Zobrazeno 1 - 10
of 281
pro vyhledávání: '"SHI Xiangyu"'
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 10, Pp 87-95 (2023)
Realizing automatic recognition of coal gangue content during the top coal caving process is an important goal of fully mechanized mining automation. The existing methods for automatic recognition of coal gangue content have problems such as low accu
Externí odkaz:
https://doaj.org/article/ba901bd4ffc340fc9347d10b7a5ae7b3
Autor:
Shi, Xiangyu, Ding, Hongcheng, Faroog, Salaar, Dewi, Deshinta Arrova, Abdullah, Shamsul Nahar, Malek, Bahiah A
This study introduces a novel approach for EUR/USD exchange rate forecasting that integrates deep learning, textual analysis, and particle swarm optimization (PSO). By incorporating online news and analysis texts as qualitative data, the proposed PSO
Externí odkaz:
http://arxiv.org/abs/2411.07560
Autor:
Ding, Hongcheng, Zhao, Xuanze, Abdullah, Shamsul Nahar, Dewi, Deshinta Arrova, Jiang, Zixiao, Shi, Xiangyu
Sentiment analysis plays a crucial role in various domains, such as business intelligence and financial forecasting. Large language models (LLMs) have become a popular paradigm for sentiment analysis, leveraging multi-task learning to address specifi
Externí odkaz:
http://arxiv.org/abs/2408.11856
Large language models (LLMs) and multimodal large language models (MLLMs) have shown excellent general capabilities, even exhibiting adaptability in many professional domains such as law, economics, transportation, and medicine. Currently, many domai
Externí odkaz:
http://arxiv.org/abs/2401.04471
Recent works have proven the effectiveness of k-nearest-neighbor machine translation(a.k.a kNN-MT) approaches to produce remarkable improvement in cross-domain translations. However, these models suffer from heavy retrieve overhead on the entire data
Externí odkaz:
http://arxiv.org/abs/2312.07419
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition
Effective object detection in autonomous vehicles is challenged by deployment in diverse and unfamiliar environments. Online Source-Free Domain Adaptation (O-SFDA) offers model adaptation using a stream of unlabeled data from a target domain in an on
Externí odkaz:
http://arxiv.org/abs/2310.19258
Replay attack is one of the most effective and simplest voice spoofing attacks. Detecting replay attacks is challenging, according to the Automatic Speaker Verification Spoofing and Countermeasures Challenge 2021 (ASVspoof 2021), because they involve
Externí odkaz:
http://arxiv.org/abs/2310.05813
Publikováno v:
In Communications in Nonlinear Science and Numerical Simulation January 2025 140 Part 2
Model compression methods can reduce model complexity on the premise of maintaining acceptable performance, and thus promote the application of deep neural networks under resource constrained environments. Despite their great success, the selection o
Externí odkaz:
http://arxiv.org/abs/2201.09884
Autor:
Zhou, Xianlong, Guo, Weilong, Shi, Xiangyu, She, Chunling, Zheng, Zhuoyuan, Zhou, Jie, Zhu, Yusong
Publikováno v:
In Applied Thermal Engineering 15 September 2024 253