Výsledky vyhledávání - RNN-LSTM autoencoder

Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale Autor Yu, Jianbo, Yan, Xuefeng

“…The interactions among the gauged data in most exiting real-life cases are correlative inevitably given the complicated behavior of process systems, that is…”
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Variational Autoencoders for Anomaly Detection and Transfer Knowledge in Electricity and District Heating Consumption Autor Shahid, Zahraa Khais, Saguna, Saguna, Ahlund, Christer

“…Real-time anomaly detection in energy consumption supports identifying issues related to technical and user behaviour that result in significant energy waste…”
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Autoencoders for Anomaly Detection in Electricity and District Heating Consumption: A Case Study in School Buildings in Sweden Autor Shahid, Zahraa Khais, Saguna, Saguna, Ahlund, Christer

“… We evaluated the performance of three proposed models, stacked RNN-LSTM autoencoder, CNN-LSTM autoencoder, and LSTM Variational Autoencoder (VAE…”
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Short-Term Fault Prediction of Wind Turbines Based on Integrated RNN-LSTM Autor Rama, V Siva Brahmaiah, Hur, Sung-Ho, Yang, Jung-Min

“…This paper presents a data-driven approach to short-term wind turbine fault prediction and condition monitoring based on a hybrid architecture of recurrent…”
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RNN-based Method for Fault Diagnosis of Grinding System Autor Xing-yu, Qu, Peng, Zeng, Chengcheng, Xu, Dong-dong, Fu

“… Aiming at the above problems, a RNN-LSTM based deep learning method is proposed in the paper, which realizes the intelligent fault diagnosis of grinding system…”
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A Novel Deep Learning Framework Based RNN-SAE for Fault Detection of Electrical Gas Generator Autor Alrifaey, Moath, Lim, Wei Hong, Ang, Chun Kit

“…The electrical generator is the key part of the electrical generation system for the oil and gas industry, and it is easy to fail, which disturbs the…”
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A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams Autor Al-Qudah, Mohammed, AlMahamid, Fadi

“…: RNN-LSTM, autoencoder neural networks (ANN), and Gradient Boosting (GBoosting). Experiments on the IoTID20 dataset shows that GBoosting consistently delivers…”
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Towards Efficient Predictive Maintenance: Evaluating LSTM Autoencoders, CNNs, and RNNs for Industrial Machinery Anomaly Detection Autor Hossian, Md. Ismail, Anonto, Hasanur Zaman, Roy, Sudipto, Arif, Nur Uddin Mahmud, Ashraf, Md Sazid, Rezwan, Nasimur, Shufian, Abu

“…This work investigates a variety of anomaly detection models in the scope of machinery faults including the 1D CNN, LSTM Autoencoders, RNN architectures…”
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Comparative analysis of speaker identification performance using deep learning, machine learning, and novel subspace classifiers with multiple feature extraction techniques Autor Keser, Serkan, Gezer, Esra

“…•For the first time in the literature, speaker identification was achieved using HCF.•Many hybrid algorithms were tested in the study.•Six different feature…”
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Zero-Day Malware Detection Using Autoencoder and Hybrid Deep Learning Model Autor Sai Kiran, Chintha Reddy, S, Hariharasitaraman, Ahmed, Sajjad, Phulre, Ajay Kumar

“… Known malware is classified using an RNN-LSTM model, while an Autoencoder detects unfamiliar threats by learning typical benign behavior and flagging anomalies…”
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Generative machine learning for de novo drug discovery: A systematic review Autor Martinelli, Dominic D.

“…Recent research on artificial intelligence indicates that machine learning algorithms can auto-generate novel drug-like molecules. Generative models have…”
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Predicting the Risk of Depression Based on ECG Using RNN Autor Noor, Sumaiya Tarannum, Asad, Syeda Tasmiah, Khan, Mohammad Monirujjaman, Gaba, Gurjot Singh, Al-Amri, Jehad F., Masud, Mehedi

“…). This proposed model uses a Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) autoencoder to predict normal, abnormal, and PVC heartbeats…”
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A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation Autor Koutroumpa, Nikoletta-Maria, Papavasileiou, Konstantinos D., Papadiamantis, Anastasios G., Melagraki, Georgia, Afantitis, Antreas

“…The discovery and development of new drugs are extremely long and costly processes. Recent progress in artificial intelligence has made a positive impact on…”
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Comparative study of deep learning models for Parkinson’s disease detection Autor Salihu Aliero, Abdulaziz, Malhotra, Neha

“…•Models evaluated include: MLP, RNN-LSTM, GRU,GAN and Autoencoder using voice data.•Performance assessed using standard metrics such as accuracy, precision, recall, and F1-score…”
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Deep Learning Paradigms for Multi-Dimensional Big Data Analytics: A Critical Assessment Autor Praveena Mandapati

“…), and autoencoders in transaction fraud detection over the Kaggle “Credit Card Fraud Detection” dataset that contains more than 284000 transactions…”
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AI for Threat Detection & Response Autor Kanani, Yash Dipakkumar, Daruwala, Zubin Dhanjhisha, Khara, Balvant Shantilal, Anand, Praneta Siddharth, Patel, Miki Kantibhai, V N, Dr. Kamalesh

“… (CNN, RNN/LSTM, Autoencoders…”
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An improved long short-term memory with denoising autoencoder for solving text classification problems Autor Alija, Amani Saleh, Yahaya, Nor Adnan

“…, weak, and chaotic components. This paper proposes a new model referred to as DAE-LSTM for reducing data dimension through the use of a denoising autoencoder…”
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Intrusion Detection System in Wireless Sensor Networks using Modified Recurrent Neural Network with Long Short-Term Memory Autor Ramkumar, K., Alzubaidi, Laith H., Malathy, V, Venkatesh, T., C G, Kruthika

“… This paper introduces a novel approach: a modified Recurrent Neural Network with Long Short-Term Memory (RNN-LSTM…”
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Deep Learning-Based Autonomous Anomaly Detection for Security in SDN-IoT Networks Autor Lakshan Yasarathna, Tharindu, Liyanage, Madhusanka, Le-Khac, Nhien-An

“…Converging Software-Defined Networking (SDN) and the Internet of Things (IoT) has directed innovative network architectures and applications. However, this…”
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A Predictive Approach For Assessing Medication Responsiveness in Breast Cancer Through Analysis of Gene Data Autor Gupta, Kimmi, Singh, Jagendra, Singh, Harender Pratap, Singh, Manoj Kumar, Gupta, Nitin, Roohani, Basudeo Singh

“…Breast cancer remains one of the leading causes of cancer-related deaths worldwide, with treatment responses varying wildly among patients. The inability to…”
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