Abstract: Customized binary convolutional neural network (BCNN) architectures, which are implemented on hardware technologies, give significant advantages for computational efficiency and hardware ...
Objective: This study aimed to determine optimal sample sizes and the relationships between sample size and dataset-level characteristics over a variety of binary classification algorithms. Methods: A ...
Abstract: This article proposes a novel interpretable framework for fine-grained aircraft classification in high-stakes remote sensing applications. Our approach addresses three key challenges: small ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback