Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

BEs with different loss functions. حسب Qin Gong (118801)

"…Next, we select the gamma distribution as the prior distribution and apply the Lindley approximation algorithm to calculate `estimates of Shannon entropy and Rényi entropy under different loss functions including Linex loss function, entropy loss function, and DeGroot loss function respectively. …"

Comparison of ReLU and ELU activation functions. حسب Peixin Niu (12330204)

"…Moreover, the utilization of an exponential linear unit (ELU) activation function enhances the capture of comprehensive negative feature information. …"

CEC2022 and CEC2017 benchmark functions. حسب Chengcheng Ding (9013862)

Loss function comparison plot. حسب Wenhao Ren (2561731)

ClaritySpectra: Raman spectra analysis tool حسب Aaron Celestian (9395696)

Mean HV. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

IGD results. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

Commonly used metaheuristics Hyperparameters. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

MOSRS’s pseudocode. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

The radius of this circular motion. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

Hardest general multi-objective problems. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

Friedman test for the Engineering problems. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

Schematic of some engineering problems [34]. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

The direction of the magnetic force [1]. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

Friedman tests for the CEC 2009 problems. حسب Vahid Goodarzimehr (21343124)

"…To test the performance, MOSRS is applied to the most challenging test functions set (CEC 2009) and 21 real and constrained world problems, being compared with a total of eleven metaheuristics: NSGA-II, NSGA-III, MOEA/D, MOPSO, MOGWO, ARMOEA, TiGE2, CCMO, ToP, and AnD. …"

Comparative experimental data of loss functions. حسب Huiying Zhang (200681)

"…Additionally, three innovative loss functions—focalerDIoU, focalerGIOU and focalerShapeIoU are proposed to reduce losses during the training process. …"

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image... حسب Xiaoke Liu (11388323)

Fusion outcomes for select frames in the INO dataset. حسب Yandong Liu (11893664)

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