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Myung Hwan Na, Wanhyun Cho, Sora Kang and Inseop Na
Measuring weight during cattle growth is essential for determining their status and adjusting the feed amount. Cattle must be weighed on a scale, which is laborious and stressful and could hinder growth. Therefore, automatically predicting cattle weight ...
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Lijian Sun, Guozhuang Zhang, Dan Zhao, Ling Ji, Haiyan Gu, Li Sun and Xia Li
Comprehensively understanding the factors influencing crime is a prerequisite for preventing and combating crime. Although some studies have investigated the relationship between environmental factors and property crime, the interaction between factors w...
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Xuexin Yan, Jie Zhou, Fubin Sheng and Qiang Niu
Ensuring that commuting distance remains within a certain range has important effect of residents? quality of life. Although many studies have investigated the relationship between the built environment and residents? commuting distance, limited evidence...
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Subhrajit Satpathy, Dipendra Shahi, Brayden Blanchard, Michael Pontif, Kenneth Gravois, Collins Kimbeng, Anna Hale, James Todd, Atmakuri Rao and Niranjan Baisakh
Sugarcane (Saccharum spp.) is an important perennial grass crop for both sugar and biofuel industries. The Louisiana sugarcane breeding program is focused on improving sugar yield by incrementally increasing genetic gain. With the advancement in genotypi...
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Yasser T. Matbouli and Suliman M. Alghamdi
A holistic occupational and economy-wide framework for salary prediction is developed and tested using statistical machine learning (ML). Predictive models are developed based on occupational features and organizational characteristics. Five different su...
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Zhihui Hu, Tianrui Zhou, Mohd Tarmizi Osman, Xiaohe Li, Yongxin Jin and Rong Zhen
Accurate, reliable, and real-time prediction of ship fuel consumption is the basis and premise of the development of fuel optimization; however, ship fuel consumption data mainly come from noon reports, and many current modeling methods have been based o...
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A.V. Vorobyev
Pág. 29 - 34
The limited availability of information collection is a factor hindering the application of high-performance machine learning algorithms. The development of methods to improve the accuracy of models while reducing the observation periods, can be an effec...
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Yanjun Liu, Yifan Xue, Shuting Huang, Gang Xue and Qianfeng Jing
Reducing the carbon emissions of ships and increasing the utilization of marine renewable energy are the important ways to achieve the goal of carbon neutrality in ocean engineering. Establishing an accurate mathematical model is the foundation of simula...
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Christopher D. Whitmire, Jonathan M. Vance, Hend K. Rasheed, Ali Missaoui, Khaled M. Rasheed and Frederick W. Maier
Predicting alfalfa biomass and crop yield for livestock feed is important to the daily lives of virtually everyone, and many features of data from this domain combined with corresponding weather data can be used to train machine learning models for yield...
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Luca Casini and Marco Roccetti
While Europe was beginning to deal with the resurgence of COVID-19 due to the Delta variant, the European football championship took place from 11 June to 11 July 2021. We studied the inversion in the decreased/increased rate of new SARS-COV-2 infections...
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