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-to improve the efficiency and structure of the paper. -refining the methodology, results, and conclusion to emphasize novelty, clarity, and alignment with high-impact journals or top-tier conferences. -enhance/include comparative analysis, strengthen the paper’s practical implications, and improve the overall technical rigor and presentation for better acceptance chances. -Evaluate the models used in terms of efficiency and predictive performance -include another benchmark(relevant e.g. Lorenz data, Numenta Anomaly Benchmark (NAB), Mackey-Glass Time Series ) dataset and choose the optimised values for the hyperparameter/parameters if used any.

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