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LWDN: lightweight DenseNet model for plant disease diagnosis
Plant disease diagnosis in smart agriculture is a crucial issue that carries substantial economic significance on a global scale. To address this...
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T-KD: two-tier knowledge distillation for a lightweight underwater fish species classification model
The classification of underwater fish species holds significant importance for fisheries management. Nevertheless, existing deep fish classification...
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Detection method for tea leaf blight in natural scene images based on lightweight and efficient LC3Net model
The discovery and localization of tea leaf blight (TLB) are crucial for tea-producing areas to resist the disease in good time and enhance tea yield...
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StoneNet: An Efficient Lightweight Model Based on Depthwise Separable Convolutions for Kidney Stone Detection from CT Images
Kidney stone disease is one of the most common and serious health problems in much of the world, leading to many hospitalizations with severe pain....
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Detection of surfacing white shrimp under hypoxia based on improved lightweight YOLOv5 model
White shrimp typically surface to breathe in the absence of adequate oxygen, and detecting this abnormal behavior can help better exploit the...
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A passion fruit counting method based on the lightweight YOLOv5s and improved DeepSORT
Accurate yield estimation of passion fruits is essential for planning acreage and harvest timing. However, due to the complexity of the natural...
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An ultra-lightweight efficient network for image-based plant disease and pest infection detection
Plant diseases and pest infections are major factors that undermine the growth of plants along with their life cycle. Optical image-based plant...
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A lightweight hierarchical convolution network for brain tumor segmentation
BackgroundBrain tumor segmentation plays a significant role in clinical treatment and surgical planning. Recently, several deep convolutional...
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MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection
Monitoring the morphological traits of farmed fish is pivotal in understanding growth, estimating yield, artificial breeding, and population-based...
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Develo** a lightweight corrugated sandwich panel based on tea oil camellia shell: correlation of experimental and numerical performance
This study presents an experimental and numerical comparison between the mechanical performance of a lightweight corrugated sandwich panel based on...
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A lightweight detection method for the spatial distribution of underwater fish school quantification in intensive aquaculture
Spatial distribution of fish school is a critical indicator that exhibits behaviour changes such as stress, feeding, and other special behaviours in...
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A lightweight classification of adaptor proteins using transformer networks
BackgroundAdaptor proteins play a key role in intercellular signal transduction, and dysfunctional adaptor proteins result in diseases. Understanding...
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Map** tropical forest trees across large areas with lightweight cost-effective terrestrial laser scanning
Key messageWe used lightweight terrestrial laser scanning (TLS) to detect over 3000 stems per hectare across a 12-ha permanent forest plot in French...
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SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites
Single-strand breaks are the major DNA damage in the genome and serve a crucial role in various biological processes. To reveal the significance of...
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An optical design enabling lightweight and large field-of-view head-mounted microscopes
Here we present a fluorescence microscope light path that enables imaging, during free behavior, of thousands of neurons in mice and hundreds of...
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S2AM: a sustainable smart agriculture model for crop protection based on deep learning
Agriculture is the golden thread that fastens all the sustainable development goals globally. However, the massive population explosion and ecosystem...
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L-CSMS: novel lightweight network for plant disease severity recognition
The automatic identification and diagnosis of plant disease severity are still challenging in the agricultural information system. In this study, a...
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Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation
BackgroundThe prediction of protein secondary structures is a crucial and significant step for ab initio tertiary structure prediction which delivers...
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FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices
BackgroundForests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential...
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Improved YOLOv5s for typical carp target detection
To achieve efficient and real-time classification and recognition of freshwater fish on limited equipment resources, this study proposes a method...
