Zobrazeno 1 - 10
of 10 021
pro vyhledávání: '"AN Shigang"'
Autor:
Xu, Zelin, Ren, Jie, Zhang, Yupu, Ondina, Jose Maria Gonzalez, Olabarrieta, Maitane, Xiao, Tingsong, He, Wenchong, Liu, Zibo, Chen, Shigang, Smith, Kaleb, Jiang, Zhe
Nearly 900 million people live in low-lying coastal zones around the world and bear the brunt of impacts from more frequent and severe hurricanes and storm surges. Oceanographers simulate ocean current circulation along the coasts to develop early wa
Externí odkaz:
http://arxiv.org/abs/2410.14952
Autor:
Liu, Shigang, Sabir, Bushra, Jang, Seung Ick, Kansal, Yuval, Gao, Yansong, Moore, Kristen, Abuadbba, Alsharif, Nepal, Surya
Large Language Models (LLMs) have shown remarkable potential in code generation, making them increasingly important in the field. However, the security issues of generated code have not been fully addressed, and the usability of LLMs in code generati
Externí odkaz:
http://arxiv.org/abs/2410.14321
Autor:
AN Shigang
Publikováno v:
Meikuang Anquan, Vol 51, Iss 12, Pp 75-78 (2020)
In order to solve the fire control problems of the gob overlying the shallow, spontaneous combustion, short distance and near horizontal coal seams, taking the coal spontaneous combustion of the gob overlying the 22305 working face of Bulianta Coal M
Externí odkaz:
https://doaj.org/article/5b67b4fab3754c1e9f9362f756437368
Long-term traffic flow forecasting plays a crucial role in intelligent transportation as it allows traffic managers to adjust their decisions in advance. However, the problem is challenging due to spatio-temporal correlations and complex dynamic patt
Externí odkaz:
http://arxiv.org/abs/2408.06445
Traffic forecasting uses recent measurements by sensors installed at chosen locations to forecast the future road traffic. Existing work either assumes all locations are equipped with sensors or focuses on short-term forecast. This paper studies part
Externí odkaz:
http://arxiv.org/abs/2408.02689
Autor:
Liu, Shigang, Cao, Di, Kim, Junae, Abraham, Tamas, Montague, Paul, Camtepe, Seyit, Zhang, Jun, Xiang, Yang
Recently, deep learning has demonstrated promising results in enhancing the accuracy of vulnerability detection and identifying vulnerabilities in software. However, these techniques are still vulnerable to attacks. Adversarial examples can exploit v
Externí odkaz:
http://arxiv.org/abs/2407.19216
Publikováno v:
Gong-kuang zidonghua, Vol 45, Iss 5, Pp 22-25 (2019)
In view of goaf spontaneous combustion prevention of 12401 fully mechanized working face with large mining height in Shangwan Coal Mine, CO is determined as prediction index gas of coal spontaneous combustion and C2H4 is used as auxiliary index gas t
Externí odkaz:
https://doaj.org/article/7fc3c2589820416ca40b65d4f4455205
Disconnectivity and distortion are the two problems which must be coped with when processing 360 degrees equirectangular images. In this paper, we propose a method of estimating the depth of monocular panoramic image with a teacher-student model fusi
Externí odkaz:
http://arxiv.org/abs/2405.16858
Publikováno v:
Gong-kuang zidonghua, Vol 43, Iss 11, Pp 11-15 (2017)
Existing gas monitoring of fixed place and mobile situation in coal mine underground is realized by safety monitoring system and intelligent gas inspection system separately. Monitoring data in the two systems has no relevance. Application status of
Externí odkaz:
https://doaj.org/article/75b714019ef24532b4106a033edbc83e
Autor:
He, Wenchong, Jiang, Zhe, Xiao, Tingsong, Xu, Zelin, Chen, Shigang, Fick, Ronald, Medina, Miles, Angelini, Christine
Transformers are widely used deep learning architectures. Existing transformers are mostly designed for sequences (texts or time series), images or videos, and graphs. This paper proposes a novel transformer model for massive (up to a million) point
Externí odkaz:
http://arxiv.org/abs/2311.04434