CEC2017 benchmark function experiment results(dim = 30). حسب Qingwen Meng (156386)

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CEC2017 benchmark function experiment results(dim = 100). حسب Qingwen Meng (156386)

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WSN optimized by different algorithms. حسب Qingwen Meng (156386)

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Compare algorithm parameter settings. حسب Qingwen Meng (156386)

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Impact of POMCP parameters on the estimated value function. حسب Benoîte de Saporta (20454662)

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Risk function of the controlled continuous time PDMP. حسب Benoîte de Saporta (20454662)

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A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... حسب Hassan Mehboob (8960273)

Registration phase. حسب Khondokar Oliullah (21553289)

Comparison the results with and without Fourier Loss Function for Rain100H. حسب Chaobing Zheng (20896579)

Multidimensional test results of BWEMFO and MFO on IEEE CEC 2017 test functions. حسب Jingjing Ma (419752)

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Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

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Evaluating and Improving Light Absorption Retrievals of Black Carbon Using In Situ Polar Nephelometry حسب Qizhi Xu (1729057)

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Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

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Framework of the proposed algorithm. حسب Jia Li (160557)

Comparison between the proposed framework with and without Fourier Loss Function for Rain100H. حسب Chaobing Zheng (20896579)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network حسب Rajesh Kumar Thangavel (20591164)

"…In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. …"

Pseudocode of the BBAC_I Algorithm. حسب Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. حسب Zezhi Lin (22521663)

Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches حسب Andrés Halabi Diaz (20798460)

"…This study integrates conceptual density functional theory (CDFT) descriptors with explainable no-code machine learning (ML) models to predict NA mutagenicity based on Ames test results. …"