Zobrazeno 1 - 10
of 8 649
pro vyhledávání: '"Meta learning"'
Autor:
Vajratiya Vajrobol, Geetika Jain Saxena, Sanjeev Singh, Amit Pundir, Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 63-73 (2025)
The increasing use of Automatic Dependent Surveillance-Broadcast (ADS-B) technology in flight control systems has created many serious concerns.These weaknesses threaten the security and safety of our aviation industry. Therefore, to enhance aviation
Externí odkaz:
https://doaj.org/article/c72d6ee8361744beae143faa92f76e97
Autor:
Hongping Sun, Biao Kong
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-20 (2024)
Abstract In the current era of global economic integration and digital economy development, multilingual English translation plays a crucial role in cultural exchange. Traditional translation models have poor adaptability and fitting ability. To impr
Externí odkaz:
https://doaj.org/article/9838d30495294ebe9d04170db413068d
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-19 (2024)
Abstract Malware classification has been successful in utilizing machine learning methods. However, it is limited by the reliance on a large number of high-quality labeled datasets and the issue of overfitting. These limitations hinder the accurate c
Externí odkaz:
https://doaj.org/article/a734a570de5544f5a5eadd8ca9c010b6
Publikováno v:
Hangkong bingqi, Vol 31, Iss 5, Pp 110-114 (2024)
Addressing the numerous limitations in solid motor performance experiments for aircraft power systems, such as high costs, specialized equipment requirements, specific experimental environments, and high risks, this paper proposes an artificial intel
Externí odkaz:
https://doaj.org/article/860dfcaa3dd44b418d46808191ae009a
Autor:
Sandeep Kumar, Amit Sharma, Vikrant Shokeen, Ahmad Taher Azar, Syed Umar Amin, Zafar Iqbal Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Modern natural language processing (NLP) state-of-the-art (SoTA) deep learning (DL) models have hundreds of millions of parameters, making them extremely complex. Large datasets are required for training these models, and while pretraining h
Externí odkaz:
https://doaj.org/article/4b576478175e40a78d55f7f4e65df8df
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-19 (2024)
Abstract Nuclear receptors (NRs) play a crucial role as biological targets in drug discovery. However, determining which compounds can act as endocrine disruptors and modulate the function of NRs with a reduced amount of candidate drugs is a challeng
Externí odkaz:
https://doaj.org/article/c22421c89d3a4596ba148a105dceb718
Publikováno v:
水下无人系统学报, Vol 32, Iss 4, Pp 668-677 (2024)
Cross-domain Ad Hoc network is a network that self-organizes nodes on different media and adapts to network topology. In cross-domain communication networks, direct measurement technology helps obtain accurate end-to-end network traffic information.
Externí odkaz:
https://doaj.org/article/75a344d2643245518c12346122399166
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 3, Pp 55-66 (2024)
Neural network object detectors are increasingly being used for aerial video analysis, with a growing demand for onboard processing on UAVs and other limited resources. However, the vulnerability of neural networks to adversarial noise, out-of-distri
Externí odkaz:
https://doaj.org/article/fb0518b83e8c4af6909e2c785f31707d
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Detailed and accurate statistics on crop productivity are key to inform decision-making related to sustainable food production and supply ensuring global food security. However, annual and high-resolution crop yield data provided by official agricult
Externí odkaz:
https://doaj.org/article/77def4b21fca44c1a6c6d1bdc799879c
Autor:
Yong Song, Yingxu Song, Chengnan Wang, Linwei Wu, Weicheng Wu, Yuan Li, Sicheng Li, Aiqing Chen
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
This study aims to evaluate the effectiveness of various individual machine learning and their ensemble techniques such as Stacking, Voting and Meta-learning in landslide susceptibility assessment taking Poyang, Jiangxi, China as an example. Multi-so
Externí odkaz:
https://doaj.org/article/1a3c2194745d44c89e4ee05321f62eaa