A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22749
Abstract: The study aims to assess the detection performance of a rapid primary screening technique for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically validated samples using laboratory molecular testing (1100… read more here.
Keywords: neural network; comparative analysis; cnn lstm; cough ... See more keywords
Monitoring of volcanic ash cloud from heterogeneous data using feature fusion and convolutional neural networks–long short-term memory
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05050-y
Abstract: Heterogeneous data have become a key issue restricting the monitoring accuracy of volcanic ash cloud and rapid application of remote sensing. In view of the characteristics of classification and heterogeneous data in volcanic ash cloud… read more here.
Keywords: ash cloud; heterogeneous data; cnn lstm; volcanic ash ... See more keywords
A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems
Sign Up to like & getrecommendations! Published in 2022 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-09993-z
Abstract: Fault diagnosis plays an important role in actual production activities. As large amounts of data can be collected efficiently and economically, data-driven methods based on deep learning have achieved remarkable results of fault diagnosis of… read more here.
Keywords: diagnosis; fault diagnosis; time; cnn lstm ... See more keywords
A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07788-7
Abstract: Nowadays, social media has become a tremendous source of acquiring user’s opinions. With the advancement of technology and sophistication of the internet, a huge amount of data is generated from various sources like social blogs,… read more here.
Keywords: cnn lstm; lstm model; model; hybrid cnn ... See more keywords
A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-021-14687-8
Abstract: The water environment plays an essential role in the mangrove wetland ecosystem. Predicting water quality will help us better protect water resources from pollution, allowing the mangrove ecosystem to perform its normal ecological role. New… read more here.
Keywords: cnn lstm; water; model; water quality ... See more keywords
Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model
Sign Up to like & getrecommendations! Published in 2021 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2021.110998
Abstract: Abstract Heat loads change dynamically with meteorological conditions and user demand, and the related accurate prediction algorithms are conducive to the realization of optimized automatic control and green heating. However, a traditional load forecasting algorithm… read more here.
Keywords: district heating; heating system; cnn lstm; model ... See more keywords
Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.05.150
Abstract: Abstract Accurate short-term solar irradiance forecasting is crucial for ensuring the optimum utilization of photovoltaic power generation sources. This study addresses this issue by proposing a spatiotemporal correlation model based on deep learning. The proposed… read more here.
Keywords: lstm model; irradiance; cnn lstm; short term ... See more keywords
A hybrid CNN-LSTM model for pre-miRNA classification
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-93656-0
Abstract: miRNAs (or microRNAs) are small, endogenous, and noncoding RNAs construct of about 22 nucleotides. Cumulative evidence from biological experiments shows that miRNAs play a fundamental and important role in various biological processes. Therefore, the classification… read more here.
Keywords: cnn lstm; classification; pre mirna; mirna classification ... See more keywords
Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac7f5d
Abstract: Objective. The neurocognitive attention functions involve the cooperation of multiple brain regions, and the defects in the cooperation will lead to attention-deficit/hyperactivity disorder (ADHD), which is one of the most common neuropsychiatric disorders for children.… read more here.
Keywords: lstm model; cnn lstm; attention deficit; model ... See more keywords
Multi-View CNN-LSTM Architecture for Radar-Based Human Activity Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150838
Abstract: In this paper, we propose a Multi-View Convolutional Neural Network and Long Short-Term Memory (CNN-LSTM) network which fuses multiple “views” of the time-range-Doppler radar data-cube for human activity recognition. It adopts the structure of convolutional… read more here.
Keywords: human activity; cnn lstm; multi view; activity recognition ... See more keywords
TD-CNN-LSTM: A Hybrid approach combining CNN and LSTM to classify brain tumor on 3D MRI scans performing ablation study
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179577
Abstract: Identification of brain tumors and accurate grading at an early stage are crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges and risks of tumor biopsies, noninvasive… read more here.
Keywords: cnn lstm; cnn; brain; mri ... See more keywords