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Multi-threshold image segmentation using a multi-strategy shuffled frog lea** algorithm
Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …
processing, can help doctors make more precise decisions on patient diagnosis. Although …
Blockchain-based federated learning methodologies in smart environments
D Li, Z Luo, B Cao - Cluster Computing, 2022 - Springer
Blockchain technology is an undeniable ledger technology that stores transactions in high-
security chains of blocks. Blockchain can solve security and privacy issues in a variety of …
security chains of blocks. Blockchain can solve security and privacy issues in a variety of …
An investigation into the application of acceleration responses' trendline for bridge damage detection using quadratic regression
It has been proven that structural damage can be successfully identified using trendlines of
structural acceleration responses. In previous numerical and experimental studies, the …
structural acceleration responses. In previous numerical and experimental studies, the …
[HTML][HTML] Integrating virtual reality and building information modeling for improving highway tunnel emergency response training
During the last two decades, managers have been applying Building Information Modeling
(BIM) to improve the quality of management as well as operation. The effectiveness of …
(BIM) to improve the quality of management as well as operation. The effectiveness of …
MFeature: towards high performance evolutionary tools for feature selection
Y Xu, H Huang, AA Heidari, W Gui, X Ye, Y Chen… - Expert Systems with …, 2021 - Elsevier
Feature selection commonly refers to a process of using the candidate algorithm to detect
the optimal feature sets during the preprocessing steps in machine learning and data …
the optimal feature sets during the preprocessing steps in machine learning and data …
Data‐driven system parameter change detection for a chain‐like uncertainties embedded structure
A data‐driven identification technique is used to implement an effective change detection
approach for uncertain multi‐degree‐of‐freedom chainlike systems. The information about …
approach for uncertain multi‐degree‐of‐freedom chainlike systems. The information about …
QoS-aware service discovery and selection management for cloud-edge computing using a hybrid meta-heuristic algorithm in IoT
R Wang, J Lu - Wireless Personal Communications, 2022 - Springer
Cloud-edge computing is an emerging computing model based on Service Oriented
Architecture that provides reliable and available cloud services as scalable resources by …
Architecture that provides reliable and available cloud services as scalable resources by …
Bridge damage analysis using operational modal analysis
N Barbieri, L de Sant'Anna Vitor Barbieri… - Journal of Vibration …, 2024 - Springer
Introduction The dynamic analysis of complex structures subject to excitations that are
difficult to quantify or measure can be conducted using operational modal analysis …
difficult to quantify or measure can be conducted using operational modal analysis …
Some new logarithmic aggregation operators and their application to group decision making problem based on t-norm and t-conorm
K Rahman - Soft Computing, 2022 - Springer
In this paper, a logarithmic operational law for intuitionistic fuzzy numbers is defined, in
which the based ℓ is a real number such that ℓ∈ 0, 1 with condition ℓ≠ 1. Some properties …
which the based ℓ is a real number such that ℓ∈ 0, 1 with condition ℓ≠ 1. Some properties …
Normalized energy index-based signal analysis through acceleration trendlines for structural damage detection
Utilizing the Trend line-based Signal decomposing Algorithm (TSA), this paper develops an
innovative Structural Health Monitoring (SHM) method to locate damages in structures on …
innovative Structural Health Monitoring (SHM) method to locate damages in structures on …