Zobrazeno 1 - 10
of 12 504
pro vyhledávání: '"Hyperparameter"'
Autor:
Sana Alazwari, Jamal Alsamri, Mashael M. Asiri, Mashael Maashi, Somia A. Asklany, Ahmed Mahmud
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Lung cancer (LC) is a life-threatening and dangerous disease all over the world. However, earlier diagnoses and treatment can save lives. Earlier diagnoses of malevolent cells in the lungs responsible for oxygenating the human body and expel
Externí odkaz:
https://doaj.org/article/c55187a98f5a441286faff8bc2961809
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract This paper presents a comprehensive approach to harmonizing lunar calendars across different global regions, addressing the long-standing challenge of variations in new crescent Moon sightings that mark the beginning of lunar months. We prop
Externí odkaz:
https://doaj.org/article/7ab736b5c63d4f09a56828e54cb32ec2
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 8, Pp 3221-3232 (2024)
Boosting algorithms have been widely utilized in the development of landslide susceptibility mapping (LSM) studies. However, these algorithms possess distinct computational strategies and hyperparameters, making it challenging to propose an ideal LSM
Externí odkaz:
https://doaj.org/article/6029f72b38414ba7887c01b27b78457c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Solar photovoltaic (PV) systems, integral for sustainable energy, face challenges in forecasting due to the unpredictable nature of environmental factors influencing energy output. This study explores five distinct machine learning (ML) mode
Externí odkaz:
https://doaj.org/article/d0299a2765fc46369b3310007666f053
Autor:
Sulima M. Awad Yousif, Hanan T. Halawani, Ghada Amoudi, Fathea M. Osman Birkea, Arwa M.R. Almunajam, Azhari A. Elhag
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 220-231 (2024)
Chronic kidney disease (CKD) emerges as a global health problem with high morbidity and mortality rates, and it induces other diseases. Patients often fail to notice these diseases because there are no obvious symptoms during the earlier stage of CKD
Externí odkaz:
https://doaj.org/article/b8959a86c3e54a6796b0a1be067a79bb
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 71-82 (2024)
Leveraging deep learning (DL) to inverse problems has proven transformative in predicting financial futures, mainly in stock price prediction. In terms of financial markets, where predicting stock price is a challenging inverse problem, DL methods li
Externí odkaz:
https://doaj.org/article/9f6328ce9f314f8aa389787d9d548726
Autor:
Jawhara Aljabri, Nada Alzaben, Nadhem NEMRI, Saad Alahmari, Shoayee Dlaim Alotaibi, Sana Alazwari, Alaa O. Khadidos, Anwer Mustafa Hilal
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 164-171 (2024)
With the fast development of the Internet of Things (IoTs), phishing attacks are transferring to this domain because of the number of IoT devices and private data they can handle. IoT phishing suggests the malicious practice of targeting IoT devices
Externí odkaz:
https://doaj.org/article/01a35a794b5b456a8e162728ac7b8ca0
Autor:
Hajiar Yuliana, Iskandar, Hendrawan, Sofyan Basuki, M. Reza Hidayat, Atik Charisma, Hurianti Vidyaningtyas
Publikováno v:
Buletin Pos dan Telekomunikasi: Media Komunikasi Ilmiah, Vol 22, Iss 1, Pp 75-90 (2024)
Utilizing of 5G technology has become a major focus in the development of more advanced and efficient telecommunications networks. In this context, 5G coverage prediction becomes an important aspect in network planning to ensure optimal user experien
Externí odkaz:
https://doaj.org/article/6385bf8e80b74f5eaccaf7dcec3cbfb8
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 6, Pp 819-825 (2024)
Short-term load forecasting is generally applied in power system real-time dispatching and day-ahead generation planning, which is of great significance for power system economic dispatching and safe operation of the system. Many researches on short-
Externí odkaz:
https://doaj.org/article/c8fe7e52bf874fef84ddf57a55a7563a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the re
Externí odkaz:
https://doaj.org/article/8063dd7d39564994bac2bcf1fa8f0913