FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387407872> ?p ?o ?g. }

• W4387407872 endingPage "8265" @default.
• W4387407872 startingPage "8265" @default.
• W4387407872 abstract "In recent years, the rapid progress of Internet of Things (IoT) solutions has offered an immense opportunity for the collection and dissemination of health records in a central data platform. Electrocardiogram (ECG), a fast, easy, and non-invasive method, is generally employed in the evaluation of heart conditions that lead to heart ailments and the identification of heart diseases. The deployment of IoT devices for arrhythmia classification offers many benefits such as remote patient care, continuous monitoring, and early recognition of abnormal heart rhythms. However, it is challenging to diagnose and manually classify arrhythmia as the manual diagnosis of ECG signals is a time-consuming process. Therefore, the current article presents the automated arrhythmia classification using the Farmland Fertility Algorithm with Hybrid Deep Learning (AAC-FFAHDL) approach in the IoT platform. The proposed AAC-FFAHDL system exploits the hyperparameter-tuned DL model for ECG signal analysis, thereby diagnosing arrhythmia. In order to accomplish this, the AAC-FFAHDL technique initially performs data pre-processing to scale the input signals into a uniform format. Further, the AAC-FFAHDL technique uses the HDL approach for detection and classification of arrhythmia. In order to improve the classification and detection performance of the HDL approach, the AAC-FFAHDL technique involves an FFA-based hyperparameter tuning process. The proposed AAC-FFAHDL approach was validated through simulation using the benchmark ECG database. The comparative experimental analysis outcomes confirmed that the AAC-FFAHDL system achieves promising performance compared with other models under different evaluation measures." @default.
• W4387407872 created "2023-10-07" @default.
• W4387407872 creator A5024079346 @default.
• W4387407872 creator A5040648860 @default.
• W4387407872 creator A5049069930 @default.
• W4387407872 creator A5068566895 @default.
• W4387407872 creator A5073138968 @default.
• W4387407872 creator A5076483370 @default.
• W4387407872 date "2023-10-06" @default.
• W4387407872 modified "2023-10-17" @default.
• W4387407872 title "Automated Arrhythmia Classification Using Farmland Fertility Algorithm with Hybrid Deep Learning Model on Internet of Things Environment" @default.
• W4387407872 cites W2162800060 @default.
• W4387407872 cites W3046118769 @default.
• W4387407872 cites W3132578227 @default.
• W4387407872 cites W3132891952 @default.
• W4387407872 cites W3137863299 @default.
• W4387407872 cites W3185646120 @default.
• W4387407872 cites W3195381730 @default.
• W4387407872 cites W4210919258 @default.
• W4387407872 cites W4213231248 @default.
• W4387407872 cites W4220977624 @default.
• W4387407872 cites W4293481488 @default.
• W4387407872 cites W4306412285 @default.
• W4387407872 cites W4309043965 @default.
• W4387407872 cites W4315781229 @default.
• W4387407872 cites W4319432507 @default.
• W4387407872 cites W4319455854 @default.
• W4387407872 cites W4360994328 @default.
• W4387407872 cites W4366123657 @default.
• W4387407872 cites W4367315386 @default.
• W4387407872 cites W4368275835 @default.
• W4387407872 cites W4384461240 @default.
• W4387407872 doi "https://doi.org/10.3390/s23198265" @default.
• W4387407872 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37837102" @default.
• W4387407872 hasPublicationYear "2023" @default.
• W4387407872 type Work @default.
• W4387407872 citedByCount "0" @default.
• W4387407872 crossrefType "journal-article" @default.
• W4387407872 hasAuthorship W4387407872A5024079346 @default.
• W4387407872 hasAuthorship W4387407872A5040648860 @default.
• W4387407872 hasAuthorship W4387407872A5049069930 @default.
• W4387407872 hasAuthorship W4387407872A5068566895 @default.
• W4387407872 hasAuthorship W4387407872A5073138968 @default.
• W4387407872 hasAuthorship W4387407872A5076483370 @default.
• W4387407872 hasBestOaLocation W43874078721 @default.
• W4387407872 hasConcept C105339364 @default.
• W4387407872 hasConcept C108583219 @default.
• W4387407872 hasConcept C111919701 @default.
• W4387407872 hasConcept C116834253 @default.
• W4387407872 hasConcept C119857082 @default.
• W4387407872 hasConcept C124101348 @default.
• W4387407872 hasConcept C13280743 @default.
• W4387407872 hasConcept C154945302 @default.
• W4387407872 hasConcept C164705383 @default.
• W4387407872 hasConcept C165696696 @default.
• W4387407872 hasConcept C185798385 @default.
• W4387407872 hasConcept C205649164 @default.
• W4387407872 hasConcept C2779161974 @default.
• W4387407872 hasConcept C2988455589 @default.
• W4387407872 hasConcept C38652104 @default.
• W4387407872 hasConcept C41008148 @default.
• W4387407872 hasConcept C59822182 @default.
• W4387407872 hasConcept C71924100 @default.
• W4387407872 hasConcept C8642999 @default.
• W4387407872 hasConcept C86803240 @default.
• W4387407872 hasConcept C98045186 @default.
• W4387407872 hasConceptScore W4387407872C105339364 @default.
• W4387407872 hasConceptScore W4387407872C108583219 @default.
• W4387407872 hasConceptScore W4387407872C111919701 @default.
• W4387407872 hasConceptScore W4387407872C116834253 @default.
• W4387407872 hasConceptScore W4387407872C119857082 @default.
• W4387407872 hasConceptScore W4387407872C124101348 @default.
• W4387407872 hasConceptScore W4387407872C13280743 @default.
• W4387407872 hasConceptScore W4387407872C154945302 @default.
• W4387407872 hasConceptScore W4387407872C164705383 @default.
• W4387407872 hasConceptScore W4387407872C165696696 @default.
• W4387407872 hasConceptScore W4387407872C185798385 @default.
• W4387407872 hasConceptScore W4387407872C205649164 @default.
• W4387407872 hasConceptScore W4387407872C2779161974 @default.
• W4387407872 hasConceptScore W4387407872C2988455589 @default.
• W4387407872 hasConceptScore W4387407872C38652104 @default.
• W4387407872 hasConceptScore W4387407872C41008148 @default.
• W4387407872 hasConceptScore W4387407872C59822182 @default.
• W4387407872 hasConceptScore W4387407872C71924100 @default.
• W4387407872 hasConceptScore W4387407872C8642999 @default.
• W4387407872 hasConceptScore W4387407872C86803240 @default.
• W4387407872 hasConceptScore W4387407872C98045186 @default.
• W4387407872 hasFunder F4320322484 @default.
• W4387407872 hasIssue "19" @default.
• W4387407872 hasLocation W43874078721 @default.
• W4387407872 hasLocation W43874078722 @default.
• W4387407872 hasOpenAccess W4387407872 @default.
• W4387407872 hasPrimaryLocation W43874078721 @default.
• W4387407872 hasRelatedWork W1496222301 @default.
• W4387407872 hasRelatedWork W1590307681 @default.
• W4387407872 hasRelatedWork W2296488620 @default.
• W4387407872 hasRelatedWork W2353836703 @default.
• W4387407872 hasRelatedWork W2358353312 @default.

• next