Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226261938> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4226261938 endingPage "214" @default.
- W4226261938 startingPage "205" @default.
- W4226261938 abstract "Myocardial infarction is deadly disease, which highly threatens the human life globally. Therefore, it is significant to detect the myocardial infarction in order to save the human life. In this paper, the improved invasive weed sine cosine optimization algorithm-based deep convolutional neural network (IIWSCOA-based DCNN) is developed for early classification of myocardial infarction. The Gaussian filter and median filter are employed in this model for removing the noises from ECG signal. While extracting features for classification process poses several benefits, which includes reducing computational costs, and improving classification accuracy. The DCNN classifier is trained by developed optimization algorithm, named IIWSCOA. However, the proposed IIWSCOA optimization algorithm is newly devised by incorporating improved invasive weed optimization (IIWO) and sine cosine algorithm (SCA). The performance of the developed myocardial infarction classification approach is evaluated using several performance metrics, such as accuracy, sensitivity, and specificity with the values of 0.9102, 0.9142, and 0.9124 while analyzed on Physikalisch-Technische Bundesanstalt (PTB) diagnostic ECG database that comprises 549 records that are collected from 290 patients." @default.
- W4226261938 created "2022-05-05" @default.
- W4226261938 creator A5042245215 @default.
- W4226261938 creator A5076112534 @default.
- W4226261938 date "2022-01-01" @default.
- W4226261938 modified "2023-10-18" @default.
- W4226261938 title "IIWSCOA-Based DCNN: Improved Invasive Weed Sine Cosine Optimization Algorithm for Early Detection of Myocardial Infarction Using Deep Convolution Neural Network" @default.
- W4226261938 cites W2914231497 @default.
- W4226261938 cites W2928448622 @default.
- W4226261938 cites W2947860185 @default.
- W4226261938 cites W2980825080 @default.
- W4226261938 cites W3038416930 @default.
- W4226261938 cites W3093635124 @default.
- W4226261938 doi "https://doi.org/10.1007/978-981-16-9669-5_19" @default.
- W4226261938 hasPublicationYear "2022" @default.
- W4226261938 type Work @default.
- W4226261938 citedByCount "0" @default.
- W4226261938 crossrefType "book-chapter" @default.
- W4226261938 hasAuthorship W4226261938A5042245215 @default.
- W4226261938 hasAuthorship W4226261938A5076112534 @default.
- W4226261938 hasConcept C11413529 @default.
- W4226261938 hasConcept C115961682 @default.
- W4226261938 hasConcept C126255220 @default.
- W4226261938 hasConcept C153180895 @default.
- W4226261938 hasConcept C154945302 @default.
- W4226261938 hasConcept C186661526 @default.
- W4226261938 hasConcept C2524010 @default.
- W4226261938 hasConcept C2987595161 @default.
- W4226261938 hasConcept C33923547 @default.
- W4226261938 hasConcept C41008148 @default.
- W4226261938 hasConcept C50644808 @default.
- W4226261938 hasConcept C65892221 @default.
- W4226261938 hasConcept C81363708 @default.
- W4226261938 hasConcept C95623464 @default.
- W4226261938 hasConceptScore W4226261938C11413529 @default.
- W4226261938 hasConceptScore W4226261938C115961682 @default.
- W4226261938 hasConceptScore W4226261938C126255220 @default.
- W4226261938 hasConceptScore W4226261938C153180895 @default.
- W4226261938 hasConceptScore W4226261938C154945302 @default.
- W4226261938 hasConceptScore W4226261938C186661526 @default.
- W4226261938 hasConceptScore W4226261938C2524010 @default.
- W4226261938 hasConceptScore W4226261938C2987595161 @default.
- W4226261938 hasConceptScore W4226261938C33923547 @default.
- W4226261938 hasConceptScore W4226261938C41008148 @default.
- W4226261938 hasConceptScore W4226261938C50644808 @default.
- W4226261938 hasConceptScore W4226261938C65892221 @default.
- W4226261938 hasConceptScore W4226261938C81363708 @default.
- W4226261938 hasConceptScore W4226261938C95623464 @default.
- W4226261938 hasLocation W42262619381 @default.
- W4226261938 hasOpenAccess W4226261938 @default.
- W4226261938 hasPrimaryLocation W42262619381 @default.
- W4226261938 hasRelatedWork W2563096758 @default.
- W4226261938 hasRelatedWork W2767651786 @default.
- W4226261938 hasRelatedWork W2912288872 @default.
- W4226261938 hasRelatedWork W2936488316 @default.
- W4226261938 hasRelatedWork W2972035100 @default.
- W4226261938 hasRelatedWork W4225852842 @default.
- W4226261938 hasRelatedWork W4306753247 @default.
- W4226261938 hasRelatedWork W4386053843 @default.
- W4226261938 hasRelatedWork W564581980 @default.
- W4226261938 hasRelatedWork W3158004940 @default.
- W4226261938 isParatext "false" @default.
- W4226261938 isRetracted "false" @default.
- W4226261938 workType "book-chapter" @default.