HIGHLIGHTS
- who: Awab ur Rashid Durrani and colleagues from the Department of Computer Systems, University of and have published the research: Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification, in the Journal: PLOS ONE of December/24,/2021
- what: In the research work the authors have evaluated the performance of Convolutional Long Short-Term Memory (ConvLSTM) and deep learning techniques over various hyper-parameters setting for an imbalanced dataset and the one with highest performance is utilized for land-cover classification. The graphs represents the analysis of ConvLSTM . . .
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