Test results of the classification algorithm. by Juan Liu (6492)

“…Secondly, the news text classification algorithm (support vector machine, K-nearest neighbor, AdaBoost algorithm) is selected through comparative experiments. …”

Boundary conditions of the finite element model. by Ali Ataei (12261869)

Multi-Objective Optimisation Algorithms for Finite Element Model Updating. by Evangelos Ntotsios (98103)

Algorithm 1: Random BBA generation—Uniform sampling from all focal elements. by Yi Yang (116183)

“…<p>Algorithm 1: Random BBA generation—Uniform sampling from all focal elements.…”

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Models and procedure used to develop the algorithm. by Erick A. Perez Alday (685437)

Sample augmentation and annotation illustration. by Xiaozhou Feng (2918222)

“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. The enhanced features include: first, integrating FasterBlock module into the backbone and neck networks of YOLOv8 to, boost the model’s feature extraction capability and reduce complexity, thereby achieving a balance between detection efficiency and accuracy. …”

Finite element models used. by Bartłomiej Grychtol (613117)

Simulation sample. by Xiaogang Li (299205)

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Finite element models of the pipes. by Delong Huang (10271165)

Finite element model of the finger segment. by Jean Chenevier (4875877)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

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A Mode-Jumping Algorithm for Bayesian Factor Analysis by Albert Xingyi Man (9283383)

“…We introduce a new Bayesian sampling algorithm that efficiently explores the multimodal posterior surface and addresses issues with PLT-constrained approaches. …”

Parallel pipeline elements. by Ramona Leenings (11167294)

Action potential of sample points in model 1. by Hang Zhao (143592)

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Action potential of sample points in model 2. by Hang Zhao (143592)

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Action potential of sample points in model 0. by Hang Zhao (143592)

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Depiction of the elements of our reservoir computing model. by Joseph Chrol-Cannon (596144)