MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems

Research article (ISA Transactions, 2022) · cited 23× · AI/ML
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MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems

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MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/mininet-dense-squeeze-with-depthwise-separable-convolutions-for-image-classification-in-resource-constrained-autonomous-
MLA “MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mininet-dense-squeeze-with-depthwise-separable-convolutions-for-image-classification-in-resource-constrained-autonomous-.
BibTeX @misc{4ortxyz_mininet-dense-squeeze-with-depthwise-separable-convolutions-for-image-classification-in-resource-constrained-autonomous-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems}}, year = {2026}, url = {https://4ort.xyz/entity/mininet-dense-squeeze-with-depthwise-separable-convolutions-for-image-classification-in-resource-constrained-autonomous-}, note = {Accessed: 2026-05-24}}
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