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Wenjun Zhou, Xinling Yang, Chenglin Zuo, Yifan Wang and Bo Peng
To address the issue of blurred images generated during ice wind tunnel tests, we propose a high-resolution dense-connection GAN model, named Dense-HR-GAN. This issue is caused by attenuation due to scattering and absorption when light passes through clo...
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Shengping Wen, Yue Yuan and Jingfu Chen
The preliminary sorting of plastic products is a necessary step to improve the utilization of waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme based on deep learning is proposed in this paper for a waste plast...
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Elena Martínez-Fernandez, Ignacio Rojas-Valenzuela, Olga Valenzuela and Ignacio Rojas
The diagnosis of different pathologies and stages of cancer using whole histopathology slide images (WSI) is the gold standard for determining the degree of tissue metastasis. The use of deep learning systems in the field of medical images, especially hi...
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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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Zahid Ullah, Najah Alsubaie, Mona Jamjoom, Samah H. Alajmani and Farrukh Saleem
As tomatoes are the most consumed vegetable in the world, production should be increased to fulfill the vast demand for this vegetable. Global warming, climate changes, and other significant factors, including pests, badly affect tomato plants and cause ...
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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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Neofytos Dimitriou and Ognjen Arandjelovic
Normalization as a layer within neural networks has over the years demonstrated its effectiveness in neural network optimization across a wide range of different tasks, with one of the most successful approaches being that of batch normalization. The con...
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Sergei Strijhak, Daniil Ryazanov, Konstantin Koshelev and Aleksandr Ivanov
In this article the procedure and method for the ice accretion prediction for different airfoils using artificial neural networks (ANNs) are discussed. A dataset for the neural network is based on the numerical experiment results?obtained through iceFoam...
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Athita Onuean, Uraiwan Buatoom, Thatsanee Charoenporn, Taehong Kim and Hanmin Jung
In handwriting recognition research, a public image dataset is necessary to evaluate algorithm correctness and runtime performance. Unfortunately, in existing Thai language script image datasets, there is a lack of variety of standard handwriting types. ...
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Weiwei Zhang, Xin Ma, Yuzhao Zhang, Ming Ji and Chenghui Zhen
Due to the arbitrariness of the drone?s shooting angle of view and camera movement and the limited computing power of the drone platform, pedestrian detection in the drone scene poses a greater challenge. This paper proposes a new convolutional neural ne...
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