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1 Ergebnisse
1
Exploring the Experimental Effectiveness of a Hybrid Deep L..:
, In:
2024 International Conference on Computing and Data Science (ICCDS)
,
Anitha, K.
;
Lavanya, V.
;
Chitra, P.
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICCDS60734.2024.10560401
RT T1 <cTitle>2024 International Conference on Computing and Data Science (ICCDS)</cTitle>: T1 <Title>Exploring the Experimental Effectiveness of a Hybrid Deep Learning Approach in Detecting Thyroid Disease using Intelligent Predictions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10560401&Exemplar=1&LAN=DE A1 Anitha, K. A1 Lavanya, V. A1 Chitra, P. A1 Valarmathy, A. S. A1 Alekhya, Badi A1 P, Ragini Y YR 2024 K1 Support vector machines K1 Accuracy K1 Sensitivity K1 Vectors K1 Robustness K1 Classification algorithms K1 Medical diagnosis K1 Bidirectional Feature Elimination (BiDFE) K1 Long Short-Term Memory (LSTM) K1 Support Vector Machine (SVM) K1 Synthetic Minority Over-sampling Technique (SMOTE) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICCDS60734.2024.10560401 DO https://doi.org/10.1109/ICCDS60734.2024.10560401 SF ELIB - SuUB Bremen
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