|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheng Gong, Nicholas Barnett, Jangguen Lee, Hyunwoo Jin, Byunghyun Ryu, Taeyoung Ko, Joung Oh, Andrew Dempster and Serkan Saydam
Water resources are essential to human exploration in deep space or the establishment of long-term lunar habitation. Ice discovered on the Moon may be useful in future missions to the lunar surface, necessitating the consideration of in situ resource uti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiantao Qu, Chunyu Qi and He Meng
Within the Shuo Huang Railway Company (Suning, China ) the long-term evolution for railways (LTE-R) network carries core wireless communication services for trains. The communication performance of LTE-R cells directly affects the operational safety of t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaowen Chen, Naiang Wang, Simin Peng, Nan Meng and Haoyun Lv
Notwithstanding the overall improvement in the ecological condition of the Qilian Mountains, there are localized occurrences of grassland degradation, desertification, and salinization. Moreover, timely and accurate acquisition of desertification informa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingmeng Yuan, Liang Kong, Qianyong Liang, Jinqiang Liang, Lin Yang, Yifei Dong, Zhigang Wang and Xuemin Wu
Clarifying the mechanical characteristics of gas hydrate-bearing sediments (GHBS) from a mechanical perspective is crucial for ensuring the long-term, safe, and efficient extraction of natural gas hydrates. In this study, seabed soft clay from the northe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linfeng Wang, Shengbo Chen, Lei Chen, Zibo Wang, Bin Liu and Yucheng Xu
Accurately mapping urban built-up areas is critical for monitoring urbanization and development. Previous studies have shown that Night light (NTL) data is effective in characterizing the extent of human activity. But its inherently low spatial resolutio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheng Zhao, Jialing Yuan and Luhao Chen
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t...
ver más
|
|
|
|
|
|