Experimental environment configuration. by Xiaozhou Feng (2918222)

“…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. …”

Ablation experiment results table. by Xiaozhou Feng (2918222)

“…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. …”

YOLOv8 identification results. by Xiaozhou Feng (2918222)

“…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. …”

LSKA module structure diagram. by Xiaozhou Feng (2918222)

“…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. …”

Comparison of mAP curves in ablation experiments. by Xiaozhou Feng (2918222)

“…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. …”

FarsterBlock structure. by Xiaozhou Feng (2918222)

“…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. …”

Sample augmentation and annotation illustration. by Xiaozhou Feng (2918222)

“…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. …”

YOLOv8 model architecture diagram. by Xiaozhou Feng (2918222)

“…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. …”

FLMP-YOLOv8 architecture diagram. by Xiaozhou Feng (2918222)

“…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. …”

Result by using GA without the greedy algorithm, including specific week, number of vessel boats purchased, number of operators purchased, number of operators maintained, number of... by Zixi Wang (459102)

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Result by using GA with a greedy algorithm, including specific week, number of vessel boats purchased, number of operators purchased, number of operators maintained, number of vess... by Zixi Wang (459102)

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G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

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List of aSNPs predicted to disrupt G4 formation propensity. by Rongxin Zhang (1618159)

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Overview of archaic SNPs (aSNPs) potentially affecting G4 formation, identified by G4SNVHunter. by Rongxin Zhang (1618159)

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Schematic diagram of the G4Hunter scanning principle. by Rongxin Zhang (1618159)

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An example of an aSNP affecting G4 formation. by Rongxin Zhang (1618159)

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VEP annotation of the aSNPs listed in S1 Table. by Rongxin Zhang (1618159)

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2D density plot of maximum G4Hunter scores for G4s whose formation propensity is computationally impaired by aSNPs. by Rongxin Zhang (1618159)

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A hypothetical example illustrating the differences between the two assessment modes in G4SNVHunter. by Rongxin Zhang (1618159)

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LitiumLIC BscScan Verified Source (2025-11-13) by Investlitiumlic Oy (22614180)