|
|
|
|
|
Xiaolei Liu, Kan Wang, Yuru He, Yang Ming and Hao Wang
To extend initial ignition-related fire prevention in ship engine room, this work presents a case study of marine diesel leakage for identifying accidental ignition by hot surface. Based on a self-designed experimental platform, a full-scale innovative e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chao Xu, Yuting Wang, Huidong Yang, Yuqing Tang, Xincheng Liu, Buchun Liu, Xinlong Hu and Zhongdong Hu
High temperatures significantly injure the flowering, pollination, fruit growth, and quality of plants. Photosynthesis, the fundamental process supporting plant life, is crucial. Nevertheless, the quantitative evaluation of the physiological activity of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rong Wang, Yonghui Zhang and Yulu Zhang
The absorption and scattering of light in water usually result in the degradation of underwater image quality, such as color distortion and low contrast. Additionally, the performance of acquisition devices may limit the spatial resolution of underwater ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Katell Crépon, Marine Cabacos, Félix Bonduelle, Faten Ammari, Marlène Faure and Séverine Maudemain
To reduce the use of insecticides, silo operators are reconsidering their practices and implementing integrated pest management (IPM) to manage insect infestations. IPM requires the early detection of insects to react before infestation spread or to isol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nader Ekramirad, Alfadhl Y. Khaled, Kevin D. Donohue, Raul T. Villanueva and Akinbode A. Adedeji
Codling moth (CM) is a major apple pest. Current manual method of detection is not very effective. The development of nondestructive monitoring and detection methods has the potential to reduce postharvest losses from CM infestation. Previous work from o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingqing Hong, Xinyi Zhong, Weitong Chen, Zhenghua Zhang and Bin Li
Hyperspectral images (HSIs) are pivotal in various fields due to their rich spectral?spatial information. While convolutional neural networks (CNNs) have notably enhanced HSI classification, they often generate redundant spatial features. To address this...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Zhong, Xueyuan Chu, Jiawei Qian, Jianlong Li and Zhengguo Sun
With the rapid development of China?s industrialization and urbanization, the problem of heavy metal pollution in soil has become increasingly prominent, seriously threatening the safety of the ecosystem and human health. The development of hyperspectral...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei-Ling Hsu, Teen-Hang Meen, Hsi-Chi Yang and Wen-Der Yu
|
|
|
|
|
|
|
|
|
|
|
Ming-Hung Chang, Yi-Chao Wu, Hsi-Yu Niu, Yi-Ting Chen and Shu-Han Juang
Since the fall was often occurred in elders daily, this paper focused on gait analysis with fall detection to develop a wearable device. To ensure that the mobile application, APP, could be used in different platform of mobile phone, such Android or iOS,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jun Wu, Xinyi Sun, Lei Qu, Xilan Tian and Guangyu Yang
Recently, deep learning tools have made significant progress in hyperspectral image (HSI) classification. Most of existing methods implement a patch-based classification manner which may cause training test information leakage or waste labeled informatio...
ver más
|
|
|
|
|
|