SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm [PDF]
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 +2 more
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The sailfish optimizer is a recent swarm-intelligence-based optimization algorithm which mimics the hunting behavior of sailfish in the ocean. It consists of two types of populations, namely, sailfish and sardine, where sailfish represent the candidate ...
Saboohi Naeem Ahmed +5 more
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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 +3 more
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Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications [PDF]
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 +4 more
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Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer [PDF]
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 +5 more
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An improved Differential evolution with Sailfish optimizer (DESFO) for handling feature selection problem [PDF]
As a preprocessing for machine learning and data mining, Feature Selection plays an important role. Feature selection aims to streamline high-dimensional data by eliminating irrelevant and redundant features, which reduces the potential curse of ...
Safaa. M. Azzam +2 more
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SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction
Feature selection enables educational data mining provide personalised support and enhance student performance. When using high-dimensional educational datasets, traditional feature selection techniques have premature convergence and inadequate feature ...
Ashjan Hamad Alsabhan +8 more
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Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data [PDF]
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 +5 more
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Energy-Efficient Clustering and Routing Using ASFO and a Cross-Layer-Based Expedient Routing Protocol for Wireless Sensor Networks [PDF]
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 +5 more
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High-Performance Speed Control of BLDC Motor Drives Using a PI Sailfish Optimization Algorithm
BLDC motors are utilized in electric cars, robotics, drones, home appliances and medical equipment due to their effectiveness, dependability, and accurate control.
Othman Abdalkader Othman +4 more
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