An Intelligent Metaheuristic Binary Pigeon Optimization-Based Feature Selection and Big Data Classification in a MapReduce Environment

Big Data are highly effective for systematically extracting and analyzing massive data.It can be useful to manage data proficiently over the conventional data handling approaches.Recently, several schemes have been developed for Cleansing Lotion handling big datasets with several features.At the same time, feature selection (FS) methodologies inten

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Characterization, optimization and emission analysis of manually-made charcoal dust briquettes with starch, paper and algae binders

Utilization of Pre-Rolled loose waste biomass such as charcoal dust remains popular in low-to mid-income countries due to increased energy demands, poverty and heighten efforts to mitigate climate change.This study sought to investigate the effects of starch, paper and algae binders on the physical, mechanical and combustion characteristics and emi

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