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Bingyu Li, Lei Wang, Qiaoyong Jiang, Wei Li and Rong Huang
In view of the limitations of traditional statistical methods in dealing with multifactor and nonlinear data and the inadequacy of classical machine learning algorithms in dealing with and predicting data with high dimensions and large sample sizes, this...
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Riaman, Sukono, Sudradjat Supian and Noriszura Ismail
This paper discusses the relationship between weather and rice productivity modeled using the Cobb?Douglas production function principle, with the hypothesis that rice production will increase in line with the increase in average rainfall, wind speed, an...
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Ivana Eremici, Catalin Dumitru, Dan Navolan, Marius Craina, Viviana Ivan, Florin Borcan, Cristina Adriana Dehelean, Ioana Mozos and Dana Stoian
In the past few years, elastography has gained ground as a complementary method to ultrasonography in noninvasive breast cancer screening. Despite positive outcomes, there is a further need to refine the method, especially regarding BIRADS scores 3 and 4...
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Dapei Liu, Xin Wang, Yao Cai, Zihao Liu and Zheng-Jiang Liu
Regional collision risk identification and prediction is important for traffic surveillance in maritime transportation. This study proposes a framework of real-time prediction for regional collision risk by combining Density-Based Spatial Clustering of A...
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Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan and Jie Wu
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network band...
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Dhiaa Musleh, Ali Alkhwaja, Ibrahim Alkhwaja, Mohammed Alghamdi, Hussam Abahussain, Mohammed Albugami, Faisal Alfawaz, Said El-Ashker and Mohammed Al-Hariri
Obesity is increasingly becoming a prevalent health concern among adolescents, leading to significant risks like cardiometabolic diseases (CMDs). The early discovery and diagnosis of CMD is essential for better outcomes. This study aims to build a reliab...
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Sota Aoki, Yohei Fujinami, Pongsathorn Raksincharoensak and Roman Henze
This paper describes the development of an Advanced Driver Assistance System (ADAS) which will allow drivers to avoid collisions with an oncoming vehicle from an occluded area when turning right at intersections in left-hand traffic. Connected vehicles, ...
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Jubilee Prasad-Rao, Olivia J. Pinon Fischer, Neil C. Rowe, Jesse R. Williams, Tejas G. Puranik, Dimitri N. Mavris, Michael W. Natali, Mitchell J. Tindall and Beth W. Atkinson
The cost to train a basic qualified U.S. Navy fighter aircraft pilot is nearly USD 10 M. The training includes primary, intermediate, and advanced stages, with the advanced stage involving extensive flight training, and, thus, is very expensive as a resu...
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Wenjing Li and Zihao Luo
Predicting traffic accidents involves analyzing historical data, determining the relevant factors affecting the occurrence of traffic accidents, and predicting the likelihood of future traffic accidents. Most of the previous studies used statistical meth...
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David Dias, José Silvestre Silva and Alexandre Bernardino
This work proposes a tool to predict the risk of road accidents. The developed system consists of three steps: data selection and collection, preprocessing, and the use of mining algorithms. The data were imported from the Portuguese National Guard datab...
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Francisco Javier López-Escudero, Joaquín Romero, Rocío Bocanegra-Caro and Antonio Santos-Rufo
Developing models to understand disease dynamics and predict the risk of disease outbreaks to facilitate decision making is an integral component of plant disease management. However, these models have not yet been developed for one of the most damaging ...
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Neil S. Grigg
A comprehensive assessment of flood hazards will necessitate a step-by-step analysis, starting with hydrometeorological examinations of runoff and flow, followed by an assessment of the vulnerability of those at risk. Although bodies of knowledge about t...
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Muhamad Jumaa, Mohammed Saqib, Arif Attar
Pág. 85 - 92
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Hilmil Pradana
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an e...
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Eren Duman, Mehmet S. Aktas and Ezgi Yahsi
In today?s financial landscape, traditional banking institutions rely extensively on customers? historical financial data to evaluate their eligibility for loan approvals. While these decision support systems offer predictive accuracy for established cus...
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Cheng Zhang, Xiong Zou and Chuan Lin
In order to prevent safety risks, control marine accidents and improve the overall safety of marine navigation, this study established a marine accident prediction model. The influences of management characteristics, environmental characteristics, person...
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Elias Dritsas and Maria Trigka
The lungs are the center of breath control and ensure that every cell in the body receives oxygen. At the same time, they filter the air to prevent the entry of useless substances and germs into the body. The human body has specially designed defence mec...
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Elias Dritsas and Maria Trigka
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney function over time. It describes a clinical entity that causes kidney damage and affects the general health of the human body. Improper diagnosis and treatment of the...
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Gomathy Ramaswami, Teo Susnjak and Anuradha Mathrani
Poor academic performance of students is a concern in the educational sector, especially if it leads to students being unable to meet minimum course requirements. However, with timely prediction of students? performance, educators can detect at-risk stud...
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Xiaobin Zhang and Bo Yu
Due to the lack of training data and effective haze disaster prediction model, the research on causality analysis and the risk prediction of haze disaster is mainly qualitative. In order to solve this problem, a nonlinear dynamic prediction model of Beij...
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