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Jun Tie, Weibo Wu, Lu Zheng, Lifeng Wu and Ting Chen
When aiming at the problems such as missed detection or misdetection of recognizing green walnuts in the natural environment directly by using target detection algorithms, a method is proposed based on improved UNet3+ for green walnut image segmentation,...
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Wencong Xu, Hongyi Lu, Lei Zhao and Borui He
In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer ...
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Jinxiong Gao, Xu Geng, Yonghui Zhang and Jingbo Wang
Underwater autonomous path planning is a critical component of intelligent underwater vehicle system design, especially for maritime conservation and monitoring missions. Effective path planning for these robots necessitates considering various constrain...
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José Brás, Ruben Pereira and Sérgio Moro
Robotic process automation and intelligent process automation have gained a foothold in the automation of business processes, using blocks of software (bots). These agents interact with systems through interfaces, replacing human intervention with the ai...
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Yanmin Lei, Dong Pan, Zhibin Feng and Junru Qian
With the development of deep learning technology, more and more researchers are interested in ear recognition. Human ear recognition is a biometric identification technology based on human ear feature information and it is often used for authentication a...
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Yue Liu, Yang Xiao, Tieshan Li and Yunjie Jia
As an essential part of modern intelligent decision-making science, multi-attribute decision-making problems can effectively select and rank all candidate schemes under multiple indicators. Because of the complexity of the real environment and the uncert...
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Cheng Zhu, Shaoqi Wang, Na He, Hui Sun, Linjuan Xu and Filip Gurkalo
To improve the accuracy of debris flow forecasts and serve as disaster prevention and mitigation, an accurate and intelligent early warning method of debris flow initiation based on the IGWO-LSTM algorithm is proposed. First, the entropy method is employ...
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Jianyuan Li, Xiaochun Lu, Ping Zhang and Qingquan Li
The timely identification and detection of surface cracks in concrete dams, an important public safety infrastructure, is of great significance in predicting engineering hazards and ensuring dam safety. Due to their low efficiency and accuracy, manual de...
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Emil Doychev, Atanas Terziyski, Stoyan Tenev, Asya Stoyanova-Doycheva, Vanya Ivanova and Pepa Atanasova
The main task of the National Research Program ?Smart crop production?, supported by the Ministry of Education and Science of Bulgaria and approved by the Council of Ministers, is the development of a regional data center to facilitate the work of farmer...
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Sitao Liu, Shenghui Fu, Anrui Hu, Pan Ma, Xianliang Hu, Xinyu Tian, Hongjian Zhang and Shuangxi Liu
Aiming at difficult image acquisition and low recognition accuracy of two rice canopy pests, rice stem borer and rice leaf roller, we constructed a GA-Mask R-CNN (Generative Adversarial Based Mask Region Convolutional Neural Network) intelligent recognit...
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