Zobrazeno 1 - 10
of 2 171
pro vyhledávání: '"graph attention network"'
Autor:
Shan Shan Li, Zhao Ming Liu, Jiao Li, Yi Bo Ma, Ze Yuan Dong, Jun Wei Hou, Fu Jie Shen, Wei Bu Wang, Qi Ming Li, Ji Guo Su
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Thermostability is a fundamental property of proteins to maintain their biological functions. Predicting protein stability changes upon mutation is important for our understanding protein structure–function relationship, and is
Externí odkaz:
https://doaj.org/article/df2058aadb2046688b578e324b035839
Autor:
Xin YANG, Le SU, Yongjun CHENG, Bo WANG, Yuan ZHAO, Xiongwei YANG, Chenglong ZHAO, Xiangang CAO, Jiangbin ZHAO
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 8, Pp 171-181 (2024)
Scraper conveyors are essential coal transportation equipment in underground coal mines, significantly impacting mine production. However, the harsh working environment and long-term use lead to wear and tear, degrading their performance. Therefore,
Externí odkaz:
https://doaj.org/article/958a166266014b0d89008d7ae96d5026
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Background Conducting traditional wet experiments to guide drug development is an expensive, time-consuming and risky process. Analyzing drug function and repositioning plays a key role in identifying new therapeutic potential of approved dr
Externí odkaz:
https://doaj.org/article/6f22110af321478f8be2cb5e6eae81e8
Autor:
Xiaohu Wang, Suo Zhang, Yi Chen, Longying He, Yongmei Ren, Zhen Zhang, Juan Li, Shiqing Zhang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The precise forecasting of air quality is of great significance as an integral component of early warning systems. This remains a formidable challenge owing to the limited information of emission source and the considerable uncertainties inh
Externí odkaz:
https://doaj.org/article/467dd69fe3e14c83b6e417f6b1092dfa
Autor:
SK Khaja Shareef, R. Krishna Chaitanya, Srinivasulu Chennupalli, Devi Chokkakula, K. V. D. Kiran, Udayaraju Pamula, Ramesh Vatambeti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The Internet of Things (IoT) permeates various sectors, including healthcare, smart cities, and agriculture, alongside critical infrastructure management. However, its susceptibility to malware due to limited processing power and security pr
Externí odkaz:
https://doaj.org/article/99cae7d4c0bd47a1b064fb5d9799fce6
Autor:
Ding Tongtong
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 243-53 (2024)
In the field of tourism recommendation systems, accurately recommending scenic spots and routes for users is one of the hot research directions. In order to better consider the complex interaction between user preferences and attraction features, as
Externí odkaz:
https://doaj.org/article/20621f21a93b4da29da590fedd019fa3
Publikováno v:
Beilstein Journal of Organic Chemistry, Vol 20, Iss 1, Pp 1444-1452 (2024)
Although hypervalent iodine(III) reagents have become staples in organic chemistry, the exploration of their isoelectronic counterparts, namely hypervalent bromine(III) and chlorine(III) reagents, has been relatively limited, partly due to challenges
Externí odkaz:
https://doaj.org/article/4cdcce4e26be45b9a81d6d0d02c7de98
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The traffic flow prediction is the key to alleviate traffic congestion, yet very challenging due to the complex influence factors. Currently, the most of deep learning models are designed to dig out the intricate dependency in continuous sta
Externí odkaz:
https://doaj.org/article/c2fe98e0cf8a4cbfb7834326bc536244
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110196- (2024)
In the realm of active distribution networks, the Inverter Interfaced Distributed Generator (IIDG) poses a challenge with its diverse non-linear fault outputs stemming from varied control strategies and objectives. This presents a dilemma, balancing
Externí odkaz:
https://doaj.org/article/39d57ea2c292465fb78e5420a4753838
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110166- (2024)
Conventional model-driven methods are hard to handle large-scale power flow with multivariate uncertainty, variable topology, and massive real-time repetitive calculations. With the ability to deal with non-Euclidean graph-structured power system dat
Externí odkaz:
https://doaj.org/article/85d01a77dd97477aa2c2bd7cee93e26f