Results 91 to 100 of about 21,150,821 (215)
YOLO-BFRV: An Efficient Model for Detecting Printed Circuit Board Defects
The small area of a printed circuit board (PCB) results in densely distributed defects, leading to a lower detection accuracy, which subsequently impacts the safety and stability of the circuit board.
Jiaxin Liu +4 more
doaj +1 more source
Lightweight Improved YOLOv5s-CGhostnet for Detection of Strawberry Maturity Levels and Counting
A lightweight strawberry detection and localization algorithm plays a crucial role in enabling the harvesting robot to effectively harvest strawberries.
Niraj Tamrakar +7 more
doaj +1 more source
APEIOU Integration for Enhanced YOLOV7: Achieving Efficient Plant Disease Detection
Plant diseases can severely hamper plant growth and yield. Currently, these diseases often manifest diverse symptoms, characterized by small targets and high quantities. However, existing algorithms inadequately address these challenges.
Yun Zhao, Chengqiang Lin, Na Wu, Xing Xu
doaj +1 more source
Functional visual loss (FVL) is a condition characterized by apparent blindness or visual impairment without any organic or structural abnormalities in the eye. This condition poses diagnostic challenges in both adults and children due to its varied presentations and potential overlap with genuine visual disorders.
Niv Levy, Daniel Rappoport
openaire +1 more source
Classification of Bone Marrow Cells Based on Dual-Channel Convolutional Block Attention Network
Morphological differentiation between myeloblasts and monoblasts is pivotal for the majority of acute myeloid leukemia (AML) diagnosis in clinical settings.
Zhaorong Wang +4 more
doaj +1 more source
Among the existing insulator defect detection methods, the automatic detection of inspection robots based on the instance segmentation algorithm is relatively more efficient, but the problem of the limited accuracy of the segmentation algorithm is still ...
Junpeng Wu +4 more
doaj +1 more source
Tailings ponds are critical facilities in the mining industry, and accurate monitoring and management of these ponds are of paramount importance. However, conventional object detection methodologies, including recent advancements, often face significant ...
Weiming Zhang +7 more
doaj +1 more source
Analysis of Plasmon Loss Peaks of Oxides and Semiconductors with the Energy Loss Function. [PDF]
Costantini JM, Ribis J.
europepmc +1 more source
Protein quality assessment with a loss function designed for high-quality decoys. [PDF]
Roy S, Ben-Hur A.
europepmc +1 more source
Self-adaption and texture generation: A hybrid loss function for low-dose CT denoising. [PDF]
Wang Z +7 more
europepmc +1 more source

