Zobrazeno 1 - 10
of 397
pro vyhledávání: '"ENSEMBLE TECHNIQUES"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract Enormous amounts of data are generated in the form of feedback or comments from online platforms such as social media, e-commerce, education, and programming. This feedback and comments hold significant value for making important strategic d
Externí odkaz:
https://doaj.org/article/a362750cea374f8e87f2cd2205f4c7b4
Autor:
Manish Mathur, Preet Mathur
Publikováno v:
Discover Environment, Vol 2, Iss 1, Pp 1-23 (2024)
Abstract Climate change and other extinction facilitators have caused significant shifts in the distribution patterns of many species during the past few decades. Restoring and protecting lesser-known species may be more challenging without adequate
Externí odkaz:
https://doaj.org/article/bdee0982cb51458984c33a672d06b926
Autor:
Muhammad Umar Khan
Publikováno v:
Sukkur IBA Journal of Emerging Technologies, Vol 6, Iss 2 (2024)
The increasing complexity of contemporary power distribution networks and the necessity to incorporate renewable energy sources have led to the rise in popularity of hybrid power distribution systems. A significant challenge for such systems is the r
Externí odkaz:
https://doaj.org/article/db275ed80ab74b859d0f4505c4615847
Autor:
Haseeb Javed, Hafiz Abdul Muqeet, Amirhossein Danesh, Atiq Ur Rehman, Tahir Javed, Amine Bermak
Publikováno v:
IEEE Access, Vol 12, Pp 141064-141087 (2024)
This review paper examines the transformative role of artificial intelligence (AI) and dynamic ensemble techniques in enhancing healthcare services. By systematically reviewing literature and case studies from the past decade, we explore how these ad
Externí odkaz:
https://doaj.org/article/7ec49cd80ee74b56a1061df9fe4e9d28
Autor:
Hossein Ahmadi, Luca Mesin
Publikováno v:
IEEE Access, Vol 12, Pp 103626-103646 (2024)
Electroencephalography (EEG) based Brain-Computer Interfaces (BCIs) are vital for various applications, yet achieving accurate EEG signal classification, particularly for Motor Imagery (MI) tasks, remains a significant challenge. This study introduce
Externí odkaz:
https://doaj.org/article/b0d452233918432d95b18174ccdbe0b2
Autor:
Hao Huang
Publikováno v:
Systems, Vol 12, Iss 10, p 416 (2024)
This study explores how machine learning can optimize financial risk management for non-profit organizations by evaluating various algorithms aimed at mitigating loan default risks. The findings indicate that ensemble learning models, such as random
Externí odkaz:
https://doaj.org/article/964364eea7ac47d99c7df913ae8b4349
Autor:
Rinkesh Gajera
Publikováno v:
Letters in High Energy Physics, Vol 2024, Iss 1 (2024)
In this paper, historical data from a project control software is utilised for analysis of the possibility that machine learning models can improve the precision of cost estimation. Which individual and ensemble techniques are appropriate for predict
Externí odkaz:
https://doaj.org/article/43ac6cf33a434bf6b903adaeffe6d6ae
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23395- (2024)
The calorific value of any fuel is one of the crucial parameters to grade fuel's burning capability. The bomb calorimeter has historically been used to calculate coal's gross calorific value (GCV). However, for many years, engineers and scientists we
Externí odkaz:
https://doaj.org/article/9dc829359d924afa9f512237dfe11491
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