Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Gradient boosting Algorithm"'
Publikováno v:
BMC Chemistry, Vol 18, Iss 1, Pp 1-13 (2024)
Abstract This study represents a comparison among the performances of four multivariate procedures: partial least square (PLS) and artificial neural networks (ANN) in addition to support vector regression (SVR) and extreme gradient boosting (XG Boost
Externí odkaz:
https://doaj.org/article/9f1c1343a9e74c53b0b827fd99b2c718
Autor:
S. Priyadharshini, K. Ramkumar, Subramaniyaswamy Vairavasundaram, K. Narasimhan, S. Venkatesh, Rengarajan Amirtharajan, Ketan Kotecha
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 568-582 (2024)
Parkinson's disease (PD) is the second most prevalent neurological disorder, predominantly affecting older people. With no existing cure, the early detection of PD, where symptoms are not entirely evident but indicative of the disease's onset, is cri
Externí odkaz:
https://doaj.org/article/9c7940e791c54db28c749ce327a944d7
Publikováno v:
Accounting Research Journal, 2024, Vol. 37, Issue 4, pp. 418-435.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ARJ-10-2023-0304
Autor:
Xu Liying, Han Ruiyi, Yan Xuehong, Han Xue, Li Zhenlin, Wang Hui, Xue Linfu, Guo Yuhang, Mo Xiuwen
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 916-27 (2024)
The identification of shale lithology is of great importance for the exploration and development of shale reservoirs. The lithology and mineralogical composition of shale are closely related, but a small number of laboratory core analysis samples are
Externí odkaz:
https://doaj.org/article/15bdeeceadca486390f7eca17a21d613
Autor:
Harsh Nagar, Rajendra Machavaram, Ambuj, Peeyush Soni, Subhajit Saha, T. Subhash Chandra Bose
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Knowing tractor drawbar pull is crucial to ensure the tractor can handle the required workload efficiently and safely, preventing soil damage and optimising field productivity. The present study proposes a novel approach for tractor drawbar pull pred
Externí odkaz:
https://doaj.org/article/c0a3baaad9104e48af44c4e409709736
Autor:
Olaniyi Abiodun Ayeni, Ibitola Adejumo
Publikováno v:
Buana Information Technology and Computer Sciences, Vol 5, Iss 2, Pp 74-84 (2024)
With the advent and subsequent explosion of the internet, global connectivity has been achieved, and is on the rise. This provides a host of advantages such as connectivity and communication, information broadcast and transmission, amongst others. Th
Externí odkaz:
https://doaj.org/article/bc1e47a9b24943e487a5f878c7cce176
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1213 (2024)
Ionospheric scintillation is a pressing issue in space weather studies due to its diverse effects on positioning, navigation, and timing (PNT) systems. Developing an accurate and timely prediction model for this event is crucial. In this work, we dev
Externí odkaz:
https://doaj.org/article/53585aa945f24ddd9c00666ee670140f
Autor:
Chico Hermanu Brillianto Apribowo, Sasongko Pramono Hadi, Franscisco Danang Wijaya, Mokhammad Isnaeni Bambang Setyonegoro, Sarjiya
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101709- (2024)
The growth of battery energy storage systems (BESS) is caused by the variability and intermittent nature of high demand and renewable power generation at the network scale. In the context of BESS, Lithium-ion (Li-ion) battery occupies a crucial posit
Externí odkaz:
https://doaj.org/article/81be6e336e14402c80fb86221fe34894
Autor:
Nadiasadat Taghavi Razavizadeh, Maryam Salari, Mostafa Jafari, Ehsan Sabaghian, Vahid Ghavami
Publikováno v:
Journal of Biostatistics and Epidemiology, Vol 9, Iss 3 (2023)
Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19. This method can assist physicians in making treatment decisions that improve survival rates and
Externí odkaz:
https://doaj.org/article/101467ecd14a4b9b9d357098a75c8465
Autor:
Ekaterina V. Orlova
Publikováno v:
Algorithms, Vol 17, Iss 7, p 315 (2024)
The growth in the number of people suffering from eye diseases determines the relevance of research in the field of diagnosing retinal pathologies. Artificial intelligence models and algorithms based on measurements obtained via electrophysiological
Externí odkaz:
https://doaj.org/article/b5c35438ed814f5c906e28418a674db8