Results 1 to 10 of about 230 (149)

SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm [PDF]

PeerJ Computer Science, 2023
The Internet of Things (IoT) includes billions of different devices and various applications that generate a huge amount of data. Due to inherent resource limitations, reliable and robust data transmission for a huge number of heterogenous devices is one
Ramin Mohammadi, Sedat Akleylek, Ali Ghaffari   +2 more
doaj   +6 more sources

An Optimized Nature-Inspired Metaheuristic Algorithm for Application Mapping in 2D-NoC [PDF]

Sensors, 2021
Mapping application task graphs on intellectual property (IP) cores into network-on-chip (NoC) is a non-deterministic polynomial-time hard problem. The evolution of network performance mainly depends on an effective and efficient mapping technique and ...
Saleha Sikandar, Naveed Khan Baloch, Fawad Hussain, Waqar Amin, Yousaf Bin Zikria, Heejung Yu   +5 more
doaj   +2 more sources

Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications [PDF]

MethodsX
The integration of IoT and deep learning has revolutionized real-time monitoring systems, particularly in public health applications such as face mask detection.
Parul Dubey, Vinay Keswani, Pushkar Dubey, Gunjan Keswani, Dhananjay Bhagat   +4 more
doaj   +2 more sources

Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer [PDF]

Heliyon
This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise.
Saad Ali Amin, Mashal Kasem Sulieman Alqudah, Saleh Ateeq Almutairi, Rasha Almajed, Mohammad Rustom Al Nasar, Hamzah Ali Alkhazaleh   +5 more
doaj   +2 more sources

Energy-Efficient Clustering and Routing Using ASFO and a Cross-Layer-Based Expedient Routing Protocol for Wireless Sensor Networks [PDF]

Sensors, 2023
Today’s critical goals in sensor network research are extending the lifetime of wireless sensor networks (WSNs) and lowering power consumption. A WSN necessitates the use of energy-efficient communication networks.
Venkatesan Cherappa, Thamaraimanalan Thangarajan, Sivagama Sundari Meenakshi Sundaram, Fahima Hajjej, Arun Kumar Munusamy, Ramalingam Shanmugam   +5 more
doaj   +2 more sources

Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data [PDF]

Scientific Reports
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading
Lella Kranthi Kumar, K. G. Suma, Pamula Udayaraju, Venkateswarlu Gundu, Srihari Varma Mantena, B. N. Jagadesh   +5 more
doaj   +2 more sources

Optimization of Multi-Objective Problems for Sailfish-Shaped Airfoils Based on the Multi-Island Genetic Algorithm

Machines
This article uses the sailfish outline as an airfoil profile to create a dual vertical-axis water turbine model for capturing wave and tidal current energy. A parametric water turbine model is built with the shape function perturbation and characteristic
Aiping Wu, Tianli Ma, Shiming Wang, Chengling Ding   +3 more
doaj   +2 more sources

Microgrid stability control in both islanded and connected modes based on sailfish optimization algorithm considering solar energy sources

Journal of Applied Science and Engineering
In this article, a nonlinear control method based on a virtual synchronous inverter is presented in order to maintain the stability of the microgrid in the island and connected mode with the presence of solar renewable energy sources.
Shasha Li, Wei Yan, Dongxia Wang, Huizhen Zhang   +3 more
doaj   +2 more sources

Accelerating sailfish optimization applied to unconstrained optimization problems on graphical processing unit

Engineering Science and Technology, an International Journal, 2022
The Sailfish Optimizer (SFO) is a metaheuristic algorithm inspired by a group of hunting sailfish that alternates their attacks on group of prey. The SFO algorithm takes advantage of using a simple method for providing the dynamic balance between ...
Hamid Reza Naji, Soodeh Shadravan, Hossien Mousa Jafarabadi, Hossien Momeni   +3 more
doaj   +1 more source

K-means Hybrid Iterative Clustering Based on Memory Transfer Sailfish Optimization

Shanghai Jiaotong Daxue xuebao, 2022
Aimed at the problem that the existing K-means clustering (KMC) algorithm is greatly affected by initialization, and the randomly generated clustering center can easily make the clustering result fall into local optimum and stop iterating, resulting in ...
HUANG He, XIONG Wu, WU Kun, WANG Huifeng, RU Feng, WANG Jun
doaj   +1 more source