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Zifan Rong, Xuesong Jiang, Linfeng Huang and Hongping Zhou
Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs...
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Fangping Xu, Jun Chen and Jianyong Zhu
Insufficient color feature extraction can lead to poor prediction performance in rare earth element composition estimation. To address this issue, we propose a one-dimensional convolutional method for predicting rare earth element composition. First, ima...
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Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Muhammad Usman and Jeong-A Lee
Automatic modulation classification (AMC) is a vital process in wireless communication systems that is fundamentally a classification problem. It is employed to automatically determine the type of modulation of a received signal. Deep learning (DL) metho...
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Yuantao Chen, Jin Wang, Xi Chen, Arun Kumar Sangaiah, Kai Yang and Zhouhong Cao
For the image super-resolution method from a single channel, it is difficult to achieve both fast convergence and high-quality texture restoration. By mitigating the weaknesses of existing methods, the present paper proposes an image super-resolution alg...
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Jianwu Lin, Xiaoyulong Chen, Renyong Pan, Tengbao Cao, Jitong Cai, Yang Chen, Xishun Peng, Tomislav Cernava and Xin Zhang
Most convolutional neural network (CNN) models have various difficulties in identifying crop diseases owing to morphological and physiological changes in crop tissues, and cells. Furthermore, a single crop disease can show different symptoms. Usually, th...
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Tamara Alshaikhli, Wen Liu and Yoshihisa Maruyama
The extraction of roads and centerlines from aerial imagery is considered an important topic because it contributes to different fields, such as urban planning, transportation engineering, and disaster mitigation. Many researchers have studied this topic...
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Juyong Park and Jongpil Jeong
Wafer chips are manufactured in the semiconductor industry through various process technologies. Photolithography is one of these processes, aligning the wafer and scanning the circuit pattern on the wafer on which the photoresist film is formed by irrad...
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Long Li, Gaochao Xu, Peng Liu, Yang Li and Jiaqi Ge
With the rapid popularity of mobile devices (MDs), mobile edge computing (MEC) networks and wireless power transmission (WPT) will receive more attention. Naturally, by integrating these two technologies, the inherent energy consumption during task execu...
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Hexin Lu, Xiaodong Zhu, Jingwei Cui and Haifeng Jiang
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and ...
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Xiaoli Liu and Xiaorong Cheng
To address the problem of a low accuracy and blurred boundaries in segmenting multimodal brain tumor images using the TransBTS network, a 3D BCS_T model incorporating a channel space attention mechanism is proposed. Firstly, the TransBTS model hierarchy ...
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Zeju Wu, Yang Ji, Lijun Song and Jianyuan Sun
To solve the problems of underwater image color deviation, low contrast, and blurred details, an algorithm based on color correction and detail enhancement is proposed. First, the improved nonlocal means denoising algorithm is used to denoise the underwa...
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Sunveg Nalwar, Kunal Shah, Ranjeet Vasant Bidwe, Bhushan Zope, Deepak Mane, Veena Jadhav and Kailash Shaw
Clouds play a vital role in Earth?s water cycle and the energy balance of the climate system; understanding them and their composition is crucial in comprehending the Earth?atmosphere system. The dataset ?Understanding Clouds from Satellite Images? conta...
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Luis Diego Méndez-Mejías,Róger Moya,Mariajosé Esquivel-Fuentes,Estephanía Salazar-Zeledón
Pág. 5 - 15
A composite between particles obtained residual pallets of Pinus sp and cement was manufactured. Also, three methods were performance for wood particles: hot water washed, unwashed and unwashed with calcium carbonate (CaCO3). Different concrete-wood part...
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?.V. Strashnov,M.V. Mikhaylyuk
Pág. 39 - 45
The paper considers the task of virtual robotic manipulator control with force feedback in virtual environment systems. To solve it, an approach is proposed in which the robot force control is based on the readings of virtual force sensors and the method...
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Jun Sun, Xiaofei He, Xiao Ge, Xiaohong Wu, Jifeng Shen and Yingying Song
In the current natural environment, due to the complexity of the background and the high similarity of the color between immature green tomatoes and the plant, the occlusion of the key organs (flower and fruit) by the leaves and stems will lead to low re...
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Yun Zhang, Shenggen Cao, Lixin Lan, Rui Gao and Hao Yan
In order to effectively recover the residual coal resources, such as coal pillars and irregular coal blocks induced by large-scale extensive mining, in this study, we proposed a shortwall block mining (SBM) technology and examined the development pattern...
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Prof. S. K. Paknikar
The invention of Compacted Graphite Iron and documentation of Compacted Graphite Iron (C.G.I.) were made during pioneering research on production techniques in the late 1940s. They found that when the residual magnesium or cerium content was insufficient...
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Jiafeng Zhang, Guangli Cheng, Jinsong Tang, Haoran Wu and Zhen Tian
Uncompensated motion errors can seriously affect the imaging quality of synthetic aperture sonars (SASs). In the existing line-by-line motion compensation (MOCO) algorithms for wide-beam multiple-receiver SAS systems, the approximate form of the range hi...
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Fang Ji, Junshuai Ni, Guonan Li, Liming Liu and Yuyang Wang
Underwater acoustic target recognition methods based on time-frequency analysis have shortcomings, such as missing information on target characteristics and having a large computation volume, which leads to difficulties in improving the accuracy and imme...
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Armando Levid Rodríguez-Santiago, José Aníbal Arias-Aguilar, Hiroshi Takemura and Alberto Elías Petrilli-Barceló
In this paper, an approach through a Deep Learning architecture for the three-dimensional reconstruction of outdoor environments in challenging terrain conditions is presented. The architecture proposed is configured as an Autoencoder. However, instead o...
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