Zobrazeno 1 - 10
of 260
pro vyhledávání: '"pelican optimization algorithm"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2954-2968 (2024)
Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm (POA), a pelican optimization algorithm combining unscented sigma point mutation and c
Externí odkaz:
https://doaj.org/article/51ad2e682779486885596fa954e8cf10
Publikováno v:
Data Technologies and Applications, 2023, Vol. 58, Issue 3, pp. 447-471.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-10-2022-0408
Autor:
Wafa Sulaiman Almukadi, Fadwa Alrowais, Muhammad Kashif Saeed, Abdulsamad Ebrahim Yahya, Ahmed Mahmud, Radwa Marzouk
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Assisted living facilities cater to the demands of the elderly population, providing assistance and support with day-to-day activities. Fall detection is fundamental to ensuring their well-being and safety. Falls are frequent among older per
Externí odkaz:
https://doaj.org/article/1fd08d1562b444d383ee94ca15f2171a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract This paper introduces a novel multi-stage FOPD(1 + PI) controller for DC motor speed control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID controllers often fall short in handling the complex dynamics of DC motor
Externí odkaz:
https://doaj.org/article/5a132deea1d149089cfd8fa5858511eb
Autor:
Taher Al-Shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman, T. Kuntavai, R. G. Vidhya, C. Dhanamjayulu, Shubhi Shukla, Baseem Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract The rise of Electric Vehicles (EVs) has introduced significant advancement and evolution in the electricity market. In smart transportation, the EVs have earned more popularity because of its numerous benefits including lower carbon footprin
Externí odkaz:
https://doaj.org/article/a0f298e7e6634528a8ea6cfe00692d82
Autor:
Asmita Ajay Rathod, Balaji Subramanian
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
In order to optimize the performance of a Solar Photovoltaic (PV) system, it is necessary to develop an appropriate PV cell model and accurately determine the unknown parameters associated with the model. The process of extracting parameters for PV m
Externí odkaz:
https://doaj.org/article/a8cf89d327de4261b8acce98f26d19df
Autor:
Guoping Zhou, Qiyu He, Xiaoli Liu, Xinghua Kai, Weikang Cao, Junning Ding, Bufeng Zhuang, Shuhua Xu, Myo Thwin
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35854- (2024)
This paper presents an innovative framework for the automated diagnosis of gastric cancer using artificial intelligence. The proposed approach utilizes a customized deep learning model called MobileNetV2, which is optimized using a Dynamic variant of
Externí odkaz:
https://doaj.org/article/15a6dd4980ec4224a90e87dde9fd2264
Publikováno v:
Jurnal Riset Informatika, Vol 6, Iss 2, Pp 119-130 (2024)
This study addresses the problem of plant diseases and the difficulty of detecting them, and it presents a unique technique for the automatic detection of tea leaf diseases by combining neural networks and optimization techniques. Our research uses a
Externí odkaz:
https://doaj.org/article/d510093236bd4cb5bedcbcae176311fb
Autor:
Thavavel Vaiyapuri, Ghada Alharbi, Santhi Muttipoll Dharmarajlu, Yassine Bouteraa, Sanket Misra, Janjhyam Venkata Naga Ramesh, Sachi Nandan Mohanty
Publikováno v:
IEEE Access, Vol 12, Pp 143016-143028 (2024)
Chronic diseases, such as diabetes, cause serious challenges worldwide due to their long-lasting effect on health and quality of life. Diabetes, considered a high glucose level, requires continuous management to avoid complications like kidney failur
Externí odkaz:
https://doaj.org/article/55fb9869e3d74766960389b023289520
Autor:
Lichuan Hui, Jianfei Chen
Publikováno v:
IEEE Access, Vol 12, Pp 79802-79814 (2024)
The volatility of contact resistance directly reflects the fluctuation of friction pairs in the pantograph-catenary system, so this paper proposes a new prediction model of contact resistance volatility based on an improved Pelican optimization algor
Externí odkaz:
https://doaj.org/article/3e4b908dc14446e2a074c3ed62cbe55a