A new metaheuristic algorithm: Shrimp and Goby association search algorithm and its application for damage identification in large-scale and complex structures
This paper presents the application of a new Shrimp and Goby Association Search algorithm
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
A new movement strategy of grey wolf optimizer for optimization problems and structural damage identification
In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is
introduced. The enhanced version is interesting and complementary in terms of the direction …
introduced. The enhanced version is interesting and complementary in terms of the direction …
Termite life cycle optimizer
This paper introduces a novel bio-inspired meta-heuristic optimization algorithm, named
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
Damage identification in high-rise concrete structures using a bio-inspired meta-heuristic optimization algorithm
In this paper, for the first time, a damage assessment technique for a high-rise concrete
structure is presented. This structure has sixteen stories, a total height of 57 m and its total …
structure is presented. This structure has sixteen stories, a total height of 57 m and its total …
Metamodel-assisted hybrid optimization strategy for model updating using vibration response data
In this study, an effective and novel method, termed Metamodel Assisted Hybrid of Particle
Swarm Optimization with Genetic Algorithm (MA-HPSOGA), is developed to identify …
Swarm Optimization with Genetic Algorithm (MA-HPSOGA), is developed to identify …
MP-Net: An efficient and precise multi-layer pyramid crop classification network for remote sensing images
Accurate crop classification map is of great significance in various fields such as the survey
of agricultural resource, the analysis of existing circumstance on land application, the yield …
of agricultural resource, the analysis of existing circumstance on land application, the yield …
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
H Huang, Z Chen, C Chen, M Lu, Y Zou - Computers in Biology and …, 2023 - Elsevier
A network based on complementary consistency training, CC-Net, has been proposed for
semi-supervised left atrium image segmentation. CC-Net efficiently utilizes unlabeled data …
semi-supervised left atrium image segmentation. CC-Net efficiently utilizes unlabeled data …
A nonlinear optimization method for calibration of large‐scale deep cement mixing in very soft clay deep excavation
This work proposes a novel technique to conduct back‐analysis of lateral displacement of
deep cement mixing (DCM) columns in deep excavation construction. For the first time, we …
deep cement mixing (DCM) columns in deep excavation construction. For the first time, we …
Soft computing-based models for estimating undrained bearing capacity factor of open Caisson in heterogeneous clay
R Suppakul, JT Chavda, W Jitchaijaroen… - Geotechnical and …, 2024 - Springer
Open caissons are commonly used in the construction of various underground structures,
such as launch and reception shafts for tunnel-boring machines, storage or attenuation …
such as launch and reception shafts for tunnel-boring machines, storage or attenuation …
[HTML][HTML] A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media
Social media platforms such as Twitter are home ground for rapid COVID-19-related
information sharing over the Internet, thereby becoming the favorable data resource for …
information sharing over the Internet, thereby becoming the favorable data resource for …