Deep learning for detecting macroplastic litter in water bodies: A review T Jia, Z Kapelan, R de Vries, P Vriend, EC Peereboom, I Okkerman, ... Water Research 231, 119632, 2023 | 30 | 2023 |
Short-term multi-objective optimal operation of reservoirs to maximize the benefits of hydropower and navigation T Jia, H Qin, D Yan, Z Zhang, B Liu, C Li, J Wang, J Zhou Water 11 (6), 1272, 2019 | 12 | 2019 |
A daily power generation optimized operation method of hydropower stations with the navigation demands considered T Jia, J Zhou, X Liu MATEC Web of Conferences 246, 01065, 2018 | 7 | 2018 |
Advancing Deep Learning-based Detection of Floating Litter using a Novel Open Dataset T Jia, AJ Vallendar, R de Vries, Z Kapelan, R Taormina Frontiers in Water 5, 1298465, 2023 | 1 | 2023 |
基于数据挖掘的抽水蓄能机组故障关联关系分析 郑庭华, 常玉红, 周建中, 刘涵, 李玲, 姜伟, 贾天龙, 许颜贺 大电机技术, 14-19, 2019 | 1 | 2019 |
Advancing Deep Learning-Based Acoustic Leak Detection Methods Towards Application for Water Distribution Systems from a Data-centric Perspective Y Wu, X Ma, G Guo, T Jia, Y Huang, S Liu, J Fan, X Wu Water Research, 121999, 2024 | | 2024 |
Detecting Floating Macroplastic Litter with Semi-Supervised Deep Learning T Jia, R de Vries, Z Kapelan, R Taormina EGU24, 2024 | | 2024 |
PHyL v1. 0: A parallel, flexible, and advanced software for hydrological and slope stability modeling at a regional scale G Chen, K Zhang, S Wang, T Jia Environmental Modelling & Software 172, 105882, 2024 | | 2024 |
An open source dataset for Deep Learning-based visual detection of floating macroplastic litter A Vallendar, T Jia, R de Vries, Z Kapelan, R Taormina EGU General Assembly Conference Abstracts, EGU-12092, 2023 | | 2023 |
A robust deep learning methodology to detect floating macro-plastic litter in rivers T Jia, R de Vries, Z Kapelan, R Taormina EGU General Assembly Conference Abstracts, EGU22-7423, 2022 | | 2022 |
基于 Hadoop 多节点式无人水文监测船系统 贾天龙, 夏涵恺, 徐赫遥 黑龙江水利 1 (11), 29-32, 2015 | | 2015 |