Results 1 to 10 of about 292 (146)

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   +6 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   +4 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   +4 more sources

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   +3 more sources

Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer

International Journal of Energetica, 2023
The current study proposes a novel meta-heuristic technique called sailfish optimizer (SFO) to design reliable photovoltaic (PV) modeling models.
Mohammed Bilal Danoune, A. Djafour, Youcef Rehouma, A. Degla, Zied Dress   +4 more
doaj   +3 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

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

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

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

Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations [PDF]

Scientific Reports
In this research, advanced regression techniques are investigated for modeling intricate release patterns utilizing a high-dimensional dataset comprising more than 1500 spectrum-based variables and categorical inputs. The spectral data are collected from
Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah   +2 more
doaj   +2 more sources