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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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221
Shape error measurement results statistics.
Published 2025“…However, prediction accuracy diminishes for longer time steps as the step length increases. Following model updates with measured data, the accumulated prediction error rapidly decreases. …”
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225
Results of the robustness test.
Published 2024“…In this study, a panel dataset of 28 OECD member countries from 2011 to 2020 is analyzed, using the OLS, fixed-effects, and two-step system GMM methods, to assess the impacts of public spending on renewable energy RD&D (RERD) and the import of renewable energy technologies on the energy-related CO<sub>2</sub> emissions. …”
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226
Descriptive statistics of variables.
Published 2024“…In this study, a panel dataset of 28 OECD member countries from 2011 to 2020 is analyzed, using the OLS, fixed-effects, and two-step system GMM methods, to assess the impacts of public spending on renewable energy RD&D (RERD) and the import of renewable energy technologies on the energy-related CO<sub>2</sub> emissions. …”
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227
S1 Dataset -
Published 2024“…In this study, a panel dataset of 28 OECD member countries from 2011 to 2020 is analyzed, using the OLS, fixed-effects, and two-step system GMM methods, to assess the impacts of public spending on renewable energy RD&D (RERD) and the import of renewable energy technologies on the energy-related CO<sub>2</sub> emissions. …”
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228
Hyperparameter settings.
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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229
Initial weight values and correlation thresholds.
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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230
Ablation experiment results comparison.
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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231
Curve of data size vs. running time.
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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232
Data (3).
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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233
Structure of the Kuhn-Munkres Algorithm.
Published 2025“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”
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234
Block diagram illustrating the solution approach.
Published 2025“…The algorithm was applied to real customer orders in a steel manufacturer and showed significant benefits by reducing the number of planners from four to merely one person and decreasing the cutting planning time from six hours to under one hour. …”
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235
Example of graph representation of an CSP.
Published 2025“…The algorithm was applied to real customer orders in a steel manufacturer and showed significant benefits by reducing the number of planners from four to merely one person and decreasing the cutting planning time from six hours to under one hour. …”
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236
Feasible stopper/saw positions.
Published 2025“…The algorithm was applied to real customer orders in a steel manufacturer and showed significant benefits by reducing the number of planners from four to merely one person and decreasing the cutting planning time from six hours to under one hour. …”
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237
Pseudocode of the WACO algorithm.
Published 2025“…The algorithm was applied to real customer orders in a steel manufacturer and showed significant benefits by reducing the number of planners from four to merely one person and decreasing the cutting planning time from six hours to under one hour. …”
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238
Schematic of the cutting machine.
Published 2025“…The algorithm was applied to real customer orders in a steel manufacturer and showed significant benefits by reducing the number of planners from four to merely one person and decreasing the cutting planning time from six hours to under one hour. …”
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239
Participants’ Mean Blood Glucose.
Published 2025“…This was an analytical cross-sectional study using data from the National Survey of Non-Communicable Disease STEPs 2018 (NCD STEPS) in Afghanistan. The total sample size in the original study was 3,972 and a multi-stage cluster sampling method was used. …”
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240
Participants’ Mean Total Cholesterol.
Published 2025“…This was an analytical cross-sectional study using data from the National Survey of Non-Communicable Disease STEPs 2018 (NCD STEPS) in Afghanistan. The total sample size in the original study was 3,972 and a multi-stage cluster sampling method was used. …”