Albeit simple and easy to interpret, a piecewise representation of time series comes with discontinuities that inevitably lead to substantial representation (approximation) error. In this study, we present models of time series with time granulation that reduce representation errors and subsequently give ...
Several abnormalities in the normal function of these components have been found to promote OA in the joint (Fig.1b). Mechanical abrasion in the knee can lead to the progressive degenerative changes in the meniscus with loss of both type I and, more severely, type II collagen [20,32]. Th...
Here, we present an ensemble approach where one such computationally expensive tool, discrete element method, is combined with time-series forecasting via auto regressive integrated moving average and machine learning methods to simulate a complex pharmaceutical problem: development of an agitation protocol...
Flowsheet models for continuous direct compression, dry granulation, and wet granulation, shown in Figure 2, have already been developed and demonstrated for their potential use in process design and optimization (15). Such multiplicity of models leads to a flexible flowsheet modeling platform that ...
Information GranulationANFIS-based Fuzzy Inference SystemIn this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of ANFIS-based fuzzy models based on SSA and information granulation (IG). In comparison with "conventional" evolutionary algorithms (such as PSO...
(Fig.1a, step 7). The first rounds of screening revealed a series of TNIK inhibitors with nanomolar-level binding affinity. However, in vitro absorption, distribution, metabolism and excretion profiling of the primary lead compounds revealed their high clearance in human and mice liver microsomes,...
As disc degeneration progresses, nascent vascular nerve endings grow inward along the fissure to form inflammatory granulation tissue that leads to the distribution of vessels and nerves inside the disc, even within the nucleus pulposus[2]. During this process, biochemical, metabolic, inflammatory and...
article{194237, author = {GRIJSPEERDT, K and Vanrolleghem, Peter and Verstraete, Willy}, issn = {0273-1223}, journal = {WATER SCIENCE AND TECHNOLOGY}, language = {eng}, number = {2}, pages = {193--204}, title = {SELECTION OF ONE-DIMENSIONAL SEDIMENTATION - MODELS FOR ONLINE USE...
With the continuous development of artificial intelligence, deep machine learning models has been successfully implemented to forecast air quality using time series air pollutant and meteorological datasets with excellent performances15. Some scholars also look forward to the research on air quality ...
Combination of time series forecasts using neural network Forecast combination, which is a method to combine the result of several predictors, offers a way to improve the forecast result. Several methods have been... A Widodo,I Budi - International Conference on Electrical Engineering & Informatics...