Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02696-6
Abstract: Automatic and accurate prognosis of myocardial infarction (MI) using electrocardiogram (ECG) signals is a challenging task for the diagnosis and treatment of heart diseases. MI is also referred as a “Heart Attack”, which is the… read more here.
Keywords: technique; detection; ecg; myocardial infarction ... 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 hybrid CNN-LSTM model for pre-miRNA classification
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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
A Hybrid CNN Based on Global Reasoning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3199208
Abstract: In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral images (HSIs) classification. However, 2-D CNN, 3-D CNN, and even the newly emerged hybrid CNN (HCNN) all require multiple or deep CNN… read more here.
Keywords: hcnn; classification; hybrid cnn; based global ... See more keywords
Hybrid CNN-SVM Classifier Approaches to Process Semi-Structured Data in Sugarcane Yield Forecasting Production
Sign Up to like & getrecommendations! Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13041169
Abstract: Information communication technology (ICT) breakthroughs have boosted global social and economic progress. Most rural Indians rely on agriculture for income. The growing population requires modern agricultural practices. ICT is crucial for educating farmers on how… read more here.
Keywords: classifier approaches; soil moisture; cnn svm; hybrid cnn ... See more keywords
A Hybrid CNN-LSTM Model for SMS Spam Detection in Arabic and English Messages
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DOI: 10.3390/fi12090156
Abstract: Despite the rapid evolution of Internet protocol-based messaging services, SMS still remains an indisputable communication service in our lives until today. For example, several businesses consider that text messages are more effective than e-mails. This… read more here.
Keywords: arabic english; cnn lstm; hybrid cnn; model ... See more keywords
Diabetic Retinopathy Classification Using CNN and Hybrid Deep Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091932
Abstract: Diabetic Retinopathy (DR) is an eye condition that mainly affects individuals who have diabetes and is one of the important causes of blindness in adults. As the infection progresses, it may lead to permanent loss… read more here.
Keywords: cnn hybrid; cnn densenet; classification; hybrid cnn ... See more keywords