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Liming Zhou, Chang Zheng, Haoxin Yan, Xianyu Zuo, Yang Liu, Baojun Qiao and Yong Yang
Recent years have seen rapid progress in target-detection missions, whereas small targets, dense target distribution, and shadow occlusion continue to hinder progress in the detection of small targets, such as cars, in remote sensing images. To address t...
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Dimitrios Noitsis, Georgia A. Beletsioti, Anastasios Valkanis, Konstantinos Kantelis, Georgios Papadimitriou and Petros Nicopolitidis
Traffic on backbone communication networks is growing significantly every year. This results in an increase in both energy consumption and the carbon footprint they leave on the environment. As a response, research efforts are focused on reducing energy ...
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Georgia Sakellari, Christina Morfopoulou and Erol Gelenbe
Energy saving in networks has traditionally focussed on reducing battery consumption through smart wireless network design. Recently, researchers have turned their attention to the energy cost and carbon emissions of the backbone network that both fixed ...
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Georgia Sakellari, Christina Morfopoulou and Erol Gelenbe
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Shigeo Urushidani, Kensuke Fukuda, Michihiro Koibuchi, Motonori Nakamura, Shunji Abe, Yusheng Ji, Michihiro Aoki and Shigeki Yamada
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Shigeo Urushidani, Kensuke Fukuda, Michihiro Koibuchi, Motonori Nakamura, Shunji Abe, Yusheng Ji, Michihiro Aoki and Shigeki Yamada
Dynamic resource control capabilities have become increasingly important for academic networks that must support big scientific research projects at the same time as less data intensive research and educational activities. This paper describes the dynami...
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Yanyi Chen, Xuhong Huang, Cunxin Zhu, Shengping Tang, Nan Zhao and Weihao Xiao
The appearance and meat quality of Penaeus vannamei are important indexes in the production process, and the quality of the product will be reduced if the defective shrimp is mixed in during processing. In order to solve this problem, a quality detection...
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Haijian Hu, Yicen Liu and Haina Rong
Detecting insulators on a power transmission line is of great importance for the safe operation of power systems. Aiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region-convolutio...
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Seung-Taek Kim and Hyo Jong Lee
The proposed lightweight hourglass network can be applied as an alternative to existing methods that use the hourglass model as a backbone network.
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Khalil Al-shqeerat
Pág. pp. 53 - 69
In Wireless Sensor Networks, no physical backbone infrastructure used while all sensor nodes are energy constrained and impractical to recharge. The behavior of networks becomes unstable once the first node dies. The key challenge in such networks is how...
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Yuntao Shi, Qi Luo, Meng Zhou, Wei Guo, Jie Li, Shuqin Li and Yu Ding
Objects thrown from tall buildings in communities are characterized by their small size, inconspicuous features, and high speed. Existing algorithms for detecting such objects face challenges, including excessive parameters, overly complex models that ar...
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Hongmei Zhang, Zhijie Li, Zishang Yang, Chenhui Zhu, Yinhai Ding, Pengchang Li and Xun He
Real-time knowledge of kernel breakage during corn harvesting plays a significant role in the adjustment of operational parameters of corn kernel harvesters. (1) Transfer learning by initializing the DenseNet121 network with pre-trained weights for train...
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Ziwei Tian, Jie Huang, Yang Yang and Weiying Nie
Aerial remote sensing image object detection, based on deep learning, is of great significance in geological resource exploration, urban traffic management, and military strategic information. To improve intractable problems in aerial remote sensing imag...
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Jiaying Liu, Rui Ding, Yu Chen, Wenhan Zhu, Ziwu Fan and Jingtian Ma
The plain river network area has a developed economy, a large population, a complex water system, and weak hydrodynamics. In order to improve the hydrodynamic conditions of the plain river network area, clean water sources are introduced through water re...
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Corrado Rametta and Giovanni Schembra
In the last decade, the differences in the information communication technology (ICT) infrastructures between urban and rural areas have registered a tremendous increase. ICT infrastructures could strongly help rural communities where many operations are...
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Corrado Rametta and Giovanni Schembra
In the last decade, the differences in the information communication technology (ICT) infrastructures between urban and rural areas have registered a tremendous increase. ICT infrastructures could strongly help rural communities where many operations are...
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Yane Li, Ying Wang, Dayu Xu, Jiaojiao Zhang and Jun Wen
The ?Kyoho? (Vitis labruscana) grape is one of the mainly fresh fruits; it is important to accurately segment the grape bunch and to detect its maturity level for the construction of an intelligent grape orchard. Grapes in the natural environment have di...
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Bin Li, Huazhong Lu, Xinyu Wei, Shixuan Guan, Zhenyu Zhang, Xingxing Zhou and Yizhi Luo
Accurate litchi identification is of great significance for orchard yield estimations. Litchi in natural scenes have large differences in scale and are occluded by leaves, reducing the accuracy of litchi detection models. Adopting traditional horizontal ...
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Chenglin Wang, Qiyu Han, Jianian Li, Chunjiang Li and Xiangjun Zou
Blueberry is among the fruits with high economic gains for orchard farmers. Identification of blueberry fruits with different maturities has economic significance to help orchard farmers plan pesticide application, estimate yield, and conduct harvest ope...
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Haiyang Yao, Tian Gao, Yong Wang, Haiyan Wang and Xiao Chen
To overcome the challenges of inadequate representation and ineffective information exchange stemming from feature homogenization in underwater acoustic target recognition, we introduce a hybrid network named Mobile_ViT, which synergizes MobileNet and Tr...
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