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Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem and Matloob Khushi
Stock price prediction can be made more efficient by considering the price fluctuations and understanding people?s sentiments. A limited number of models understand financial jargon or have labelled datasets concerning stock price change. To overcome thi...
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Kiriakos Alexiou, Efthimios G. Pariotis, Theodoros C. Zannis and Helen C. Leligou
The maritime industry is one of the most competitive industries today. However, there is a tendency for the profit margins of shipping companies to reduce due to an increase in operational costs, and it does not seem that this trend will change in the ne...
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Sami Kaidi, Hassan Smaoui and Philippe Sergent
For competitive reasons, inland ships as maritime ships are increasingly larger with powerful propulsive systems. The impact of this evolution on the environment is multiple. One of the major impacts is the erosion of the channel bed and the sediment sus...
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Cheng Xiao, Zuojun Liu, Tieling Zhang and Xu Zhang
The converter is an important component in wind turbine power drive-train systems, and usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of its failure has become indispensable for condition-based maintenance...
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Moussa Diallo, Shengwu Xiong, Eshete Derb Emiru, Awet Fesseha, Aminu Onimisi Abdulsalami and Mohamed Abd Elaziz
Classification algorithms have shown exceptional prediction results in the supervised learning area. These classification algorithms are not always efficient when it comes to real-life datasets due to class distributions. As a result, datasets for real-l...
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