Results 1 to 10 of about 444 (135)

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   +7 more sources

Multi-Strategy Sailfish Optimizer: Novel Algorithm with Dynamic Sardine Population and Improved Search Technique for Efficient Robot Path Planning

Machines
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, Muhammad Rizwan Tanweer, Adnan Ahmed Siddiqui, Salman A. Khan, Muhammad Hassan Tanveer, Razvan Cristian Voicu   +5 more
doaj   +4 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   +3 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

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

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

An improved Differential evolution with Sailfish optimizer (DESFO) for handling feature selection problem [PDF]

Scientific Reports
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, O. E. Emam, Ahmed Sabry Abolaban   +2 more
doaj   +2 more sources

SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction

Ain Shams Engineering Journal
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, Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Ahmed Adnan Hadi, Mohamed Ghouse, Akila Thiyagarajan, Mohit Mittal, Mohammad Khishe   +8 more
doaj   +2 more sources

Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms [PDF]

Nature Biotechnology, 2014
We introduce Sailfish, a computational method for quantifying the abundance of previously annotated RNA isoforms from RNA-seq data. Because Sailfish entirely avoids mapping reads, a time-consuming step in all current methods, it provides quantification estimates much faster than do existing approaches (typically 20 times faster) without loss of ...
Rob Patro, Carl Kingsford, Stephen M. Mount   +2 more
exaly   +5 more sources