Zobrazeno 1 - 10
of 1 240
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:
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
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
Autor:
Waleed Bin Inqiad, Elena Valentina Dumitrascu, Robert Alexandru Dobre, Naseer Muhammad Khan, Abbas Hussein Hammood, Sadiq N. Henedy, Rana Muhammad Asad Khan
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36841- (2024)
The design of masonry structures requires accurate estimation of compressive strength (CS) of hollow concrete masonry prisms. Generally, the CS of masonry prisms is determined by destructive laboratory testing which results in time and resource wasta
Externí odkaz:
https://doaj.org/article/9a81a7096e754f6ab47ba05310250c60
Autor:
Hadeel Alharbi
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Emotional recognition is a way of detecting, evaluating, interpreting, and responding to others' emotional states and feelings, which might range from delight to fear to disgrace. There is increasing interest in the domains of psychological computing
Externí odkaz:
https://doaj.org/article/b58d9a4c36e945ef9115f37c32ff9c4b
Autor:
Juan José Oropeza-Valdez, Cristian Padron-Manrique, Aarón Vázquez-Jiménez, Xavier Soberon, Osbaldo Resendis-Antonio
Publikováno v:
Frontiers in Molecular Biosciences, Vol 11 (2024)
The COVID-19 pandemic, caused by SARS-CoV-2, has led to significant challenges worldwide, including diverse clinical outcomes and prolonged post-recovery symptoms known as Long COVID or Post-COVID-19 syndrome. Emerging evidence suggests a crucial rol
Externí odkaz:
https://doaj.org/article/61e4693ea256429397f3a82ea009f1dd
Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Early detection of Alzheimer's disease (AD) is vital for effective treatment, as interventions are most successful in the disease's early stages. Combining Magnetic Resonance Imaging (MRI) with artificial intelligence (AI) offers significant potentia
Externí odkaz:
https://doaj.org/article/1081d997907b432eb1e1bc83f9529f91