Solving Nonlinear Differential Algebraic Equations by an Implicit Lie-Group Method by Chein-Shan Liu

“…We derive an implicit Lie-group algorithm together with the Newton iterative scheme to solve nonlinear differential algebraic equations. …”
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AUTOMATED DETERMINATION OF THE CRYSTALS SIZE IN ELECTRODEPOSITED METAL MATERIALS by E. V. Kolesnik

“…Methods of automated determination of the crystals size in the electrodeposited metal materials including digital processing of the electronicand microscopic image of the structure with sequential use of the low-and-high-leaky filter based on fast transformation of Fourier, Watershed-algorithm and decomposing of Voronoj with further measurement of thr crystal size with one of the traditional methods is offered.…”
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Estimation of Maximum Rapprochement of Flexible Collecting Buses with Drops at Short Circuit by E. G. Panamarenka

“…A simplified algorithm for calculating maximum rapprochement of adjoining phases of collecting buses with drops that is based only on available geometrical span dimensions has been developed in the paper. …”
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Modeling Blast Loading on Buried Reinforced Concrete Structures with Zapotec by Greg C. Bessette

“…A coupled Euler-Lagrange solution approach is used to model the response of a buried reinforced concrete structure subjected to a close-in detonation of a high explosive charge. The coupling algorithm is discussed along with a set of benchmark calculations involving detonations in clay and sand.…”
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FORMATION OF MECHANISMS OF MANAGEMENT OF ORGANIZATIONAL DEVELOPMENT OF THE ORGANIZATION by I. Sitnikov

“…The article suggests approaches that implement this concept, and presented in the form of a working algorithm.…”
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Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences by Xingsi Xue, Chaofan Yang, Chao Jiang, Pei-Wei Tsai, Guojun Mao, Hai Zhu

“…In this work, an extended compact genetic algorithm-based ontology entity matching technique (ECGA-OEM) is proposed, which uses both the compact encoding mechanism and linkage learning approach to match the ontologies efficiently. …”
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Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

“…The superior performance and stability of the proposed algorithm compared to other algorithms are captured by our empirical results. …”
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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

“…To address this problem, a convolutional neural network (CNN) model combining the improved particle swarm optimization (IPSO) algorithm and SHAP analysis, called SHAP-IPSO-CNN, is developed in this study, aiming to reveal the key factors affecting ground-level ozone pollution and their interaction mechanisms. …”
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Usage of Optimized Least Square SVR to Volume Expansion Estimation of Cement Paste Including Fly Ash and Mgo Expansive Additive by Mazharul Islam, Sadia Afrin

“…The efficacy of 𝐿𝑆𝑆𝑉𝑅 is significantly impacted by its hyperparameters (𝑐 and 𝑔), which were fine-tuned using the Dwarf Mongoose Optimization Algorithm (𝐷𝑀𝑂𝐴) and the Equilibrium Optimization Algorithm (𝐸𝑂𝐴). …”
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The Difficult Airway Trolley: A Narrative Review and Practical Guide by Martin F. Bjurström, Mikael Bodelsson, Louise W. Sturesson

“…Based on evidence presented in 11 national or international guidelines, and peer-reviewed journals, we present and outline a difficult airway trolley organized to accommodate sequential progression through a four-step difficult airway algorithm. The contents of the top four drawers correspond to specific steps in the airway algorithm (A = intubation, B = oxygenation via a supraglottic airway device, C = facemask ventilation, and D = emergency invasive airway access). …”
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A segmentation method for LiDAR point clouds of aerial slender targets by Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma

“…The method introduces an image segmentation algorithm based on a voting mechanism for overhead power lines and designs a calibration algorithm for LiDAR point clouds and images in the scenarios with large depth of field. …”
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An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism by Fei Han, Yu-Wen-Tian Sun, Qing-Hua Ling

“…Finally, the experiments on a set of benchmark test functions have verified that the proposed algorithm has better convergence performance than some state-of-the-art multiobjective optimization algorithms.…”
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Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

“…Monte Carlo simulation is employed to model uncertainties, while a multi-objective optimization algorithm is used to solve the problem. This algorithm aims to maximize the profits of network operators and the private sector while minimizing unsupplied energy and its associated penalties. …”
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Prediction of Orbit Decay for Large-Scale Spacecraft considering Rarefied Aerodynamic Perturbation Effects by Xinglong Gao, Zhihui Li, Qin Chen, Di Ding, Aoping Peng

“…A unified local rapid engineering algorithm for aerodynamic force and moment coefficients covering all flow regimes is proposed. …”
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A Semi-Analytical Method for the Identification of DC-Decay Parameters at an Arbitrary Rotor Position in Large Synchronous Machines by Zhenming Lai, Haoyu Kang, Demin Liu, Zhichao Wang, Yong Yang, Jin Wang

“…Meanwhile, combining the transient analysis theory and particle swarm optimization algorithm, a semi-analytical parameter identification method is proposed. …”
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Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems by Sergii Babichev, Igor Liakh, Jiri Skvor

“…The research methodology involves initial gene ontology analysis, followed by the application of the Self Organizing Tree Algorithm (SOTA) for clustering gene expression profiles, an ensemble algorithm for data biclustering, and CNN for sample classification. …”
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Identifying Ocean Submesoscale Activity From Vertical Density Profiles Using Machine Learning by Leyu Yao, John R. Taylor, Dani C. Jones, Scott D. Bachman

“…In this paper, we propose an unsupervised machine learning algorithm to identify submesoscale activity using vertical density profiles. …”
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Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit by Jun-Han Wang, He He, Kosuke Tamura, Shun Kojima, Jaesang Cha, Chang-Jun Ahn

“…At the same time, the computational complexity of the algorithm has been reduced to some extent, allowing the estimator to complete the channel estimation faster. …”
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A Simple Visualization Method for Three-Dimensional (3D) Network by Sangkwon Kim, Chaeyoung Lee, Jintae Park, Sungha Yoon, Yongho Choi, Junseok Kim

“…To demonstrate the performance of the proposed algorithm, the relationships of the characters in the two novels are visualized using 3D network diagram.…”
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Estimating the Torsional Capacity of Reinforced Concrete Beams Using ANFIS Models by Zhao Wenwu, Zeng Shaowu, Gong Guilin, Li Qiangqiang, Li Kexing

“…The objective of the present work is to provide innovative hybrid models that combine the concepts of the Adaptive neuro fuzzy inference systems (𝐴𝑁𝐹𝐼𝑆) model with other optimization approaches, such as the Giant trevally algorithm (𝐺𝑇𝐴) and Honey badger algorithm (𝐻𝐵𝐴), to accurately forecast the 𝑇𝑟. …”
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