Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Crayfish optimization algorithm"'
Autor:
Rana Alabdan, Bayan Alabduallah, Nuha Alruwais, Munya A. Arasi, Somia A. Asklany, Omar Alghushairy, Fouad Shoie Alallah, Abdulrhman Alshareef
Publikováno v:
Alexandria Engineering Journal, Vol 110, Iss , Pp 153-167 (2025)
The Internet of Things (IoTs) revolutionizes the consumer electronics landscape by presenting a degree of personalization and interactivity that was previously unimaginable. Interconnected devices are now familiar with user characteristics, giving cu
Externí odkaz:
https://doaj.org/article/6e2c6355ddfb41f1bb6c5aaa31f56e9c
Autor:
Asma A Alhashmi, Manal Abdullah Alohali, Nazir Ahmad Ijaz, Alaa O. Khadidos, Omar Alghushairy, Ahmed Sayed
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 16826-16847 (2024)
Agricultural decision-making involves a complex process of choosing strategies and options to enhance resource utilization, overall productivity, and farming practices. Agricultural stakeholders and farmers regularly make decisions at various levels
Externí odkaz:
https://doaj.org/article/fcca63cbd76341428ef99026f4f0b6f3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-33 (2024)
Abstract Renewable energy sources (RESs) have become integral components of power grids, yet their integration presents challenges such as system inertia losses and mismatches between load demand and generation capacity. These issues jeopardize grid
Externí odkaz:
https://doaj.org/article/dcaef241c9234223aead8e5ac1fc4693
Autor:
Aleksa Cuk, Timea Bezdan, Luka Jovanovic, Milos Antonijevic, Milos Stankovic, Vladimir Simic, Miodrag Zivkovic, Nebojsa Bacanin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Parkinson’s disease (PD) is a progressively debilitating neurodegenerative disorder that primarily affects the dopaminergic system in the basal ganglia, impacting millions of individuals globally. The clinical manifestations of the disease
Externí odkaz:
https://doaj.org/article/00eb5b7cde4841f1be1f9b7cdeab651b
Publikováno v:
IEEE Access, Vol 12, Pp 109342-109354 (2024)
Ongoing importance remains placed on parameter estimation in photovoltaic (PV) system design and simulation. Among the diode-based models utilized frequently are those consisting of a single diode, a double diode, and three diode. Minimizing the disc
Externí odkaz:
https://doaj.org/article/7295f76eef3e480e89ded3500f4c33d3
Publikováno v:
IEEE Access, Vol 12, Pp 85635-85660 (2024)
Kidney illness constitutes a category of many serious persistent diseases that can affect an individual. Early diagnosis of this condition is critical for effective therapy. Kidney tumours are the 2nd most common type of urological tumour. They come
Externí odkaz:
https://doaj.org/article/a71e6018b54048b9a72b1b2c2fa785db
Publikováno v:
IEEE Access, Vol 12, Pp 28621-28635 (2024)
The increased utilization of digital instruments like smartphones, Internet of Things (IoT) sensors, cameras, and microphones has resulted in extensive amounts of big data. Inherent challenges associated with big data include significant data dimensi
Externí odkaz:
https://doaj.org/article/e51406d1739048009d891522cc8b8336
Autor:
Jilong Zhang, Yuan Diao
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2641 (2024)
Extreme learning machines (ELMs), single hidden-layer feedforward neural networks, are renowned for their speed and efficiency in classification and regression tasks. However, their generalization ability is often undermined by the random generation
Externí odkaz:
https://doaj.org/article/e6393bb681274b37a1ed81672e941ca1
Publikováno v:
Machines, Vol 12, Iss 8, p 534 (2024)
Vibration-assisted machining, known as hybrid processing technology, offers several benefits over conventional machining methods. However, developing mechanical structure designs to generate a non-resonant frequency source remains challenging. The ob
Externí odkaz:
https://doaj.org/article/7f084c81e8c7459c832f348e7f7ee3b8
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2364 (2024)
Feature selection (FS) is a crucial phase in data mining (DM) and machine learning (ML) tasks, aimed at removing uncorrelated and redundant attributes to enhance classification accuracy. This study introduces an improved binary crayfish optimization
Externí odkaz:
https://doaj.org/article/948b7d0e96f44039895ab8711d6b4d97