Zobrazeno 1 - 10
of 280
pro vyhledávání: '"deep learning neural networks"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Arsenic (As) contamination in drinking water has been highlighted for its environmental significance and potential health implications. Iron-based filters are cost-effective and sustainable solutions for As removal from contaminated water. A
Externí odkaz:
https://doaj.org/article/7ab92709303247bf98885c99f571e7cf
Autor:
Chuanbao He, Min Zhang
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e38865- (2024)
This work aims to solve the problem of low accuracy in recognizing the trajectory of badminton movement. This work focuses on the visual system in badminton robots and conducts side detection and tracking of flying badminton in two-dimensional image
Externí odkaz:
https://doaj.org/article/a3d3ec3a728f44bbb6610e6cf1201066
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The widespread adoption of nonlinear power electronic devices in residential settings has significantly increased the stochasticity and uncertainty of power systems. The original load power data, characterized by numerous irregular, random, and proba
Externí odkaz:
https://doaj.org/article/ca773b65cfcf40bd870bd556f1c47344
Publikováno v:
راهبرد مدیریت مالی, Vol 12, Iss 2, Pp 249-274 (2024)
Predicting the valuation of blockTrade transaction allows the market to evaluate control over companies in an efficient manner.In this research, by measuring the indicators affecting block transactions in three active industries in Tehran Stock Excha
Externí odkaz:
https://doaj.org/article/124cad2830d340f09858dd5fa4ea588c
Autor:
Mohd Herwan Sulaiman, Zuriani Mustaffa
Publikováno v:
Energy and AI, Vol 16, Iss , Pp 100371- (2024)
This paper proposes an integration of recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) in optimizing the weights and biases of deep neural networks (DNN) for forecasting the solar power generation. The study employs a Feed Fo
Externí odkaz:
https://doaj.org/article/3bad5c38105f472c86a67c2a8a91dbc8
Autor:
В.О. Мірошник, С.C. Лоскутов
Publikováno v:
Праці Інституту електродинаміки Національної академії наук України, Vol 2023, Iss 66, Pp 53-57 (2023)
The significant increase in the installed capacity of power plants with renewable energy sources and the imbalance of the financial system of the wholesale electricity market of Ukraine prompted the Ministry of Energy to develop an alter-native suppo
Externí odkaz:
https://doaj.org/article/4542633eb45b4ccfbc76b890fad11e9b
Autor:
Abdelhamid Zaidi
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 1 (2024)
The research landscape on the applications of advanced computational tools (ACTs) such as machine/deep learning and neural network algorithms for energy and power generation (EPG) was critically examined through publication trends and bibliometrics d
Externí odkaz:
https://doaj.org/article/760b4cc6054540308da2a0ed61b8bf1f
Autor:
Eugenia I. Toki, Giorgos Tatsis, Vasileios A. Tatsis, Konstantinos Plachouras, Jenny Pange, Ioannis G. Tsoulos
Publikováno v:
Signals, Vol 4, Iss 2, Pp 401-420 (2023)
Early detection and evaluation of children at risk of neurodevelopmental disorders and/or communication deficits is critical. While the current literature indicates a high prevalence of neurodevelopmental disorders, many children remain undiagnosed,
Externí odkaz:
https://doaj.org/article/7bb7231be6d9430fad2254aef80de8c6
Autor:
Marius Turnea, Andrei Gheorghita, Mariana Rotariu, Mihai Ilea, Dragos Arotaritei, Irina Duduca
Publikováno v:
Balneo and PRM Research Journal, Vol 15, Iss 2, p 708 (2024)
Physiotherapy exercises are necessary to patients to restore their functional abilities in many cases as disabilities, injury, or basic with complementary approach as balneotherapy. Different type of exercised and different template sessions are used
Externí odkaz:
https://doaj.org/article/e719640cdf584f14862d6b502373111b
Autor:
Ching-Ta Lu, Liang-Yu Wang
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5718 (2024)
Producing conference/meeting minutes requires a person to simultaneously identify a speaker and the speaking content during the course of the meeting. This recording process is a heavy task. Reducing the workload for meeting minutes is an essential t
Externí odkaz:
https://doaj.org/article/7550d09d23b649179299505886cd8282