Modeling of Ship Fuel Consumption Based on Multisource and Heterogeneous Data: Case Study of Passenger Ship

Zhu, Yongjie; Zuo, Yi; Li, Tieshan

doi:10.3390/jmse9030273

Cited by 21 publications

(17 citation statements)

References 24 publications

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“…Model Building. Data preprocessing is the preparation work before data mining, which aims to provide standard format and targeted data for data mining, reduce the amount of data processing of data mining algorithm, improve mining efficiency, and ultimately improve the accuracy of the model [25,26]. Data preprocessing methods include data cleaning, data integration, data conversion, and data specification.…”

Section: Construction Of Prediction Model For Cet-4 Resultsmentioning

confidence: 99%

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

Cheng

2022

Wireless Communications and Mobile Computing

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With the growing software of English in society, English gaining knowledge is turning into extra and greater important. The software and lookup of fact mining science in English educating and gaining knowledge will turn out to be a new improvement trend. This study is based on the information of non-English majors’ learning situation of Public English course and CET-4 scores. It selects the data related to CET-4 scores as the characteristics, takes CET-4 passing rate as the goal, and makes use of selection tree classification mannequin to predict the passing likelihood of CET-4. After comparison and analysis, it is observed that the multisource heterogeneous statistic mining science can precisely predict students’ grades, which verify the software of multisource heterogeneous information mining technological know-how in university English studying and have an impact on of the mannequin on the end result prediction. The results of College English final examination and gender are the main factors affecting the passing rate of CET4. The higher the score of College English final examination, the higher the passing rate of CET-4. The results of this study show that girls’ passing rate and average score of CET-4 are higher than boys’. Other factors have little influence on CET4 passing rate and can be ignored. There is a significant positive relationship between the scores of CET-4, CET-1, and Putonghua. After analysing the number attributes of the model, blended with the statistical consequences of information analysis, this paper offers some ideas and hints to enhance the instructing administration and the passing charge of CET-4.

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Section: Construction Of Prediction Model For Cet-4 Resultsmentioning

confidence: 99%

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

Cheng

2022

Wireless Communications and Mobile Computing

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“…These models have one thing in common: applying multiple DL layers such as convolutional, pooling, and fully connected layers. The convolutional layer is essential to the CNN [62]. It is a filter applied to input data to map its features [63].…”

Section: ) Deep Learning Modelsmentioning

confidence: 99%

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

et al. 2023

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Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social engineering attacks where an attacker deceives users by sending fake messages using social media platforms or emails. Phishing attacks steal users' information or download and install malicious software. They are hard to detect because attackers can design a phishing message that looks legitimate to a user. This message may contain a phishing URL so that even an expert can be a victim. This URL leads the victim to a fake website that steals information, such as login information, payment information, etc. Researchers and engineers work to develop methods to detect phishing attacks without the need for the eyes of experts. Even though many papers discuss HTML and URL-based phishing detection methods, there is no comprehensive survey to discuss these methods. Therefore, this paper comprehensively surveys HTML and URL phishing attacks and detection methods. We review the current state-of-art deep learning models to detect URL-based and hybrid-based phishing attacks in detail. We compare each model based on its data preprocessing, feature extraction, model design, and performance.

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“…(2020) conducted a study that aimed to optimize the exhaust emissions from a marine dualfuel engine using Response Surface Method. Zhu et. al.…”

Section: Introductionmentioning

confidence: 99%

Regression Modelling Estimation of Marine Diesel Generator Fuel Consumption and Emissions

Yüksel

Köseoğlu

2022

Trans. Marit. Sci.

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This study aims to estimate the fuel consumption of marine diesel generators onboard. Objective technical specifications and operational data on the ship's power generating plants and port calls were collected from an oceangoing oil/chemical tanker and used to develop the mathematical model of the plant in the Python and MATLAB environment. The model consists of alternators, prime movers and load distributions of the ship’s power generating plant and provides information on fuel consumption in metric tons calculated based on hours of operation and specific fuel consumption data. Regression models have helped predict future fuel consumption for the plant and the optimal model for the dataset was identified by comparing four different algorithms. As the results have shown the Ordinary Least Squares Regression to be optimum, it was used to make one, five, and ten-year predictions. The predictions for one-year, five-year, and ten-year periods are 4,322,436, 10,684,860, and 18,615,472 t respectively. The selected model predicts fuel consumption with R2 of 0.999, MAE of 3.932, and RMSE of 2.935. Fuel consumption predictions facilitated plant emission calculation.

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Modeling of Ship Fuel Consumption Based on Multisource and Heterogeneous Data: Case Study of Passenger Ship

Cited by 21 publications

References 24 publications

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

Intelligent Prediction Model of CET-4 Passing Rate Based on Multisource Heterogeneous Data Mining

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

Regression Modelling Estimation of Marine Diesel Generator Fuel Consumption and Emissions

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