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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...
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Sanjiban Sekhar Roy, Ali Ismail Awad, Lamesgen Adugnaw Amare, Mabrie Tesfaye Erkihun and Mohd Anas
In today?s world, phishing attacks are gradually increasing, resulting in individuals losing valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers craft malicious websites disguised as well-known, legitimate sites...
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Mohammad J. Hamayel and Amani Yousef Owda
Cryptocurrency is a new sort of asset that has emerged as a result of the advancement of financial technology and it has created a big opportunity for researches. Cryptocurrency price forecasting is difficult due to price volatility and dynamism. Around ...
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Sibtain Syed, Syed Muhammad Talha, Arshad Iqbal, Naveed Ahmad and Mohammed Ali Alshara
Cryptocurrency is recognized as a leading digital currency by its peer-to-peer transfer capabilities and secure features. Accurately forecasting cryptocurrency price trends holds substantial significance for investors and traders, as they inform critical...
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Vahid Safavi, Arash Mohammadi Vaniar, Najmeh Bazmohammadi, Juan C. Vasquez and Josep M. Guerrero
Predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is crucial to preventing system failures and enhancing operational performance. Knowing the RUL of a battery enables one to perform preventative maintenance or replace the batte...
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Zheng Zhao, Jialing Yuan and Luhao Chen
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t...
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Tiao Kang, Hui Peng and Xiaoyan Peng
Industrial process control systems commonly exhibit features of time-varying behavior, strong coupling, and strong nonlinearity. Obtaining accurate mathematical models of these nonlinear systems and achieving satisfactory control performance is still a c...
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Gaurav Narkhede, Anil Hiwale, Bharat Tidke and Chetan Khadse
Day by day pollution in cities is increasing due to urbanization. One of the biggest challenges posed by the rapid migration of inhabitants into cities is increased air pollution. Sustainable Development Goal 11 indicates that 99 percent of the world?s u...
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Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou and Binbin Yong
Electricity load forecasting has seen increasing importance recently, especially with the effectiveness of deep learning methods growing. Improving the accuracy of electricity load forecasting is vital for public resources management departments. Traditi...
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Haijun Liu, Dongxing Lei, Jing Yuan, Guoming Yuan, Chunjie Cui, Yali Wang and Wei Xue
The prediction of the total electron content (TEC) in the ionosphere is of great significance for satellite communication, navigation and positioning. This paper presents a multiple-attention mechanism-based LSTM (multiple-attention Long Short-Term Memor...
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Hanem I. Hegazy, Adly S. Tag Eldien, Mohsen M. Tantawy, Mostafa M. Fouda and Heba A. TagElDien
Recently, false data injection attacks (FDIAs) have been identified as a significant category of cyber-attacks targeting smart grids? state estimation and monitoring systems. These cyber-attacks aim to mislead control system operations by compromising th...
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Khalid Alkhatib, Huthaifa Khazaleh, Hamzah Ali Alkhazaleh, Anas Ratib Alsoud and Laith Abualigah
Stock price prediction is a significant research field due to its importance in terms of benefits for individuals, corporations, and governments. This research explores the application of the new approach to predict the adjusted closing price of a specif...
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Khaula Qadeer, Wajih Ur Rehman, Ahmad Muqeem Sheri, Inyoung Park, Hong Kook Kim and Moongu Jeon
Forecasting particulate matter of size less than 2.5 µm (PM2.5" role="presentation">2.52.5
2.5
) in big cities is a major challenge for scientific community. In addition to environmental impacts, these particulate matter cause various diseases, such as c...
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Dan Wang, Haitao Min, Honghui Zhao, Weiyi Sun, Bin Zeng and Qun Ma
This paper proposes a long short-term memory (LSTM) network to predict the power degradation of proton exchange membrane fuel cells (PEMFCs), and in order to promote the performance of the LSTM network, the ant colony algorithm (ACO) is introduced to opt...
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Shuyi Zhou, Brandon J. Bethel, Wenjin Sun, Yang Zhao, Wenhong Xie and Changming Dong
Wave forecasts, though integral to ocean engineering activities, are often conducted using computationally expensive and time-consuming numerical models with accuracies that are blunted by numerical-model-inherent limitations. Additionally, artificial ne...
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Yujie Fang, Juan Chen and Zhengxuan Xue
This paper takes 50 ETF options in the options market with high transaction complexity as the research goal. The Random Forest (RF) model, the Long Short-Term Memory network (LSTM) model, and the Support Vector Regression (SVR) model are used to predict ...
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Chunyuan Zhang, Pengyu Chen, Fangling Jiang, Jinsen Xie and Tao Yu
Nuclear power is a type of clean and green energy; however, there is a risk of radioactive material leakage when accidents occur. When radioactive material leaks from nuclear power plants, it has a great impact on the environment and personnel safety. In...
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Song Li, Tianhe Xu, Yan Xu, Nan Jiang and Luísa Bastos
Antarctica has a significant impact on global climate change. However, to draw climate change scenarios, there is a need for meteorological data, such as water vapor content, which is scarce in Antarctica. Global navigation satellite system (GNSS) networ...
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Yaseen Ahmed Mohammed Alsumaidaee, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, Chung Hong Tan, Kharudin Ali and Yogendra A. L. Balasubramaniam
Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology. This s...
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Lan Luo, Yanjun Zhang, Wenxun Dong, Jinglin Zhang and Liping Zhang
Water quality prediction is an important part of water pollution prevention and control. Using a long short-term memory (LSTM) neural network to predict water quality can solve the problem that comprehensive water quality models are too complex and diffi...
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