|
|
|
|
|
Atefe Sedaghat, Homayoon Arbabkhah, Masood Jafari Kang and Maryam Hamidi
This research introduces an online system for monitoring maritime traffic, aimed at tracking vessels in water routes and predicting their subsequent locations in real time. The proposed framework utilizes an Extract, Transform, and Load (ETL) pipeline to...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kangwen Sun, Siyu Liu, Huafei Du, Haoquan Liang and Xiao Guo
The stratospheric airship is a type of aerostat that uses solar energy as its power source and can fly continuously for months or even years in near space. The rapid and accurate prediction of the output power of its solar array is the key to maintaining...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Luis Pérez-Ruiz, Yu Tang, Igor Loboda and Luis Angel Miró-Zárate
In the field of aircraft engine diagnostics, many advanced algorithms have been proposed over the last few years. However, there is still wide room for improvement, especially in the development of more integrated and complete engine health management sy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hilmil Pradana
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an e...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadi Winata and Nico Surantha
Monitoring battery voltage is important to ensure a steady supply of energy. A crucial aspect to avoid failure is estimating the voltage required by the battery load. Lead acid batteries play a vital role as engine starters when the generators are activa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Shi, Jinzhu Zhang, Lina Li, Ziliang Li, Yanjie Zhang, Xiaoyan Xiong, Tao Wang and Qingxue Huang
Aiming at the robotization of the grinding process in the steel bar finishing process, the steel bar grinding robot can achieve the goal of fast, efficient, and accurate online grinding operation, a multi-layer forward propagating deep neural network (DN...
ver más
|
|
|
|
|
|
|
|
|
|
|
Faezeh Behzadi Pour, Lorena Parra, Jaime Lloret and Saman Abdanan Mehdizadeh
Acquiring the morphological parameters of fish with the traditional method (depending on human and non-automatic factors) not only causes serious problems, such as disease transmission, mortality due to stress, and carelessness and error, but it is also ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhe Zheng, Bo Zou, Wenbin Wei and Wen Tian
The ability to accurately predict flight time of arrival in real time during a flight is critical to the efficiency and reliability of aviation system operations. This paper proposes a data-light and trajectory-based machine learning approach for the onl...
ver más
|
|
|
|
|
|