Abstract As climate change accelerates, human societies face growing exposure to disasters and stress, highlighting the urgent need for effective early warning systems (EWS).These systems monitor, assess, and communicate risks to support resilience and sustainable development, but challenges remain in hazard forecasting, risk communication, and dec
Time series identification is one of the key approaches to dealing with time series data and discovering the change rules.Therefore, time series forecasting can be treated as one of the most challenging issues in this field.In order to improve the forecasting performance, we propose a novel time series prediction model based ford tridon on a comple
Feruloyl esterases (FAEs) can reduce the recalcitrance of lignocellulosic biomass to enzymatic hydrolysis, thereby enhancing biorefinery potentials or animal feeding values of the biomass.In addition, ferulic acid, a product of FAE activity, has applications in pharmaceutical and food/beverage industries.It is therefore of great interest to identif
Ramadan is a lunar based month, during which Muslims across the world observe the ritual fast.This provides a challenge not only to the diabetic patient who wishes to observe the fast but also to the health care professional managing his diabetes.The challenge is to use therapies which are effective in caneta clareadora dental maintaining good glyc
The application of machine learning algorithms to the detection of fraudulent credit card transactions is yoowe bacanora a challenging problem domain due to the high imbalance in the datasets and confidentiality of financial data.This implies that legitimate transactions make up a high majority of the datasets such that a weak model with 99% accura