Search: Depthwise separable convolution — Academic Articles

YOLOv11n-GrapeLite: A Lightweight Multi-Variety Grape Recognition Model

Yahui Luo, Guangsheng Gao, Wenwu Hu, Pin Jiang et al. • Agriculture (2026)

To address the challenges of rapid and accurate grape variety identification in natural orchard environments, along with the demand for efficient deployment on mobile devices, we propose in this paper YOLOv11n-GrapeLite, a lightweight model...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture16070794

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A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method

Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi et al. • Sensors (2024)

Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power cardiac arrhythmia classifiers owing to their high weight compression rate. However, multi-class classification of ECG signals based on bCN...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24227207

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DWSTr: a hybrid framework for ship-radiated noise recognition

Yan Wang, Hao Zhang, Wei Huang, Manli Zhou et al. • Frontiers in Marine Science (2024)

The critical nature of passive ship-radiated noise recognition for military and economic security is well-established, yet its advancement faces significant obstacles due to the complex marine environment. The challenges include natural sou...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmars.2024.1334057

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Academic Articles & Research Papers

YOLOv11n-GrapeLite: A Lightweight Multi-Variety Grape Recognition Model

A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution–Pooling Method

DWSTr: a hybrid framework for ship-radiated noise recognition