Results 41 to 50 of about 230 (149)
Credit card fraud detection using the brown bear optimization algorithm
Fraud detection in banking systems is crucial for financial stability, customer protection, reputation management, and regulatory compliance. Machine Learning (ML) is vital in improving data analysis, real-time fraud detection, and developing fraud ...
Shaymaa E. Sorour +3 more
doaj +1 more source
The contributions of this paper are mainly reflected in: (1) A method for determining the modes number of VMD using SVS technology is proposed, which can effectively avoid the shortcomings of the optimization algorithm. (2) The TSM index is established to describe the transient structure of bearing fault signals, and the balance factor selection based ...
Xing Yuan, Hui Liu, Huijie Zhang
wiley +1 more source
The Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging.
Aravam Babu, A. Bagubali
doaj +1 more source
Evidence from interpretable machine learning to inform spatial management of Palau's tuna fisheries
Abstract Static and dynamic area‐based management tools hold substantial potential to balance socioeconomic benefits derived from fisheries and costs from bycatch mortality of at‐risk species. Palau longline fisheries have high bycatch of at‐risk species including the olive ridley marine turtle and silky and blue sharks.
Eric Gilman, Milani Chaloupka
wiley +1 more source
ISFO-CS: An Improved Sailfish Optimization Algorithm for Controller Selection in SDWSN
Abstract Software-defined wireless sensor networks (SDWSNs) have recently been added to networking, increasing scalability and performance. Choosing SDN controllers is a critical issue for network administrators in SDNs. The control plane in SDN is a separate procedure that operates on the control layer.
Manisha Kumari Rajoriya +1 more
openaire +1 more source
This paper introduces a hybrid multi-objective optimization algorithm, designated HMODESFO, which amalgamates the exploratory prowess of Differential Evolution (DE) with the rapid convergence attributes of the Sailfish Optimization (SFO) algorithm. The primary objective is to address multi-objective optimization challenges within mechanical engineering,
Sedak, Miloš +2 more
openaire +2 more sources
Sailfish optimizer based CLAHE with U-NET for MRI brain tumour segmentation
Semantic brain tumour segmentation is a significant contribution to medical image processing. This research is helpful for doctors making diagnoses and determining the severity of lesions.
G. Yogalakshmi, B. Sheela Rani
doaj +1 more source
The COVID-19 pandemic has made face mask detection into a big thing because it is essential in public health monitoring. Meanwhile, the growing number of things that can be connected to the internet and the increasing integration of this technology mean ...
Parul Dubey +4 more
doaj +1 more source
Modern communication networks are becoming increasingly complex as they accommodate rising traffic from mobile users, expanding IoT ecosystems, and delay-sensitive services.
Qixuan Yu
doaj +1 more source
Model Optimization of Kinematic Redundant Feed Drive Systems Using Sailfish Optimization Algorithm
M. G. A. Nassef +2 more
openaire +1 more source

