Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

Algorithm parameters. by Nicolas Herzig (9230425)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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Two-dimensional multimodal functions. by Yu-Jun Zhang (185411)

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Multi-dimensional multimodal functions. by Yu-Jun Zhang (185411)

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CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

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CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

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CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

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Iteration curves of the algorithms in the Three-bar Truss design problem. by Junhao Wei (6816803)

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…BOFdat has a modular implementation that divides the BOF definition process into three independent modules defined here as steps: 1) the coefficients for major macromolecules are calculated, 2) coenzymes and inorganic ions are identified and their stoichiometric coefficients estimated, 3) the remaining species-specific metabolic biomass precursors are algorithmically extracted in an unbiased way from experimental data. …”

Output results based on three algorithms. by Yiqiong Gao (16698968)

Characteristics of the learning algorithms and activation functions employed in the MLP 2-3-2-5 model. by Anna Badura (4495546)

“…<p>Characteristics of the learning algorithms and activation functions employed in the MLP 2-3-2-5 model.…”

Genetic algorithm flowchart. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

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Genetic algorithm process of this paper. by Jiajie Liu (4560088)