Construction of prior models for ES-MDA by a deep neural network with a stacked autoencoder for predicting reservoir production
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.106800
Abstract: Abstract The design of prior models has continued to receive research attention because of their importance for ensemble-based methods. There are two approaches to ensemble design: selection and regeneration. Both strategies try to utilize dynamic… read more here.
Keywords: prior models; deep neural; production; model ... See more keywords
Prediction of potential miRNA-disease associations based on stacked autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac021
Abstract: In recent years, increasing biological experiments and scientific studies have demonstrated that microRNA (miRNA) plays an important role in the development of human complex diseases. Therefore, discovering miRNA-disease associations can contribute to accurate diagnosis and… read more here.
Keywords: disease associations; mirna disease; potential mirna; disease ... See more keywords
Stacked Autoencoder-Based Intrusion Detection System to Combat Financial Fraudulent
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3041184
Abstract: With the rapid progress of wireless communication technologies along with their digital revolutions, the quantity of the Internet of Things (IoT) has been increased by manifolds, resulting in a huge increase in data volume and… read more here.
Keywords: intrusion detection; system; network; stacked autoencoder ... See more keywords
Stacked Autoencoder-Based Probabilistic Feature Extraction for On-Device Network Intrusion Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3078292
Abstract: Due to the outbreak of recent network attacks, it is necessary to develop a robust network intrusion detection system (NIDS) that can quickly and effectively identify the network attack. Although the state-of-the-art detection algorithms have… read more here.
Keywords: intrusion detection; network; stacked autoencoder; network intrusion ... See more keywords
A Novel Double-Stacked Autoencoder for Power Transformers DGA Signals With An Imbalanced Data Structure
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3059543
Abstract: Artificial intelligence is the general trend in the field of power equipment fault diagnosis. However, limited by operation characteristics and data defects, the application of the intelligent diagnosis method in power transformers is still in… read more here.
Keywords: power transformers; stacked autoencoder; power; novel double ... See more keywords
Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3172480
Abstract: Modern complexities associated with an arterial traffic makes existing safety prediction methods insufficient to meet desired standards required by recent developmental needs. This paper proposes an enhanced active safety prediction method based on big-data approach… read more here.
Keywords: safety; stacked autoencoder; recurrent unit; autoencoder gated ... See more keywords
Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9223599
Abstract: Emotion recognition based on brain signals has increasingly become attractive to evaluate human's internal emotional states. Conventional emotion recognition studies focus on developing machine learning and classifiers. However, most of these methods do not provide… read more here.
Keywords: network; stacked autoencoder; topographic map; brain ... See more keywords