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The dataset was divided right into a schooling group (ninety% of the information) plus a tests group (ten% of the data) to evaluate the predictive abilities of assorted fintech products, together with an adaptive community-dependent fuzzy inference procedure (ANFIS), a hybrid neural fuzzy read more inference method (HyFIS), a fuzzy process with the heuristic gradient descent (FS.HGD), and fuzzy inference principles Along with the descent system (FIR.DM) types. the choice from the best model is contingent upon evaluating its overall performance In keeping with specific mistake standards. The HyFIS design outperformed Other folks with decrease faults in predicting LTRWAs. Independent t-assessments verified statistically important discrepancies involving initial and predicted LTRWA for all designs, with HyFIS showing closer predictions. This research offers precious insights into LTRWA prediction using Highly developed statistical and machine Mastering methods, based on a dataset from numerous nations around the world and years. keywords and phrases: Islamic banking companies; neural community; complete possibility-weighted belongings; fiscal technological innovation Islamic banking companies; neural community; overall hazard-weighted belongings; financial technology Share and Cite
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The overview highlights gaps in present knowledge and long run study directions to boost the understanding of climate-relevant failure propagation in organic fuel pipeline infrastructure. This paper provides insights to the issues and chances for increasing the resilience and sustainability of pipeline infrastructure to weather conditions-connected failures. keyword phrases: failure propagation; climate-associated events; blended influence; purely natural fuel pipeline; optimal routine maintenance; climate modify impact failure propagation; temperature-associated functions; mixed outcome; all-natural fuel pipeline; best maintenance; local weather adjust impact Share and Cite