Suchergebnisse - archive of computational methods in engineering
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Quantum Machine Learning for Computational Methods in Engineering: A Systematic Review
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.04.2024Veröffentlicht in Archives of computational methods in engineering (01.04.2024)“… (unsolvable using classical computational methodologies). The revolutionary paradigms potential has spurred scientific research and progress …”
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Archives of Quantum Computing: Research Progress and Challenges
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.01.2024Veröffentlicht in Archives of computational methods in engineering (01.01.2024)“… Quantum computing is a revolutionary concept among emerging technologies visioned by researchers. The interdisciplinary nature of quantum computing evolves as …”
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A Review of Multi-objective Optimization: Methods and Algorithms in Mechanical Engineering Problems
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.06.2022Veröffentlicht in Archives of computational methods in engineering (01.06.2022)“… This manuscript brings the most important concepts of multi-objective optimization and a systematic review of the most cited articles in the last years in mechanical engineering, giving details …”
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Comprehensive Analysis of Computational Methods for Predicting Anti-inflammatory Peptides
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.08.2024Veröffentlicht in Archives of computational methods in engineering (01.08.2024)“… The systematic experimental identifying methods for AIPs deals with various problems of the existing in-vitro methods …”
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A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.06.2022Veröffentlicht in Archives of computational methods in engineering (01.06.2022)“… To date, structural health monitoring (SHM) has been extensively applied in several fields, such as aerospace, automotive, and mechanical engineering …”
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Developments and Design of Differential Evolution Algorithm for Non-linear/Non-convex Engineering Optimization
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.05.2024Veröffentlicht in Archives of computational methods in engineering (01.05.2024)“… Nowadays, the differential evolution (DE) achieved noticeable progress and solved a wide range of non-linear/non-convex engineering optimization issues …”
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A Comprehensive Review of EMF Exposure in Power Systems: Computational Models, Measurement Methods, and Mitigation Approaches
ISSN: 1134-3060, 1886-1784Veröffentlicht: 05.09.2025Veröffentlicht in Archives of computational methods in engineering (05.09.2025)Volltext
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The Augmented Lagrangian Method as a Framework for Stabilised Methods in Computational Mechanics
ISSN: 1134-3060, 1886-1784, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.05.2023Veröffentlicht in Archives of computational methods in engineering (01.05.2023)“… algorithms for constrained optimisation problems. Its use as a stabilisation methods in computational mechanics has, however, only recently been appreciated …”
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A Comprehensive Review of Computational Dehazing Techniques
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.11.2019Veröffentlicht in Archives of computational methods in engineering (01.11.2019)“… The visibility of outdoor images is greatly degraded due to the presence of fog, haze, smog etc. The poor visibility may cause the failure of computer vision …”
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A Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Design
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.07.2023Veröffentlicht in Archives of computational methods in engineering (01.07.2023)“… The complexity of aircraft design problems increases with many objectives and diverse constraints, thus necessitating effective optimization techniques. In …”
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A Review of FE-FFT-Based Two-Scale Methods for Computational Modeling of Microstructure Evolution and Macroscopic Material Behavior
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.10.2022Veröffentlicht in Archives of computational methods in engineering (01.10.2022)“… In order to capture such micro-structural characteristics, numerical two-scale methods are often used …”
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Modeling Strategies for the Computational Analysis of Unreinforced Masonry Structures: Review and Classification
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.09.2020Veröffentlicht in Archives of computational methods in engineering (01.09.2020)“… In the last half-century, the scientific community devoted a consistent effort to the computational analysis of masonry structures in order to develop tools for the prediction (and the assessment …”
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Recent Advances in Computational Methodologies for Real-Time Hybrid Simulation of Engineering Structures
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.04.2023Veröffentlicht in Archives of computational methods in engineering (01.04.2023)“… Testing individual systems is insufficient, and consequently, engineering experimentation requires refinement. Hybrid simulation (HS …”
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State-of-the-Art and Comparative Review of Adaptive Sampling Methods for Kriging
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.06.2021Veröffentlicht in Archives of computational methods in engineering (01.06.2021)“… In recent years kriging has emerged as a widely applied metamodeling technique for resource-intensive computational experiments …”
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System Identification Methods for (Operational) Modal Analysis: Review and Comparison
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.03.2012Veröffentlicht in Archives of computational methods in engineering (01.03.2012)“… This paper extensively reviews operational modal analysis approaches and related system identification methods …”
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Generalized Matrix Learning Vector Quantization Computational Method for Intelligent Decision Making: A Systematic Literature Review: Generalized Matrix Learning Vector Quantization Computational Method for Intelligent Decision Making
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.08.2025Veröffentlicht in Archives of computational methods in engineering (01.08.2025)“… Data’s increasing complexity and uncertainty across domains continue to drive the demand for more robust, efficient, and accurate computational methods, including machine learning algorithms for pattern …”
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A Manifold Learning Approach for Integrated Computational Materials Engineering
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.01.2018Veröffentlicht in Archives of computational methods in engineering (01.01.2018)“… Techniques based on standard computational homogenization are seriously compromised by the real-time constraint …”
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Point Cloud Generation for Meshfree Methods: An Overview
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.03.2023Veröffentlicht in Archives of computational methods in engineering (01.03.2023)“… The biggest stated advantage of meshfree methods is the avoidance of generating a mesh on the computational domain …”
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Smoothed Finite Element Methods (S-FEM): An Overview and Recent Developments
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Netherlands 01.04.2018Veröffentlicht in Archives of computational methods in engineering (01.04.2018)“… The smoothed finite element methods (S-FEM) are a family of methods formulated through carefully designed combinations of the standard FEM and some of the techniques from the meshfree methods …”
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Computational Nuclei Segmentation Methods in Digital Pathology: A Survey
ISSN: 1134-3060, 1886-1784Veröffentlicht: Dordrecht Springer Science and Business Media LLC 01.01.2021Veröffentlicht in Archives of Computational Methods in Engineering (01.01.2021)“… Pathology is an important field in modern medicine. In particular, the step of nuclei segmentation is an important step in cancer analysis, diagnosis, and …”
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