47   Artículos

 
en línea
Minkeon Lee, Seunghyeon Yu, Kybeom Kwon, Myungshin Lee, Junghyun Lee and Heungseob Kim    
Satellites have been developed and operated for various purposes. The global satellite market is growing rapidly as the number of satellites and their mission diversity increase. Satellites revolve around the Earth to perform missions and communicate wit... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Chang Guo, Jianfeng Zhu and Xiaoming Wang    
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Onur Mesut Senaras, Erol Solmaz, Nursel Öztürk and Ferruh Öztürk    
The utilization of low-cost AGVs in the industry is increasing every day, but the efficiency of these systems is low due to the lack of a central management system. Low-cost AGVs? main characteristic is navigation via magnetic sensors, which they follow ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Pouya Hosseinzadeh, Ayman Nassar, Soukaina Filali Boubrahimi and Shah Muhammad Hamdi    
Streamflow prediction plays a vital role in water resources planning in order to understand the dramatic change of climatic and hydrologic variables over different time scales. In this study, we used machine learning (ML)-based prediction models, includi... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Chi Zhang, Zhong Yang, Haoze Zhuo, Luwei Liao, Xin Yang, Tang Zhu and Guotao Li    
Self-localization and state estimation are crucial capabilities for agile drone autonomous navigation. This article presents a lightweight and drift-free vision-IMU-GNSS tightly coupled multisensor fusion (LDMF) strategy for drones? autonomous and safe n... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Ruiqing Wang, Jinlei Feng, Wu Zhang, Bo Liu, Tao Wang, Chenlu Zhang, Shaoxiang Xu, Lifu Zhang, Guanpeng Zuo, Yixi Lv, Zhe Zheng, Yu Hong and Xiuqi Wang    
This paper proposes a data anomaly detection and correction algorithm for the tea plantation IoT system based on deep learning, aiming at the multi-cause and multi-feature characteristics of abnormal data. The algorithm is based on the Z-score standardiz... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Soohyun Cho    
Herein, we propose the use of the logarithmic values of data transmission rates for multi-armed bandit (MAB) algorithms that adjust the modulation and coding scheme (MCS) levels of data packets in carrier-sensing multiple access/collision avoidance (CSMA... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Meng Zhang and Bin Yang    
The high efficiency, flexibility, and low cost of robots provide huge opportunities for the application and development of intelligent logistics. Especially during the COVID-19 pandemic, the non-contact nature of robots effectively helped with preventing... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Daqing Wu and Chenxiang Wu    
Due to the diversity and the different distribution conditions of agricultural products, split delivery plays an important role in the last mile distribution of agricultural products distribution. The time-dependent split delivery green vehicle routing p... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Ke Li, Yansen Wu, Abu Bakar, Shaofan Wang, Yuangan Li and Dongsheng Wen    
The accurate calculation of energy system parameters makes a great contribution to the long-term low-altitude flight of solar-powered aircraft. The purpose of this paper is to propose a design method for optimization and management of the low-altitude an... ver más
Revista: Aerospace    Formato: Electrónico

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