Hassan Hashemi, Mehdi Khabazkhoob, Carla Lança, Mohammad Hassan Emamian, Akbar Fotouhi
Prevalence of anisometropia and its associated factors in school-age children
Strabismus
reliable modeling oily wastewater emphasizes paramount importance sustainable healthconscious wastewater management practices directly aligns sustainable development goals sdg also meeting guidelines world health organization research explores efficiency utilizing polypyrrolecoated ceramicpolymeric membranes model oily wastewater separation efficiency se permeate flux pf based established experimental procedures area computational simulation still needs explored study developed predictive regression models including robust linear regression rlr stepwise linear regression swr linear regression lr ceramicpolymeric porous membrane aiming interpret complex performance across diverse conditions thus develop utility oily wastewater treatment applications subsequently novel simple average ensemble paradigm explored reduce errors improve prediction skills prior development model stability reliability analysis data conducted based philip perron tests bartlett kernel estimation method accuracy se exhibited high consistency averaging 9992 minimal variability standard deviation 0026 potentially simplifying prediction compared pf modes validated evaluated using metrics like mae rmse speed mse addition 2d graphical cumulative distribution function graphs lr model emerged best lowest rmse 021951 indicating superior prediction accuracy followed closely rlr rmse 022359 swlr highest rmse 034573 marked dominance prediction speed 110 observations per second notably rlr model justified reduction error approximately 3529 compared swlr moreover training efficiency lr model exceeded demanding mere 29252 marking reduction 3254 compared swlr improved simple ensemble learning proved merit three models regarding error accuracy study emphasizes essential role softcomputing learning optimizing design performance ceramicpolymeric membranes