SGD-YOLOv5: A Small Object Detection Model for Complex Industrial Environments
SGD-YOLOv5: A Small Object Detection Model for Complex Industrial ...
J Pei (13464954) +5 more
core
FDA_YOLOv8: refined small object detection in unmanned aerial vehicle imagery. [PDF]
Chen W, Deng Q, Xiang Z, Cao Q, Peng J.
europepmc +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
A robust small-object detection model for UAV aerial imagery under complex background clutter. [PDF]
He Y, Xiao R, Tang Y, Pang Y.
europepmc +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
A multi-scale small object detection framework for tomato leaf pest and disease detection in complex natural environments. [PDF]
Gao R +7 more
europepmc +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
MambaIR-YOLO: A Feature-Guided Lightweight State-Space Framework for Aerial Small-Object Detection. [PDF]
Rao H, Tian L, Li N, Luo X.
europepmc +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
ADA-YOLO: An Adaptive Dynamic Aggregation Network for Small Object Detection in UAV Imagery. [PDF]
Chen J +4 more
europepmc +1 more source

