Search alternatives:
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
elements method » element method (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
elements method » element method (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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241
Ablation experiment results table.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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242
YOLOv8 identification results.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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243
LSKA module structure diagram.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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244
Comparison of mAP curves in ablation experiments.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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245
FarsterBlock structure.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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246
Sample augmentation and annotation illustration.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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247
YOLOv8 model architecture diagram.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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248
FLMP-YOLOv8 architecture diagram.
Published 2025“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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249
Image 5_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg
Published 2025“…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…”
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250
Image 3_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg
Published 2025“…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…”
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251
Image 2_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg
Published 2025“…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…”
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252
Image 4_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg
Published 2025“…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…”
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253
Table 1_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.docx
Published 2025“…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…”
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254
Image 6_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg
Published 2025“…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…”
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255
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256
Code and data for evaluating oil spill amount from text-form incident information
Published 2025“…<h2>Dataset and Code Description</h2><p dir="ltr">This repository includes the code and data for evaluating oil spill amounts from incident textual information. …”
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257
Various metrics of the training model.
Published 2025“…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…”
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258
The window installation progress description.
Published 2025“…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…”
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259
Research Flowchart.
Published 2025“…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…”
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260
Results.cxv.
Published 2025“…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…”