|
|
|
Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b...
ver más
|
|
|
|
|
|
|
Yu Xiaohui, Zhao Hui
Pág. 37 - 45
AbstractRural Revitalization cannot be carried out simply through industrialization that has been done by the traditional development. It needs the simultaneous development of primary, secondary and tertiary industries because the traditional development...
ver más
|
|
|
|
|
|
|
Yusef Kianpoor Kalkhajeh, Bahman Jabbarian Amiri, Biao Huang, Azad Henareh Khalyani, Wenyou Hu, Hongjian Gao and Michael L. Thompson
Although phosphorus (P) is an essential nutrient for biological productivity, it can cause freshwater degradation when present at fairly low concentrations. Monitoring studies using continuous sampling is crucial for documenting P dynamics in freshwater ...
ver más
|
|
|
|
|
|
|
Huiying Ren, Z. Jason Hou, Mark Wigmosta, Ying Liu and L. Ruby Leung
Changes in extreme precipitation events may require revisions of civil engineering standards to prevent water infrastructures from performing below the designated guidelines. Climate change may invalidate the intensity-duration-frequency (IDF) computatio...
ver más
|
|
|
|
|
|
|
Lowri Williams, Eirini Anthi and Pete Burnap
The performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,...
ver más
|
|
|
|
|
|
|
Ha-Kyung Kim, In-Hwan Cho, Eun-A Hwang, Byung-Hun Han and Baik-Ho Kim
This paper reviews the evolution and integration of diatom-based water quality assessments with environmental DNA (eDNA) techniques for advancing river ecosystem health evaluations. Traditional methods, relying on microscopy and diatom indices, have sign...
ver más
|
|
|
|
|
|
|
Xiaoou Li
This paper tackles the challenge of time series forecasting in the presence of missing data. Traditional methods often struggle with such data, which leads to inaccurate predictions. We propose a novel framework that combines the strengths of Generative ...
ver más
|
|
|
|
|
|
|
Min Zhou, Jiayuan Wang, Bo Yu and Kunyang Chen
Quality management in the design phase is crucial for determining the overall quality of prefabricated buildings. However, traditional design methods can no longer meet the complex design, component, and nodal requirements of prefabricated buildings. Thi...
ver más
|
|
|
|
|
|
|
Pawel Lisowski and Michal A. Glinicki
The wide use of multi-component cement of highly reduced Portland clinker factor is largely impeded by detrimental changes in the rheological properties of concrete mixes, a substantial reduction in the early rate of cement hardening, and sometimes the i...
ver más
|
|
|
|
|
|
|
Yawei Ning, Minglei Ren, Shuai Guo, Guohua Liang, Bin He, Xiaoyang Liu and Rong Tang
Multi-objective reservoir operation of reservoir flood control involves numerous factors and complex model solving, and exploring effective methods for solving the operation models has always been a hot topic in reservoir optimization operation research....
ver más
|
|
|
|