Skip to main content

and
  1. No Access

    Article

    Differentiation of malignant from benign soft tissue tumors using radiomics based on pharmacokinetic parameter maps obtained from dynamic contrast-enhanced magnetic resonance imaging data

    Preoperative differentiation between benign and malignant soft tissue tumors (STTs) is vital for clinical treatment decisions. To develop and test a dynamic contrast-enhanced magnetic resonance imaging (DCE MR...

    **gwei Hao, Shunli Liu, Tongyu Wang, **aomeng Han in Chinese Journal of Academic Radiology (2024)

  2. No Access

    Article

    Trihalomethane prediction model for water supply system based on machine learning and Log-linear regression

    Laboratory determination of trihalomethanes (THMs) is a very time-consuming task. Therefore, establishing a THMs model using easily obtainable water quality parameters would be very helpful. This study explore...

    Hui Li, Yangyang Chu, Yan** Zhu, **aomeng Han in Environmental Geochemistry and Health (2024)

  3. No Access

    Article

    Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability

    Multi-state components, common cause failures (CCFs) and data uncertainty are the general problems for reliability analysis of complex engineering systems. In this paper, a method incorporating fuzzy probabili...

    Yan-Feng Li, Hong-Zhong Huang, **hua Mi, Weiwen Peng in Annals of Operations Research (2022)

  4. No Access

    Chapter and Conference Paper

    Color Reproduction Analysis for 3D Printing Based on Photosensitive Resin

    With the continuous innovation and development of printing technology, full-color 3D printing has gradually become the development trend of the industry. Although full-color 3D printing has been realized, ther...

    **aomeng Han, Yijie Ren, Yibo Wang in Interdisciplinary Research for Printing an… (2022)

  5. No Access

    Article

    Two novel ELM-based stacking deep models focused on image recognition

    Extreme learning machine (ELM) and its variants have been widely used in the field of object recognition and other complex classification tasks. Traditional deep learning architectures like Convolutional Neura...

    Gang Song, Qun Dai, **aomeng Han, Lin Guo in Applied Intelligence (2020)

  6. No Access

    Article

    Innovative sludge pretreatment technology for impurity separation using micromesh

    In order to reduce the impacts on sludge treatment facilities caused by impurities such as fibers, hairs, plastic debris, and coarse sand, an innovative primary sludge pretreatment technology, sludge impurity ...

    **aojie Mei, **aomeng Han, Lili Zang in Environmental Science and Pollution Resear… (2019)

  7. No Access

    Article

    Phase Equilibria Modeling and Zircon Dating for Precambrian Metapelites from the **nghuadukou Complex in the Lulin Forest of the Erguna Massif, Northeast China

    The nature and formation time of the **nghuadukou complex in Northeast China are important for determining the tectonic evolution of the Precambrian geological evolution of the Erguna massif. In this study, we...

    Jiulei Xu, Changqing Zheng, Lucie Tajčmanová, **n Zhong in Journal of Earth Science (2018)

  8. No Access

    Article

    Batch-normalized Mlpconv-wise supervised pre-training network in network

    Deep multi-layered neural networks have nonlinear levels that allow them to represent highly varying nonlinear functions compactly. In this paper, we propose a new deep architecture with enhanced model discrim...

    **aomeng Han, Qun Dai in Applied Intelligence (2018)

  9. No Access

    Article

    An efficient ordering-based ensemble pruning algorithm via dynamic programming

    Although ordering-based pruning algorithms possess relatively high efficiency, there remains room for further improvement. To this end, this paper describes the combination of a dynamic programming technique w...

    Qun Dai, **aomeng Han in Applied Intelligence (2016)

  10. No Access

    Article

    Membrane bioreactors fed with different COD/N ratio wastewater: impacts on microbial community, microbial products, and membrane fouling

    It is known that an increase of COD/N ratio can result in an enhanced removal of nutrients in membrane bioreactors (MBRs); however, impacts of doing so on membrane filtration performance remain unclear. In thi...

    **aomeng Han, Zhiwei Wang, **xing Ma in Environmental Science and Pollution Resear… (2015)

  11. No Access

    Article

    Formation and removal of dissolved organic nitrogen (DON) in membrane bioreactor and conventional activated sludge processes

    Dissolved organic nitrogen (DON) has become a growing concern due to its contribution to eutrophication and nitrogenous disinfection byproducts (N-DBPs) formation. However, information of DON in membrane biore...

    **aomeng Han, Zhiwei Wang, **xing Ma in Environmental Science and Pollution Resear… (2015)

  12. No Access

    Chapter and Conference Paper

    A Social Network Analysis of Students’ Online Interaction in Hybrid Learning – A Case Study of “Media and Teaching” Course

    Hybrid learning which depends on online learning is becoming more and more acceptable by learners, especially with the development of network technology and the increasingly open classroom teaching. Learners’ ...

    **** Zuo, Su Mu, **aomeng Han in Hybrid Learning (2012)