Zobrazeno 1 - 10
of 1 304
pro vyhledávání: '"explainable artificial intelligence (XAI)"'
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 491-510 (2025)
The high prevalence of fraud in contemporary financial transactions necessitates advanced anomaly detection systems to address the significant imbalance between legitimate and anomalous transactions in real-time datasets. To address this issue, our s
Externí odkaz:
https://doaj.org/article/e0f8ee76776c4573bf054092e529f440
Publikováno v:
Underground Space, Vol 17, Iss , Pp 226-245 (2024)
We conducted a study to evaluate the potential and robustness of gradient boosting algorithms in rock burst assessment, established a variational autoencoder (VAE) to address the imbalance rock burst dataset, and proposed a multilevel explainable art
Externí odkaz:
https://doaj.org/article/43bd135836774e6a8f26fd3bd4cabfb7
Autor:
Haytham Elmousalami, Ibrahim Sakr
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 10, Pp 2735-2752 (2024)
Abstract Lost circulation and mud losses cause 10 to 20% of the cost of drilling operations under extreme pressure and temperature conditions. Therefore, this research introduces an integrated system for an automated lost circulation severity classif
Externí odkaz:
https://doaj.org/article/2d7ac354b794404dbc573e87205841d2
Autor:
Khadijeh Moulaei, Mohammad Reza Afrash, Mohammad Parvin, Shahin Shadnia, Mitra Rahimi, Babak Mostafazadeh, Peyman Erfan Talab Evini, Babak Sabet, Seyed Mohammad Vahabi, Amirali Soheili, Mobin Fathy, Arya Kazemi, Sina Khani, Seyed Mohammad Mortazavi, Sayed Masoud Hosseini
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) greatly aid in a
Externí odkaz:
https://doaj.org/article/017a34d5e9964b9695b184880da0c303
Publikováno v:
Ecological Indicators, Vol 169, Iss , Pp 112886- (2024)
Birds are indicators of biodiversity and ecosystem health and play an essential role in maintaining the balance of natural ecosystems. However, urbanization, deforestation, and technological advancements have severely affected bird habitats, leading
Externí odkaz:
https://doaj.org/article/8c4fe336eb7c45c6ba5630bc52876ef8
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103171- (2024)
The Internet of Vehicles (IoV) is a network of interconnected vehicles that use modern communication technologies to communicate with each other and the surrounding infrastructure. The IoV is a novel network that experiences a continuous emergence an
Externí odkaz:
https://doaj.org/article/39713b37da2f4a8ea6a074e5192d01d1
Autor:
Holger Robert Maier, Firouzeh Rosa Taghikhah, Ehsan Nabavi, Saman Razavi, Hoshin Gupta, Wenyan Wu, Douglas A.G. Radford, Jiajia Huang
Publikováno v:
Journal of Hydrology X, Vol 25, Iss , Pp 100185- (2024)
Explainable Artificial Intelligence (XAI) offers the promise of being able to provide additional insight into complex hydrological problems. As the “new kid on the block”, these methods are embraced enthusiastically and often viewed as offering s
Externí odkaz:
https://doaj.org/article/c89a515b317f489da8b7f40ded0ca7d9
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
Autor:
Umaa Mahesswari G, Uma Maheswari P
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39205- (2024)
PolyCystic Ovarian Syndrome (PCOS) poses significant challenges to women's reproductive health due to its diagnostic complexity arising from a variety of symptoms, including hirsutism, anovulation, pain, obesity, hyperandrogenism, and oligomenorrhea,
Externí odkaz:
https://doaj.org/article/b8f2af9a55ca47c4a870e8a65c43501a
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract The use of deep learning for identifying defects in medical images has rapidly emerged as a significant area of interest across various medical diagnostic applications. The automated recognition of Posterior Fossa Tumors (PFT) in Magnetic Re
Externí odkaz:
https://doaj.org/article/4b09365cd51a4f058028fe462aacceae