Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.3265
Abstract: This study proposes a novel deep auto‐optimized architecture for stock price forecasting that integrates sectoral behavior with individual stock sentiment to improve predictive accuracy. Traditional stock prediction models often focus solely on individual stock behavior,… read more here.
Keywords: auto optimized; deep auto; stock; sectoral behavior ... See more keywords
A multi-ensemble method based on deep auto-encoders for fault diagnosis of rolling bearings
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107132
Abstract: Abstract A multi-ensemble method is proposed based on deep auto-encoder (DAE) for fault diagnosis of rolling bearings. At first, several DAEs with different activation functions are trained to obtain different types of features, which are… read more here.
Keywords: multi ensemble; ensemble method; diagnosis; fault diagnosis ... See more keywords
Deep Auto‐encoded Clustering Algorithm for Community Detection in Complex Networks
Sign Up to like & getrecommendations! Published in 2019 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2019.03.019
Abstract: The prevalence of deep learning has inspired innovations in numerous research fields including community detection, a cornerstone in the advancement of complex networks. We propose a novel community detection algorithm called the Deep auto-encoded clustering… read more here.
Keywords: community; complex networks; community detection; algorithm ... See more keywords
Deep Auto Encoder Based Extreme Learning System for Automatic Segmentation of Cervical Cells
Sign Up to like & getrecommendations! Published in 2021 at "IETE Journal of Research"
DOI: 10.1080/03772063.2021.1958075
Abstract: Nowadays, cervical cancer has emerged as one of the major causes of death and thus makes it incredibly difficult to identify it. In this research, three novel methods have been developed for the au... read more here.
Keywords: extreme learning; auto encoder; learning system; encoder based ... See more keywords
A Novel Cuckoo Search Optimized Deep Auto-Encoder Network-Based Fault Diagnosis Method for Rolling Bearing
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DOI: 10.1155/2020/8891905
Abstract: To enhance the performance of deep auto-encoder (AE) under complex working conditions, a novel deep auto-encoder network method for rolling bearing fault diagnosis is proposed in this paper. First, multiscale analysis is adopted to extract… read more here.
Keywords: auto; auto encoder; method; rolling bearing ... See more keywords
Enhanced deep auto encoder technique for brain tumor classification and detection
Sign Up to like & getrecommendations! Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v38.i3.pp2031-2040
Abstract: A brain tumor can develop due to uncontrolled proliferation of aberrant cells in brain tissue. Malignant tumor can influence the nearby brain tissues, potentially resulting in the person's death. Early diagnosis of a brain tumor… read more here.
Keywords: brain; auto encoder; tumor; deep auto ... See more keywords