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Distributed lévy sailfish optimizer optimizes XGBoost fraud detection

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 2023
Hongwei Chen   +3 more
openaire   +1 more source

Sailfish Hunting Optimization Algorithm

This paper proposes a heuristic optimization algorithm based on sailfish hunting behavior—the Sailfish Hunting Heuristic Optimization (SHO). This algorithm fully simulates the behavioral characteristics of sailfish in the marine environment, including prey pursuit, target selection, group collaboration, and high-speed strategy switching. By abstracting
openaire   +1 more source

Navigating the Waves of Precision: Optimization Techniques for Sailfish Segmentation in the Pacific

2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL)
A well-known and mysterious species that lives in the vast and varied seas of the Pacific Ocean is the Indo-Pacific sailfish. The sailfish has piqued the interest of marine scientists, ecologists, and fans alike because of its unusual sail-like dorsal ...
M. Deepa   +3 more
openaire   +2 more sources

Optimization-Driven Network Security in MANET using an Improved Self-Adaptive Sailfish Algorithm (ISASA) for IoT Applications

2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
The emerging wireless Mobile Adhoc Networks (MANETs) have many applications in the Internet of Things (IoT) owing to their decentralized nature and the ease of deployment option.
P. Satyanarayana   +5 more
semanticscholar   +1 more source

Instigating the Sailfish Optimization Algorithm Based on Opposition-Based Learning to Determine the Salient Features From a High-Dimensional Dataset

International Journal of Information Technology and Decision Making, 2023
U. Khaire   +3 more
semanticscholar   +1 more source

SailFish Optimizer Algorithm to Solve the Traveling Salesman Problem

2022
Cherrat Khaoula   +2 more
openaire   +1 more source

Flamingo Search Sailfish Optimizer Based SqueezeNet for Detection of Breast Cancer Using MRI Images

Cancer Investigation
Breast cancer with increased risk in women is identified with Breast Magnetic Resonance Imaging (Breast MRI) and this helps in evaluating treatment therapies. Breast MRI is time time-consuming process that involves the assessment of current imaging. This research work depends on the detection of breast cancer at the earlier stages.
P, Vijaya   +4 more
openaire   +2 more sources

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