The evaluation of power demand is fundamental in the Economic Load Dispatch problem, ensuring that the generated power meets the needs of consumers reliably and efficiently in planning system operations.This paper presented two approaches Lip Stick using an Adaptive Neuro-Fuzzy Inference System (ANFIS) and an Artificial Neural Network (ANN) to eval
Global Environmental Assessments (GEAs) are in a unique position to influence environmental decision-making in the context of sustainability challenges.To do this effectively, however, new methods are needed to respond to the needs of decision-makers for a more integrated, contextualized and goal-seeking evaluation of different policies, geared for
Abstract Background Shi Zheng (SZ, syndrome of dampness) is a major syndrome type in GRINDERS traditional Chinese Medicine (TCM), the ambiguity of its pathomechanism and the lack of blood diagnostic indicators have limited the understanding of the development of SZ.Purpose To explore the pathological mechanism of SZ and establish a symptom-centered
From the perspective of FDR (fault detection rate), which is an indispensable component in reliability modeling, this paper proposes two kinds of reliability models under imperfect debugging.This model is a relatively flexible and unified software reliability growth model.First, this paper examines the incomplete phenomenon of debugging and fault r