Results 71 to 80 of about 54,995 (246)
تشخیص دقیق و بلادرنگ دندانههای باکت در شاولهای معدن مس بر اساس مدل بهبود یافته YOLO [PDF]
مجله مدل سازی در مهندسیشاول نوعی از مجموعه بیلهای مکانیکی است که در معادن روباز استفاده میشود. باکت شاول دارای تعدادی دندانه میباشد، که باعث افزایش بازدهی باکت میشود. تاثیر مستقیم طولانی مدت دندانههای باکت بر روی سنگ معدن در حین بارگیری باعث شکستگی غیرمنتظره دندانهها می ...
محدثه قیاسی +1 more
doaj +1 more source
, 2023 The code has been improved based on the YOLOv7-tiny framework code. The improved configuration file is located in the cfg file. The code for data processing and drawing is also included in the file.
openaire +1 more source
Advanced Intelligent Systems, EarlyView.Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Cytometry Part A, EarlyView.ABSTRACT We present a new end‐to‐end neural network approach for real‐time biological cell detection and classification via label‐free quantitative imaging flow cytometry based on digital holography, offering a comprehensive representation of cellular structures without the need for chemical cell staining. In contrast to previous studies, our method is
Dana Yagoda‐Aharoni +3 more
wiley +1 more source
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
, 2019 Although YOLOv2 approach is extremely fast on object detection; its backbone network has the low ability on feature extraction and fails to make full use of multi-scale local region features, which restricts the improvement of object detection accuracy ...
Huang, Zhanchao, Wang, Jianlin
core
Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs
Journal of Medical Radiation Sciences, EarlyView.This study evaluated DenseNet121 and YOLOv8 neural networks in detecting suboptimal chest x‐rays for quality control. Through training, validation, and testing, both AI models effectively classified chest X‐ray quality, highlighting the potential to provide radiographers with feedback to enhance image quality.
Emily Huanke Liu +2 more
wiley +1 more source
IEEE AccessThe global decrease in native pollinators poses a substantial challenge to agricultural production and food security, particularly in malnutrition prone countries.
Arpan Singh, Christy Jackson Joshua
doaj +1 more source
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose Accurate preoperative implant sizing is a critical component of successful total knee arthroplasty (TKA). Artificial intelligence (AI) has emerged as a promising tool for enhancing preoperative planning. This is achieved through predictive modelling based on different input modalities, including computed tomography (CT), plain ...
Randa Elsheikh +5 more
wiley +1 more source
Leaf Segmentation Using Modified YOLOv8-Seg Models
LifeComputer-vision-based plant leaf segmentation technology is of great significance for plant classification, monitoring of plant growth, precision agriculture, and other scientific research.
Peng Wang +6 more
doaj +1 more source
GraphReco: Probabilistic Structure Recognition for Chemical Molecules
ChemistryOpen, EarlyView.Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang +2 more
wiley +1 more source