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Xing Yi, Hao Pan, Huaici Zhao, Pengfei Liu, Canyu Zhang, Junpeng Wang and Hao Wang
Image generation technology is currently one of the popular directions in computer vision research, especially regarding infrared imaging, bearing critical applications in the military field. Existing algorithms for generating infrared images from visibl...
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Xiangpeng Fan and Zhibin Guan
The automatic recognition of crop diseases based on visual perception algorithms is one of the important research directions in the current prevention and control of crop diseases. However, there are two issues to be addressed in corn disease identificat...
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Mahsa Yousefi and Ángeles Martínez
While first-order methods are popular for solving optimization problems arising in deep learning, they come with some acute deficiencies. To overcome these shortcomings, there has been recent interest in introducing second-order information through quasi...
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Xuebin Xu, Chen Chen, Kan Meng, Longbin Lu, Xiaorui Cheng and Haichao Fan
Sleep, as the basis for regular body functioning, can affect human health. Poor sleep conditions can lead to various physical ailments, such as poor immunity, memory loss, slow cognitive development, and cardiovascular diseases. Along the increasing stre...
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Igor ?ivkovic, Jan Gacnik, Slaven Jozic, Jo?e Kotnik, Mladen ?olic and Milena Horvat
Wet deposition is the main source of mercury (Hg) from the atmosphere to the Earth?s surface. However, the processes that govern the dispersion of deposited Hg in seawater are currently not well understood. To address this issue, total mercury (THg) conc...
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Elena D?Amato, Constantino Carlos Reyes-Aldasoro, Arianna Consiglio, Gabriele D?Amato, Maria Felicia Faienza and Marcella Zollino
This work describes a non-invasive, automated software framework to discriminate between individuals with a genetic disorder, Pitt?Hopkins syndrome (PTHS), and healthy individuals through the identification of morphological facial features. The input dat...
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Atallah AL-Shatnawi,Faisal Al-Saqqar,Safa?a Alhusban
Pág. pp. 20 - 34
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In...
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Wei Huang, Jingjing Feng, Hua Wang and Le Sun
In this paper, we propose a new architecture of densely connected convolutional networks for pan-sharpening (DCCNP). Since the traditional convolution neural network (CNN) has difficulty handling the lack of a training sample set in the field of remote s...
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Sabrina Hempel, Julian Adolphs, Niels Landwehr, Dilya Willink, David Janke and Thomas Amon
A reliable quantification of greenhouse gas emissions is a basis for the development of adequate mitigation measures. Protocols for emission measurements and data analysis approaches to extrapolate to accurate annual emission values are a substantial pre...
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Lifei Wei, Ziran Yuan, Yanfei Zhong, Lanfang Yang, Xin Hu and Yangxi Zhang
Hyperspectral remote sensing can be used to effectively identify contaminated elements in soil. However, in the field of monitoring soil heavy metal pollution, hyperspectral remote sensing has the characteristics of high dimensionality and high redundanc...
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