21   Artículos

 
en línea
Hailiang Gong, Xi Wang and Weidong Zhuang    
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Chenhong Yan, Shefeng Yan, Tianyi Yao, Yang Yu, Guang Pan, Lu Liu, Mou Wang and Jisheng Bai    
Ship-radiated noise classification is critical in ocean acoustics. Recently, the feature extraction method combined with time?frequency spectrograms and convolutional neural networks (CNNs) has effectively described the differences between various underw... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yixian Fu, Yuanyao Lu and Ran Ni    
Lip reading has attracted increasing attention recently due to advances in deep learning. However, most research targets English datasets. The study of Chinese lip-reading technology is still in its initial stage. Firstly, in this paper, we expand the na... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yifan Liu, Weiliang Gao, Tingting Zhao, Zhiyong Wang and Zhihua Wang    
The aim of this study is to enhance the efficiency and lower the expense of detecting cracks in large-scale concrete structures. A rapid crack detection method based on deep learning is proposed. A large number of artificial samples from existing concret... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ruoyu Chen and Ying Chen    
To detect a desired underwater target quickly and precisely, a real-time sonar-based target detection system mounted on an autonomous underwater helicopter (AUH) using an improved convolutional neural network (CNN) is proposed in this paper. YOLOv5 is in... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Kiseong Hong, Gyeong-hyeon Kim and Eunwoo Kim    
Despite the continuous development of convolutional neural networks, it remains a challenge to achieve performance improvement with fewer parameters and floating point operations (FLOPs) as a light-weight model. In particular, excessive expressive power ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sicong Liu, Qingcheng Fan, Shanghao Liu, Shuqin Li and Chunjiang Zhao    
Macaque monkey is a rare substitute which plays an important role for human beings in relation to psychological and spiritual science research. It is essential for these studies to accurately estimate the pose information of macaque monkeys. Many large-s... ver más
Revista: Information    Formato: Electrónico

 
en línea
Priyank Kalgaonkar and Mohamed El-Sharkawy    
Artificial Intelligence (AI) combines computer science and robust datasets to mimic natural intelligence demonstrated by human beings to aid in problem-solving and decision-making involving consciousness up to a certain extent. From Apple?s virtual perso... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

 
en línea
Meilin Liu, Zihao Wang, Daiki Ikeuchi, Junyu Fu and Xiaofeng Wu    
This paper presents the design of a flexible bending actuator using shape memory alloy (SMA) and its integration in attitude control for solar sailing. The SMA actuator has advantages in its power-to-weight ratio and light weight. The bending mechanism a... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zeinab Farahmandpour, Mehdi Seyedmahmoudian and Alex Stojcevski    
Continuous delivery is an industry software development approach that aims to reduce the delivery time of software and increase the quality assurance within a short development cycle. The fast delivery and improved quality require continuous testing of t... ver más
Revista: Applied Sciences    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »