperature, and low for relative humidity and wind speed (few studies reported). This study compared the typical generalized additive model (GAM) and autoencoder-based residual neural network (hereafter, residual network for short) in terms of predicting three meteorological parameters, namely air temperature, relative humidity, and wind speed, using data from 824 monitoring stations across China’s mainland in 2015. The performance of the two models was assessed using a 10-fold cross-validation procedure. The air temperature models employ basic… More >

Zhenzhou Wang¹, Shao Cui¹, Xiang Wang^1,*, JiaFeng Tian²

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4709-4725, 2022, DOI:10.32604/cmc.2022.027767

Abstract To generate realistic three-dimensional animation of virtual character, capturing real facial expression is the primary task. Due to diverse facial expressions and complex background, facial landmarks recognized by existing strategies have the problem of deviations and low accuracy. Therefore, a method for facial expression capture based on two-stage neural network is proposed in this paper which takes advantage of improved multi-task cascaded convolutional networks (MTCNN) and high-resolution network. Firstly, the convolution operation of traditional MTCNN is improved. The face information in the input image is quickly filtered by feature fusion in the first stage and Octave Convolution instead of the… More >

Zhigang Shang^1,2, Yongzhe Zhu³, Xinmei Guo^1,2, Meiai Zhao^1,4,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1711-1725, 2021, DOI:10.32604/phyton.2021.015048

Abstract The development of next generation sequencing (NGS) and high throughput genotyping are important techniques for the QTL mapping and genetic analysis of different crops. High-resolution melting (HRM) is an emerging technology used for detecting single-nucleotide polymorphisms (SNPs) in various species. However, its use is still limited in maize. The HRM analysis was integrated with SNPs to identify three types of populations (NIL population, RIL population and natural population), and the useful tags were screened. The patterns of temperature-shifted melting curves were investigated from the HRM analysis, and compared these with the kit. Among all 48 pairs of primers, 10 pairs… More >

MARLENE BENCHIMOL^1,3,*, ABIGAIL MIRANDA-MAGALHÃES², ANTONIO PEREIRA-NEVES², WANDERLEY DE SOUZA³

BIOCELL, Vol.45, No.2, pp. 259-266, 2021, DOI:10.32604/biocell.2021.014599

Abstract Helium ion scanning microscopy (HIM) is a novel high-resolution scanning microscopy technique that uses helium ions instead of electrons to form images of the highest quality and resolution, providing a sub-nanometer resolution sputter uncoated biological cell. Here, we took advantage of HIM to explore the cell surface of Tritrichomonas foetus, a protist parasite of cattle that provokes hard infection and abortion in cows. We describe thin protrusions, like nanotubes described in other cells, with different sizes (27 nm to 81 nm in thickness) and various lengths (from 73 nm to 2 µm), as well bulbous structures either budding from the… More >

Murad Awad¹, Photini V. Mylona², Alexios N. Polidoros^1,*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 905-923, 2020, DOI:10.32604/phyton.2020.011235

Abstract Discrimination among grapevine varieties based on quantitative traits, such as flowering, veraison and ripening dates is crucial for variety selection in the context of climate change and in breeding programs. These traits are under complex genetic control for which 6 linked SSR loci (VVS2, VVIn16, VMC7G3, VrZAG29, VMC5G7, and VVIB23) have been identified. Using these markers in HRM-PCR analysis, we assessed genetic diversity among a large collection of 192 grapevine varieties. The grapevine germplasm used encompasses the majority of Greek vineyard with 181 varieties, 3 prominent foreign varieties and 11 varieties of Palestinian origin. The SSR markers used were highly… More >

M. Chang^1,2,3, Y. C. Chou^1,2, P. T. Lin^1,2, J. L. Gabayno^2,4

CMC-Computers, Materials & Continua, Vol.42, No.2, pp. 125-140, 2014, DOI:10.3970/cmc.2014.042.125

Abstract Automated optical inspection systems installed in production lines help ensure high throughput by speeding up inspection of defects that are otherwise difficult to detect using the naked eye. However, depending on the size and surface properties of the products such as micro-cracks on touchscreen panels glass cover, the detection speed and accuracy are limited by the imaging module and lighting technique. Therefore the current inspection methods are still delegated to a few qualified personnel whose limited capacity has been a huge tradeoff for high volume production. In this study, an automated optical technology for in-line surface defect inspection is developed… More >