|
|
|
|
|
Yaxin Dong, Hongxiang Ren, Yuzhu Zhu, Rui Tao, Yating Duan and Nianjun Shao
To effectively address the increase in maritime accidents and the challenges posed by the trend toward larger ships for maritime safety, it is crucial to rationally allocate the limited maritime search and rescue (MSAR) resources and enhance accident res...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Deng, Dengfeng Liu, Fengnian Guo, Lianpeng Zhang, Lan Ma, Qiang Huang, Qiang Li, Guanghui Ming and Xianmeng Meng
Soil temperature directly affects the germination of seeds and the growth of crops. In order to accurately predict soil temperature, this study used RF and MLP to simulate shallow soil temperature, and then the shallow soil temperature with the best simu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haohan Shi, Xiyu Shi and Safak Dogan
Audio inpainting plays an important role in addressing incomplete, damaged, or missing audio signals, contributing to improved quality of service and overall user experience in multimedia communications over the Internet and mobile networks. This paper p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhiqing Guo, Xiaohui Chen, Ming Li, Yucheng Chi and Dongyuan Shi
Peanut leaf spot is a worldwide disease whose prevalence poses a major threat to peanut yield and quality, and accurate prediction models are urgently needed for timely disease management. In this study, we proposed a novel peanut leaf spot prediction me...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shih-Lun Fang, Yi-Shan Lin, Sheng-Chih Chang, Yi-Lung Chang, Bing-Yun Tsai and Bo-Jein Kuo
The reference evapotranspiration (ET0) information is crucial for irrigation planning and water resource management. While the Penman-Monteith (PM) equation is widely recognized for ET0 calculation, its reliance on numerous meteorological parameters cons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Omar Serghini, Hayat Semlali, Asmaa Maali, Abdelilah Ghammaz and Salvatore Serrano
Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users. The application of machine learning tec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weilai Jiang, Chenghong Zheng, Delong Hou, Kangsheng Wu and Yaonan Wang
The autonomous shape decision-making problem of a morphing aircraft (MA) with a variable wingspan and sweep angle is studied in this paper. Considering the continuity of state space and action space, a more practical autonomous decision-making algorithm ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuting Xu and Jinming Xu
The construction of deep foundation pits in subway stations can affect the settlement of existing buildings adjacent to the pits to varying degrees. In this paper, the Long Short-Term Memory neural network prediction model of building settlement caused b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaser Altameemi and Mohammed Altamimi
Using advanced algorithms to conduct a thematic analysis reduces the time taken and increases the efficiency of the analysis. Long short-term memory (LSTM) is effective in the field of text classification and natural language processing (NLP). In this st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhiqian Zhang, Lei Liu, Lin Quan, Guohong Shen, Rui Zhang, Yuqi Jiang, Yuxiong Xue and Xianghua Zeng
Accurately predicting proton flux in the space radiation environment is crucial for satellite in-orbit management and space science research. This paper proposes a proton flux prediction method based on a hybrid neural network. This method is a predictiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Siyao Yan, Jing Zhang, Mosharaf Md Parvej and Tianchi Zhang
This paper proposes a novel Sea Drift Trajectory Prediction method based on the Quantum Convolutional Long Short-Term Memory (QCNN-LSTM) model. Accurately predicting sea drift trajectories is a challenging task, as they are influenced by various complex ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dong Wu, Zhichao Jia, Yanqi Zhang and Junhui Wang
The heat dissipated from high geo-temperature underground surrounding rocks is the main heat source of working faces, while thermal water upwelling and trickling into the roadway will notably deteriorate the mine?s climate and thermal comfort. Predicting...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weiqing Zhuang and Yongbo Cao
In the previous research on traffic flow prediction models, most of the models mainly studied the time series of traffic flow, and the spatial correlation of traffic flow was not fully considered. To solve this problem, this paper proposes a method to pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tian Xie, Weiping Ding, Jinbao Zhang, Xusen Wan and Jiehua Wang
The discipline of automatic image captioning represents an integration of two pivotal branches of artificial intelligence, namely computer vision (CV) and natural language processing (NLP). The principal functionality of this technology lies in transmuti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huan-Yu Chen, Chuen-Horng Lin, Jyun-Wei Lai and Yung-Kuan Chan
This paper proposes a multi?convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Min Yue and Shuhong Ma
A crucial component of multimodal transportation networks and long-distance travel chains is the forecasting of transfer passenger flow between integrated hubs in urban agglomerations, particularly during periods of high passenger flow or unusual weather...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seok-Ho Han, Husna Mutahira and Hoon-Seok Jang
Ensuring food security has become of paramount importance due to the rising global population. In particular, the agriculture sector in South Korea faces several challenges such as an aging farming population and a decline in the labor force. These issue...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Zhou, Jiyin Cao, Gang Zhang, Xia Yang and Xinyu Wang
High heat load on diesel engines is a main cause of ship failure, which can lead to ship downtime and pose a risk to personal safety and the environment. As such, predictive detection and maintenance measures are highly important. During the operation of...
ver más
|
|
|
|
|
|