Zobrazeno 1 - 10
of 1 725
pro vyhledávání: '"adaptive neuro-fuzzy inference system (anfis)"'
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:
Petroleum Research, Vol 9, Iss 2, Pp 176-192 (2024)
In the petroleum industry, the analysis of petrophysical parameters is critical for efficient reservoir management, production optimization, development strategies, and accurate hydrocarbon reserve estimations. Over recent years, the integration of m
Externí odkaz:
https://doaj.org/article/f74f7d6f1cd14318ba1a60b4b51950f3
Autor:
Badreddine Babes, Samia Latrèche, Amar Bouafassa, Oualid Aissa, Abd Essalam Badoud, Mabrouk Khemliche, Mohit Bajaj, Ievgen Zaitsev
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract This paper presents an innovative control scheme designed to significantly enhance the power factor of AC/DC boost rectifiers by integrating an adaptive neuro-fuzzy inference system (ANFIS) with predictive current control. The innovative con
Externí odkaz:
https://doaj.org/article/038d156bca5f4ccaa8b369cd6607d464
Publikováno v:
چشمانداز مدیریت صنعتی, Vol 14, Iss 1, Pp 114-134 (2024)
Introduction and Purpose: The current need for expanding accurate and rapid quality assurance to provide high-quality and safe manufactured products is essential. Quality focuses on internal issues that control and improve internal processes, aiming
Externí odkaz:
https://doaj.org/article/a5672dd1b4d44e3aaeaa40a09ca23623
Publikováno v:
IEEE Access, Vol 12, Pp 156878-156892 (2024)
This paper presents an artificial intelligence of things (AIoT) based intelligent water resource control (IWRC) system for hydroponic lettuce and fingerroot farms. Three input variables temperature, humidity, and amount of sunlight were used to analy
Externí odkaz:
https://doaj.org/article/96c4ddb7566a41169c178a92c9827097
Autor:
Suresh Kumar Srichandan, Santosh Kumar Majhi, Sudarson Jena, Kaushik Mishra, Radhakrishna Bhat
Publikováno v:
IEEE Access, Vol 12, Pp 56730-56748 (2024)
The fast proliferation of internet-enabled devices generates massive amounts of data every day from every aspect of life. These internet-enabled devices lack the storage, processing power, and capacity necessary to handle and store this massive amoun
Externí odkaz:
https://doaj.org/article/e63b47287c98411abe1b5492e726b900
Autor:
Jim George, Geetha Mani
Publikováno v:
IEEE Access, Vol 12, Pp 3222-3239 (2024)
Sliding mode control is a promising approach for designing controllers for systems with empirical characteristics. This is a favored nonlinear control strategy that effectively addresses the uncertainties present in derived mathematical models. To fu
Externí odkaz:
https://doaj.org/article/29a4c02589654bf186d0a5627b77e28a
Autor:
Akram Pasha, Syed Thouheed Ahmed, Ranjith Kumar Painam, Sandeep Kumar Mathivanan, Karthikeyan P, Saurav Mallik, Hong Qin
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30241- (2024)
Parkinson's disease (PD) is an age-related neurodegenerative disorder characterized by motor deficits, including tremor, rigidity, bradykinesia, and postural instability. According to the World Health Organization, about 1 % of the global population
Externí odkaz:
https://doaj.org/article/cb417a9155c348c0ad282a89e6417cd3
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 5, Pp 102686- (2024)
Drought monitoring and forecasting are essential for efficient water resources management. The present research aims to provide a reliable prediction of the effective Reconnaissance Drought Index (eRDI) based on seven evaporation stations in the sout
Externí odkaz:
https://doaj.org/article/d00008be1da144eb9e639c5929764ced
Autor:
Junting Nie, Hossein Ahmadi Dehrashid
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e29182- (2024)
This research suggests two novel metaheuristic algorithms to enhance student performance: Harris Hawk's Optimizer (HHO) and the Earthworm Optimization Algorithm (EWA). In this sense, a series of adaptive neuro-fuzzy inference system (ANFIS) proposed
Externí odkaz:
https://doaj.org/article/a3bcac21100847da9268992bff350ab6