Results 41 to 50 of about 1,858,056 (293)
A comprehensive framework from real‐time prognostics to maintenance decisions
IET Collaborative Intelligent Manufacturing, 2021 Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the
Amit Kumar Jain +4 more
doaj +1 more source
Neural Network Ensembles for Time Series Prediction [PDF]
, 2007 Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predictive engine shifts from the historical auto-regression to modelling complex
Ruta, Dymitr +3 more
core +1 more source
CAAI Transactions on Intelligence Technology, 2021 The problem of automatic and accurate forecasting of time‐series data has always been an interesting challenge for the machine learning and forecasting community.
Rohit Kaushik +3 more
doaj +1 more source
Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs [PDF]
, 2001 Haschke R, Steil JJ, Ritter H. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In: Dorffner G, Bischof H, Hornik K, eds. Artificial Neural Networks - ICANN 2001. Lecture notes in computer science.
Dorffner, Georg +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source
Applications of recurrent neural networks in batch reactors. Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature [PDF]
, 1998 Although nonlinear inverse and predictive control techniques based on artificial neural networks have been extensively applied to nonlinear systems, their use in real time applications is generally limited.
Zaldívar, J.M., Galván, Inés M.
core +1 more source
Real‐time vehicle detection using segmentation‐based detection network and trajectory prediction
IET Computer VisionThe position of vehicles is determined using an algorithm that includes two stages of detection and prediction. The more the number of frames in which the detection network is used, the more accurate the detector is, and the more the prediction network ...
Nafiseh Zarei +2 more
doaj +1 more source
Self-Organizing Recurrent Interval Type-2 Petri Fuzzy Design for Time-Varying Delay Systems
IEEE Access, 2019 This paper presents a design of a self-organizing recurrent interval type-2 Petri fuzzy controller (SORIT2PFC) for controlling the time-varying delay systems.
Tien-Loc Le
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Stock values predictions using deep learning based hybrid models
CAAI Transactions on Intelligence Technology, 2022 Predicting the correct values of stock prices in fast fluctuating high‐frequency financial data is always a challenging task. A deep learning‐based model for live predictions of stock values is aimed to be developed here.
Konark Yadav +2 more
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source