Zobrazeno 1 - 10
of 35 108
pro vyhledávání: '"Inference system"'
Autor:
Palaniappan, Umayal, Suganthi, L.
Publikováno v:
International Journal of Productivity and Performance Management, 2023, Vol. 73, Issue 8, pp. 2441-2479.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPPM-05-2023-0214
Publikováno v:
Clinical eHealth, Vol 7, Iss , Pp 77-91 (2024)
Accurate disease monitoring is an extremely time-consuming task for medical experts and technocrats involved, requiring technical support for diagnostic systems. To overcome this situation, we developed an Internet of Medical Things (IoMT) based on T
Externí odkaz:
https://doaj.org/article/0025330c4a6f4078b101a0f958c90e01
Autor:
Shaymaa Alsamia, Edina Koch
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper introduces a novel approach using Clustered Artificial Neural Networks (CLANN) to address the challenge of developing predictive models for multimodal dataset with extreme parameter values. The CLANN method strategically decompose
Externí odkaz:
https://doaj.org/article/8b9168b18ce44d0c969a8ee20022dbcb
Autor:
A. Saravanan, S. Rama Sree, M. Sreenivasa Reddy, Elumalai PV, Krishnasamy Karthik, Ashok Kumar Cheeli, Nasim Hasan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Four distinct neural models were used to evaluate the efficiency of a V-trough solar water heater (VTSWH) equipped with square-cut twisted tape (SCTT) and V-cut twisted tape (VCTT) at two different twist ratios, 3 and 5. The objective of thi
Externí odkaz:
https://doaj.org/article/9ccd81e8e11f4735bf5f8d391ec8ca5f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Fuel cells are the most promising energy source for the future energy demand. The automobile industry is looking at the integration of fuel cells with electric vehicles (EV). This integration comes with many challenges like dynamic operation
Externí odkaz:
https://doaj.org/article/21597785e7254d7dba0452b513b2abed
Autor:
George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho, Mustapha Muhammad Lawan, Edward Dintwa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)
Abstract This research explores the application of Artificial Intelligence (AI) techniques to assess the mechanical properties of geopolymer concrete made from a blend of Banana Peel-Ash (BPA) and Sugarcane Bagasse Ash (SCBA), using a sodium silicate
Externí odkaz:
https://doaj.org/article/4c25ddcaf77b4d53aa0d9bcac9635c8d
Autor:
M. Priya and R. Kumaravel
Publikováno v:
Nature Environment and Pollution Technology, Vol 23, Iss 3, Pp 1775-1782 (2024)
Aquatic ecosystems that are subject to urbanization and environmental changes, such as the Kapaleeswarar and Chitrakulam tanks, depend on evaluating water quality. Their complicated data present challenges for conventional approaches. The usefulness
Externí odkaz:
https://doaj.org/article/630108402743497a9cf07c43481bc2c6
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract This article presents an investment recommender system based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) and pre-trained weights from a Multimodal Neural Network (MNN). The model is designed to support the investment process for the
Externí odkaz:
https://doaj.org/article/7bc2a1cb480148a7a6dfbaf63582ee2e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract To improve dynamic performance and steady-state accuracy of position leap control of the direct current (DC) servo motor, a fuzzy inference system (FIS) enabled artificial neural network (ANN) feedforward compensation control method is propo
Externí odkaz:
https://doaj.org/article/a082ced71aae41399591fcd7f4adf8e8