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9 Results Found

  • Article
  • Open Access
47 Citations
5,927 Views
24 Pages

YOLOv7-MA: Improved YOLOv7-Based Wheat Head Detection and Counting

  • Xiaopeng Meng,
  • Changchun Li,
  • Jingbo Li,
  • Xinyan Li and ,
  • Fuchen Guo and
  • Zhen Xiao
  • + 1 author+ 0 author

29 July 2023

Detection and counting of wheat heads are crucial for wheat yield estimation. To address the issues of overlapping and small volumes of wheat heads on complex backgrounds, this paper proposes the YOLOv7-MA model. By introducing micro-scale detection...

(This article belongs to the Special Issue Remote Sensing and Associated Artificial Intelligence in Agricultural Applications)
  • Article
  • Open Access
3 Citations
2,379 Views
16 Pages

Recognition of Maize Tassels Based on Improved YOLOv8 and Unmanned Aerial Vehicles RGB Images

  • Jiahao Wei,
  • Ruirui Wang,
  • Shi Wei,
  • Xiaoyan Wang and
  • Shicheng Xu

19 November 2024

The tasseling stage of maize, as a critical period of maize cultivation, is essential for predicting maize yield and understanding the normal condition of maize growth. However, the branches overlap each other during the growth of maize seedlings and...

(This article belongs to the Special Issue Advances of UAV in Precision Agriculture)
  • Article
  • Open Access
6 Citations
658 Views
22 Pages

Object detection in UAV imagery is hindered by micro-scale targets, dense distributions, and cluttered backgrounds, where existing detectors fail to simultaneously achieve high accuracy and real-time throughput. We propose ECP-YOLO, a lightweight fra...

(This article belongs to the Section Computer Science & Engineering)
  • Review
  • Open Access
17 Citations
4,722 Views
23 Pages

31 July 2023

Head and neck cancers (HNCs) account for ~4% of all cancers in North America and encompass cancers affecting the oral cavity, pharynx, larynx, sinuses, nasal cavity, and salivary glands. The anatomical complexity of the head and neck region, characte...

(This article belongs to the Section Cancer Pathophysiology)
  • Article
  • Open Access
192 Views
27 Pages

2 November 2026

Printed circuit board (PCB) defect detection remains challenging because micro-scale defects often exhibit weak contrast and are easily suppressed by conventional downsampling and balanced multi-scale detection heads. To address these limitations, th...

(This article belongs to the Special Issue Symmetry and Asymmetry in Machine Learning: 2nd Edition)
  • Article
  • Open Access
30 Citations
6,209 Views
17 Pages

YOLO-Xray: A Bubble Defect Detection Algorithm for Chip X-ray Images Based on Improved YOLOv5

  • Jie Wang,
  • Bin Lin,
  • Gaomin Li,
  • Yuezheng Zhou and ,
  • Lijun Zhong,
  • Xuan Li and
  • Xiaohu Zhang
  • + 2 authors+ 0 author

In the manufacturing of chips, the accurate and effective detection of internal bubble defects of chips is essential to maintain product reliability. In general, the inspection is performed manually by viewing X-ray images, which is time-consuming an...

(This article belongs to the Topic AI and Data-Driven Advancements in Industry 4.0)
  • Article
  • Open Access
248 Views
18 Pages

13 October 2026

In semiconductor manufacturing, automated wafer defect detection is critical for ensuring chip yield and process stability. In seismically active regions, sub-millimeter conveyor micro-displacements during seismic events can produce complex geometric...

(This article belongs to the Special Issue Emerging Trends and Technologies in Manufacturing Engineering)
  • Article
  • Open Access
1 Citations
5,912 Views
20 Pages

An Inexpensive, 3D-Printable, Arduino- and Blu-Ray-Based Confocal Laser and Fluorescent Scanning Microscope

  • Justin Loose,
  • Samuel H. Hales,
  • Jonah Kendell,
  • Isaac Cutler and ,
  • Ryan Ruth,
  • Jacob Redd,
  • Samuel Lino and
  • Troy Munro
  • + 3 authors+ 0 author

There is a growing field that is devoted to developing inexpensive microscopes and measurement devices by leveraging low-cost commercial parts that can be controlled using smartphones or embedded devices, such as Arduino and Raspbery Pi. Examples inc...

(This article belongs to the Special Issue Advancements in Optical Measurement Devices and Technologies)
  • Article
  • Open Access
621 Views
20 Pages

Quantifying Brittle Crack Opening in Human Trabecular Bone Using Synchrotron XCT–DVC

  • Dhruv Vasooja,
  • Ahmet Cinar,
  • Mahmoud Mostafavi,
  • James Marrow and ,
  • Christina Reinhard,
  • Ulrich Hansen and
  • Richard Leslie Abel
  • + 2 authors+ 0 author

Background/Objectives: Trabecular bone exhibits brittle behaviour governed by microscale deformation and damage, yet quantifying crack progression is difficult because classical fracture-mechanics approaches do not apply to architecturally discontinu...

(This article belongs to the Section Tissue and Vascular Biomechanics)