This article presents electricity demand forecasting models for industrial and residential facilities, developed using ensemble machine learning strategies.Short term electricity demand forecasting is beneficial for both consumers and suppliers, as it allows improving energy efficiency policies and the rational use of resources.Computational intell
Flavonoids in nature are known to possess various activities such as anti-inflammatory, antimicrobial, anticancer, antioxidant, neuroprotective, anti-HIV activities etc., The molecular docking Pump Drive Belt was performed by 26 naturally occurring flavonoids with selected targets COX-2, hydroxyacyl-ACP dehydratase, tyrosinase from Agaricus bisporu
Sino-Vietnamese bilingual dictionaries of the Middle Ages and the Modern Ages serve as crucial source materials for the examination of the historical evolution of bilingual lexicography within the realm of East Tech Asian Chinese characters.Despite their significance, the scholarly community has bestowed limited attention on this subject, leaving n
Abstract Introduction Dubowitz syndrome is a very rare, autosomal recessive disease characterized by microcephaly, growth retardation, a high sloping forehead, facial asymmetry, blepharophimosis, sparse hair and eyebrows, low-set ears and mental Electric Juicers retardation.Symptoms vary between patients, but other characteristics include a soft hi
This study applied a nuclear technique based on thermalized neutrons (TNs) to estimate maize yield losses arising from water shortage.Crop biomass consists of water, and light Dining hydrogen (1H) existing in water slows down fast neutrons.Hence, TNs can be probably suitable predictors to determine crop losses.A greenhouse experiment was performed