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1 Ergebnisse
1
A Hybrid CNN-LSTM Model for Temporal-Spatial Analysis of Pi..:
, In:
2024 3rd International Conference for Innovation in Technology (INOCON)
,
Kaur, Arshleen
;
Kukreja, Vinay
;
Thapliyal, Nitin
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/INOCON60754.2024.10512264
RT T1 <cTitle>2024 3rd International Conference for Innovation in Technology (INOCON)</cTitle>: T1 <Title>A Hybrid CNN-LSTM Model for Temporal-Spatial Analysis of Pine Wilt Disease Severity</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10512264&Exemplar=1&LAN=DE A1 Kaur, Arshleen A1 Kukreja, Vinay A1 Thapliyal, Nitin A1 Aeri, Manisha A1 Sharma, Rishabh A1 Hariharan, Shanmugasundaram YR 2024 K1 Training K1 Analytical models K1 Technological innovation K1 Adaptation models K1 Forests K1 Systematics K1 Sensors K1 Pine Wilt Disease K1 Disease Severity Classification K1 Forest Health Monitoring K1 Convolutional Neural Networks K1 Long Short-Term Memory K1 Image Annotation K1 Remote Sensing K1 Machine Learning K1 Forest Disease Detection K1 Model Performance Analysis SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/INOCON60754.2024.10512264 DO https://doi.org/10.1109/INOCON60754.2024.10512264 SF ELIB - SuUB Bremen
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