|
|
|
|
|
Zhu Liang, Weiping Peng, Wei Liu, Houzan Huang, Jiaming Huang, Kangming Lou, Guochao Liu and Kaihua Jiang
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manisha Sanjay Sirsat, Paula Rodrigues Oblessuc and Ricardo S. Ramiro
Genomic Prediction (GP) is a powerful approach for inferring complex phenotypes from genetic markers. GP is critical for improving grain yield, particularly for staple crops such as wheat and rice, which are crucial to feeding the world. While machine le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ljiljana ?eric, Tomas Pinju?ic, Karlo Topic and Tomislav Bla?evic
In this paper, we propose a methodology and algorithms for search and rescue mission planning. These algorithms construct optimal areas for lost person search having in mind the initial point of planning and features of the surrounding area. The algorith...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yasmine Lamari, Bartol Freskura, Anass Abdessamad, Sarah Eichberg and Simon de Bonviller
While the use of crime data has been widely advocated in the literature, its availability is often limited to large urban cities and isolated databases that tend not to allow for spatial comparisons. This paper presents an efficient machine learning fram...
ver más
|
|
|
|
|
|
|
|
|
|
|
Samiulhaq Wasiq and Amir Golroo
Road networks play a significant role in each country?s economy, especially in countries such as Afghanistan, which is strategically located in the international transit path from Europe to East Asia. In such a country, pavement performance models are fu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sadiq Gbagba, Lorenzo Maccioni and Franco Concli
In the shipbuilding, construction, automotive, and aerospace industries, welding is still a crucial manufacturing process because it can be utilized to create massive, intricate structures with exact dimensional specifications. These kinds of structures ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mirko Dinulovic, Aleksandar Benign and Bo?ko Ra?uo
In the present work, the potential application of machine learning techniques in the flutter prediction of composite materials missile fins is investigated. The flutter velocity data set required for different fin aerodynamic geometries and materials is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sunny Kumar Poguluri and Yoon Hyeok Bae
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not underg...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vlado Francic, Nermin Hasanspahic, Mario Mandu?ic and Marko Strabic
It is of the utmost importance to accurately estimate different ships? weights during their design stages. Additionally, lightship displacement (LD) data are not always easily accessible to shipping stakeholders, while other ships? dimensions are within ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiyong Zhao, Yanzhou Li, Yongli Chen, Xi Qiao and Wanqiang Qian
Chlorophyll a (chl-a) concentration is an important parameter for evaluating the degree of water eutrophication. Monitoring it accurately through remote sensing is thus of great significance for early warnings of water eutrophication, and the inversion o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang-Kuei Lin, Chien-Fu Chen and Tien-Yin Chou
Convenience store chains are many people?s top choice for dining and leisure and have logistics procedures that involve each store receiving multiple deliveries because of the varying delivery periods and suitable temperatures for different goods. The es...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tasha Austin and Bharat S. Rawal
The purpose of this study is to show how machine learning can be leveraged as a tool to govern social impact and drive fair and equitable investments. Many organizations today are establishing financial inclusion goals to promote social impact and have b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yacine Mohia, Rafik Absi, Mourad Lazri, Karim Labadi, Fethi Ouallouche and Soltane Ameur
To estimate rainfall from remote sensing data, three machine learning-based regression models, K-Nearest Neighbors Regression (K-NNR), Support Vector Regression (SVR), and Random Forest Regression (RFR), were implemented using MSG (Meteosat Second Genera...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pouya Hosseinzadeh, Ayman Nassar, Soukaina Filali Boubrahimi and Shah Muhammad Hamdi
Streamflow prediction plays a vital role in water resources planning in order to understand the dramatic change of climatic and hydrologic variables over different time scales. In this study, we used machine learning (ML)-based prediction models, includi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chang Gwon Dang, Seung Soo Lee, Mahboob Alam, Sang Min Lee, Mi Na Park, Ha-Seung Seong, Min Ki Baek, Van Thuan Pham, Jae Gu Lee and Seungkyu Han
Accurate weight measurement is critical for monitoring the growth and well-being of cattle. However, the traditional weighing process, which involves physically placing cattle on scales, is labor-intensive and stressful for the animals. Therefore, the de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov and Marko M. Mäkelä
In this paper, a new nonsmooth optimization-based algorithm for solving large-scale regression problems is introduced. The regression problem is modeled as fully-connected feedforward neural networks with one hidden layer, piecewise linear activation, an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roman Shults, Mykola Bilous, Azhar Ormambekova, Toleuzhan Nurpeissova, Andrii Khailak, Andriy Annenkov and Rustem Akhmetov
Modern cities are full of complex and substantial engineering structures that differ by their geometry, sizes, operating conditions, and technologies used in their construction. During the engineering structures? life cycle, they experience the effects o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weizhong Zeng, Ke Xu, Sihang Cheng, Lei Zhao and Kun Yang
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Edward Helderop, Tony H. Grubesic, Dominique Roe-Sepowitz and Jorge A. Sefair
There is ongoing debate regarding the merits of decriminalization or outright legalization of commercial sex work in the United States. A few municipalities have officially legalized both the selling and purchasing of sex, while others unofficially crimi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sen Wang, Jintai Gong, Haoyu Gao, Wenjie Liu and Zhongkai Feng
In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial?temporal variability under the influences of multiple physical factors from both climate events and human act...
ver más
|
|
|
|
|
|