ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia. [PDF]
Kalunga P, Kunda D, Zimba A.
europepmc +1 more source
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana +9 more
wiley +1 more source
Experimental dataset of video and radar detection for cooperative perception in urban environment. [PDF]
Figueiredo A +8 more
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Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata +4 more
wiley +1 more source
Optimizing Dam Detection in Large Areas: A Hybrid RF-YOLOv11 Framework with Candidate Area Delineation. [PDF]
Qu C, Liu Y, Wu Z, Wang W.
europepmc +1 more source
Extracting <i>Ligusticum chuanxiong</i> Hort. cultivation plots based on feature variable combinations constructed from UAV-based RGB images. [PDF]
Zhong S +5 more
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A Survey of Data Augmentation Techniques for Traffic Visual Elements. [PDF]
Yang M +4 more
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Enhanced YOLO-based framework and benchmarking for automated Plasmodium vivax detection. [PDF]
Prathap VM, Yadav S.
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Deep learning approach for crop-weed segmentation in peanut cultivation using PSPEdgeWeedNet. [PDF]
Pai DG, Balachandra M, Kamath R.
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Domain-Adaptive Segment Anything Model for Cross-Domain Water Body Segmentation in Satellite Imagery. [PDF]
Yang L, Liu P, Zhang G, Zhao H, Zhao C.
europepmc +1 more source

