Zobrazeno 1 - 10
of 1 193
pro vyhledávání: '"FNN"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract With the advent of the information age, the evolution of aerospace technology has rendered high-altitude flights increasingly common and vital. Nonetheless, the fault diagnosis of the pressure chamber, a crucial aspect of ensuring flight saf
Externí odkaz:
https://doaj.org/article/bd5200914df14511a8ba57650ad17098
Publikováno v:
Malaysian Journal of Science and Advanced Technology, Vol 4, Iss 4 (2024)
A new era of connectedness has been ushered in by the increasing number of Internet of Things (IoT) devices, which present both enormous security issues and limitless opportunities for creativity. With the use of a deep learning-powered intrusion det
Externí odkaz:
https://doaj.org/article/314a4932f30940788d5f47a931a97efb
Autor:
Hesham A. Hefny, Nelly S. Amer
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-23 (2024)
Abstract An interval type-2 (IT2) mutual subsethood Cauchy fuzzy neural inference system has been proposed in this paper. The network architecture consists of 3-layers with all connection weights being IT2 Cauchy fuzzy membership functions (CMFs). Th
Externí odkaz:
https://doaj.org/article/4e1eb36af6754acd82d1e5cde9d9f055
Publikováno v:
IEEE Access, Vol 12, Pp 164942-164952 (2024)
This paper provides a Self-adjustment Interval Type II Neural Network (SAIT2NN) method combined with Super-Twisting sliding mode control (STSMC), aiming at solving the harmonic current problem and improving power quality in an active power filter (AP
Externí odkaz:
https://doaj.org/article/b2193933df5b479c85f1741bd630d75c
Autor:
Gerard Portal, Merce Vall-Llossera, Carlos Lopez-Martinez, Adriano Camps, Miriam Pablos, Alberto Alonso-Gonzalez, Thomas Jagdhuber, Amir Mustofa Irawan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15543-15566 (2024)
Understanding soil moisture (SM) at high spatio-temporal resolution provides crucial insights across various societal disciplines due to its direct impact on environmental and natural disaster monitoring, weather forecasting, agricultural productivit
Externí odkaz:
https://doaj.org/article/d9b481e7d10d49feb6d20d7aac57d1ef
Autor:
Rajesh Chatterjee, Mohammad Amir Khusru Akhtar, Dinesh Kumar Pradhan, Falguni Chakraborty, Mohit Kumar, Sahil Verma, Ruba Abu Khurma, Maribel Garcia-Arenas
Publikováno v:
IEEE Access, Vol 12, Pp 20396-20408 (2024)
The medical field is witnessing rapid adoption of artificial intelligence (AI) and machine learning (ML), revolutionizing disease diagnosis and treatment management. Researchers explore how AI and ML can optimize medical decision-making, promising to
Externí odkaz:
https://doaj.org/article/378df67571d04c94a804960e2bc81f5b
Publikováno v:
Defence Technology, Vol 29, Iss , Pp 66-79 (2023)
In order to improve the performance of UAV’s autonomous maneuvering decision-making, this paper proposes a decision-making method based on situational continuity. The algorithm in this paper designs a situation evaluation function with strong guida
Externí odkaz:
https://doaj.org/article/734d8fac635940a4ab85a760b0e038cd
Autor:
Wang Ying
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Technology-enabled snow and ice sports data optimization facilitates the development of snow and ice sports training strategies and provides support for ensuring the safety and enhancing the training effect of youth snow and ice sports. This paper de
Externí odkaz:
https://doaj.org/article/12bc50a54389437a90668e72b92fd9d2
Autor:
Zhang Dongsheng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
At the present stage, the evaluation of human motor function is mainly semi-quantitative, which only evaluates the overall motor function from the degree of joint mobility and muscle status, but the size of muscle strength cannot be obtained by direc
Externí odkaz:
https://doaj.org/article/8d0a3835ad8a4eafbfa7e3632edea0b5