Results 51 to 60 of about 1,103,641 (160)

Stage-Wise Simulation for Operational Stability Evaluation of Seasonal Heat Storage in Abandoned Coal Mines

Energies
The development of coal resources has created a large number of underground mined-out spaces, which can be utilized for cross-seasonal thermal storage through underground reservoirs to achieve seasonal heat storage.
Wenying Tang, Jiawei Tang, Qiang Guo, Haiqin Zhang, Changhao Feng, Xiaolin He, Zixu Hu, Xi Wu   +7 more
doaj   +1 more source

Low-resource machine translation using MATREX: The DCU machine translation system for IWSLT 2009 [PDF]

, 2009
In this paper, we give a description of the Machine Translation (MT) system developed at DCU that was used for our fourth participation in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT 2009).
Cetinoglu, Ozlem, Du, Jinhua, Ma, Yanjun, Okita, Tsuyoshi, Way, Andy   +4 more
core   +2 more sources

Performance Evaluation of Heat Storage in a Full Operation Cycle of Cross-Seasonal Thermal Energy Storage Systems in Coal Mine Underground Reservoirs

Applied Sciences
Coal mining has generated a large amount of underground space, which has traditionally been reused mostly as mine wastewater storage. Given the excellent thermal insulation properties of these mine reservoirs, their potential for seasonal energy storage ...
Wenying Tang, Jiawei Tang, Qiang Guo, Haiqin Zhang, Changhao Feng, Yilong Yuan, Xiaolin He, Zixu Hu   +7 more
doaj   +1 more source

Low-Resource Semantic Role Labeling [PDF]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
We explore the extent to which highresource manual annotations such as treebanks are necessary for the task of semantic role labeling (SRL). We examine how performance changes without syntactic supervision, comparing both joint and pipelined methods to induce latent syntax.
Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze   +3 more
openaire   +1 more source

Production of antibacterial bacterial cellulose through co-fermentation using Lactiplantibacillus plantarum and Pediococcus pentosaceus enhanced rice soaking wastewater

Industrial Crops and Products
Bacterial cellulose (BC) exhibits a range of exceptional properties, including outstanding purity, superior tensile strength, rapid moisture recovery rate, and excellent biocompatibility, giving it broad application potential.
Jianfen Zhang, Feng Peng, Hong Chen, Guangfa Xie   +3 more
doaj   +1 more source

Surface damage reduction effect of ultra-high working face in Shangwan coal mine

Scientific Reports
Green mining is the basic background of high-quality mining, and source reduction is the most important part, among which the optimization of working face height and length is the most active.
L. I. U. Xinjie, Yang Yingming, Zhao Yongqiang, WANG Xiaolong, Liu Gang, Xu Zhuhe   +5 more
doaj   +1 more source

Vertical zoning characteristics and genesis mechanism of groundwater hydrochemistry: a case study of Xinjie Mining Area

Meitan kexue jishu
Mine water, as the main potential water supply source for coal mine sites, has a good potential for comprehensive reuse. However, the complex and diverse physical and chemical reactions between the coal seam roof-filling aquifers and the surrounding ...
Xudong WANG, Zuyu YAN, Qiang GUO, Suo ZHANG, Jiawei TANG, Yutian HU, Xiaoqing LIU, Jingfeng LI   +7 more
doaj   +1 more source

Enhanced removal of refractory organic pollutants from high-salinity mining wastewater by E-peroxone process

Meitan xuebao
High-salinity mining wastewater is produced in the process of zero discharge. Due to its complex composition and high organic concentration, its treatment has become a worldwide problem.
Anni CHEN, Qiang GUO, Yanying YIN, Jingfeng LI, Yixiang BAO, Min WU, Shizuo YI, Jianbing WANG, Huijiao WANG   +8 more
doaj   +1 more source

A Clause-Based Data Augmentation Method for Low-Resource Neural Machine Translation

IEEE Access
Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low-resource environments due to the scarcity of training data.
Fuxue Li, Mingzhi Shao, Hong Yan, Chuncheng Chi   +3 more
doaj   +1 more source

Low-Resource Unsupervised NMT

, 2020
Unsupervised Machine Translation hasbeen advancing our ability to translatewithout parallel data, but state-of-the-artmethods assume an abundance of mono-lingual data. This paper investigates thescenario where monolingual data is lim-ited as well, finding that current unsuper-vised methods suffer in performance un-der this stricter setting.
Edman, Lukas, Toral Ruiz, Antonio, Noord, van, Gertjan   +2 more
openaire   +1 more source