Zobrazeno 1 - 10
of 343
pro vyhledávání: '"YOLO V5"'
Autor:
SHAN Chonghao
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 10, Pp 274-279 (2024)
Objective When using convolutional neural networks (CNNs) for the state detection of catenary system cotter pins, the imbalance between positive and negative samples leads to a low detection rate of missing pins in the network model. Thus, a single-s
Externí odkaz:
https://doaj.org/article/1e4b6be3a39145f5af24cbf54545d3c4
Publikováno v:
Авіаційно-космічна техніка та технологія, Vol 0, Iss 3, Pp 89-98 (2024)
Digital images are increasingly used to analyze different types of objects and their localization and classification. There are many areas for using this information; it is often employed for surveillance systems, automatic driving of vehicles, or ex
Externí odkaz:
https://doaj.org/article/d8d6c97ee1ea4759ace136ab6348d5ae
Publikováno v:
Авіаційно-космічна техніка та технологія, Vol 0, Iss 2, Pp 83-90 (2024)
The use of unmanned aerial vehicles is gaining wide popularity in various areas of research and information acquisition. More and more often, unmanned aerial vehicles are used to obtain various types of images of the Earth’s surface for its study.
Externí odkaz:
https://doaj.org/article/b98f4cc8f35447b1b4cd3c61b193796b
Autor:
Mohammed Alameri, Qurban A. Memon
Publikováno v:
IEEE Access, Vol 12, Pp 119733-119742 (2024)
Advances in object tracking integrate feature-based methods with modern deep learning. Initial object detection is crucial for continuous tracking. Still, challenges include establishing reliable data associations across frames amidst issues like mot
Externí odkaz:
https://doaj.org/article/a4ef7fe025dc47d28748dc6b77dfa13e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103671- (2024)
Currently, the spectra-based physical models and deep learning methods are frequently used to detect wildfires from remote sensing data. However, physical algorithms mainly rely on radiative transfer processes, which limit their effectiveness in dete
Externí odkaz:
https://doaj.org/article/eb3c9d23bd864b7d926dc0839671c409
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1090 (2024)
This study addresses the severe corrosion issues in the coastal regions of southern China by proposing an improved YOLO v5-GOLD-NWD model. Utilizing corrosion data from the National Center for Materials Corrosion and Protection Science of China, a da
Externí odkaz:
https://doaj.org/article/9fc145448f4b4b62b5e6ff9c15ec8a92
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1714 (2024)
Because of the vast ocean area and the large amount of high-resolution image data, ship detection and data processing have become more difficult. These difficulties can be solved using the artificial intelligence interpretation method. The efficient
Externí odkaz:
https://doaj.org/article/4bdd52ee3bff4f299c8d4eb6aa95561b
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e18826- (2023)
Defects of solar panels can easily cause electrical accidents. The YOLO v5 algorithm is improved to make up for the low detection efficiency of the traditional defect detection methods. Firstly, it is improved on the basis of coordinate attention to
Externí odkaz:
https://doaj.org/article/9bdc48dfd9f949e4bb9152e4f4393f63
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1192-1201 (2022)
The use of neural networks to detect marine targets has been an important research direction in the field of target detection. Traditional detection models are generally only for fish, coral, large plants and animals and other easy to detect targets,
Externí odkaz:
https://doaj.org/article/a5354dfa2f2444b49dee34ce0938c69c
Autor:
Yunus Egi, Engin Eyceyurt
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-17 (2022)
Abstract The traditional wireless communication systems deployment models require expensive and time-consuming procedures, including environment selection (rural, urban, and suburban), drive test data collection, and analysis of the raw data. These p
Externí odkaz:
https://doaj.org/article/3052ab71a64b41d3802fa99bcdef6e3f