|
|
|
|
|
Fusheng Chao, Xin Jiang, Xin Wang, Bin Lu, Jiahui Liu and Pinhua Xia
The intensifying global decline in submerged aquatic lake plants is commonly attributed to lake eutrophication, while other drivers such as water levels are seldom considered. This study focused on the sudden extinction of the submerged plants in Caohai ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cen-Ying Liao, Lin Zhang, Si-Yu Hu, Shuai-Jie Xia and D. M. Li
Empowering materials with self-healing capabilities is an attractive approach for sustainable development. This strategy involves using different methods to automatically heal microcracks and damages that occur during the service life of materials or str...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinyi Wang, Yixuan Xie, Linhui Xia, Jin He and Beiyu Lin
As Melbourne faces exponential population growth, the necessity for resilient urban planning strategies becomes critical. These strategies include mixed land use, density, diversity, and sustainable transportation through transit-oriented development (TO...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, Jesús González Arteaga and Ye Xia
The development of low-cost structural and environmental sensors has sparked a transformation across numerous fields, offering cost-effective solutions for monitoring infrastructures and buildings. However, the affordability of these solutions often come...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiaxuan E, Bo Xia, Qing Chen, Laurie Buys, Connie Susilawati and Lindy Osborne Burton
Through a case study on Bribie Island in Queensland, Australia, this study investigates Naturally Occurring Retirement Communities (NORCs) as a viable alternative for ageing-in-place. Aim: The objectives were to investigate why older adults relocate to B...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiarui Xia and Yongshou Dai
Ground roll noise suppression is a crucial step in processing deep pre-stack seismic data. Recently, supervised deep learning methods have gained popularity in this field due to their ability to adaptively learn and extract powerful features. However, th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yiming Mo, Lei Wang, Wenqing Hong, Congzhen Chu, Peigen Li and Haiting Xia
The intrusion of foreign objects on airport runways during aircraft takeoff and landing poses a significant safety threat to air transportation. Small-scale Foreign Object Debris (FOD) cannot be ruled out on time by traditional manual inspection, and the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dongming Wang, Li Xu, Wei Gao, Hongwei Xia, Ning Guo and Xiaohan Ren
As an extremely important energy source, improving the efficiency and accuracy of coal classification is important for industrial production and pollution reduction. Laser-induced breakdown spectroscopy (LIBS) is a new technology for coal classification ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changchang Li, Botao Xu, Zhiwei Chen, Xiaoou Huang, Jing (Selena) He and Xia Xie
University students, as a special group, face multiple psychological pressures and challenges, making them susceptible to social anxiety disorder. However, there are currently no articles using machine learning algorithms to identify predictors of social...
ver más
|
|
|
|
|
|