Zobrazeno 1 - 10
of 2 091
pro vyhledávání: '"yolov4"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Underwater object detection is a crucial aspect of monitoring the aquaculture resources to preserve the marine ecosystem. In most cases, Low-light and scattered lighting conditions create challenges for computer vision-based underwater objec
Externí odkaz:
https://doaj.org/article/647358280332479e91a9bd0f93ccfab9
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract This study proposes an improved YOLOv4 algorithm based on mixed domain attention mechanism to design an intelligent substation inspection system. The proposed method combines improvement strategies such as lightweight, depthwise separable co
Externí odkaz:
https://doaj.org/article/a7a0aac471934d14ad2f947997f0ea36
Publikováno v:
Construction Innovation, 2022, Vol. 24, Issue 4, pp. 933-949.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CI-05-2022-0121
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-41 (2024)
Abstract With the rapid development of machine learning technology, it has become possible to automatically identify cultural heritage elements in traditional buildings. This research aimed to develop a machine learning model based on the YOLOv4 arch
Externí odkaz:
https://doaj.org/article/ecb42a4b466249c9b93b2268f0a9a788
Autor:
Dhevisha Sukumarran, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Romano Ngui, Wan Yusoff Wan Sulaiman, Indra Vythilingam, Paul Cliff Simon Divis
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-26 (2024)
Abstract Background Malaria is a serious public health concern worldwide. Early and accurate diagnosis is essential for controlling the disease’s spread and avoiding severe health complications. Manual examination of blood smear samples by skilled
Externí odkaz:
https://doaj.org/article/4c37794d6ca24c14b4260fd3503269e0
Autor:
Keerthi Jayan, B. Muruganantham
Publikováno v:
Automatika, Vol 65, Iss 2, Pp 627-640 (2024)
The challenge of evaluating deep learning-based object detection models in complex traffic scenarios, characterized by changing weather and lighting conditions, is addressed in this study. Real-world testing proves time and cost-intensive, leading to
Externí odkaz:
https://doaj.org/article/bcd1c1eb3ab94d72b8d3711e97d1e7c8
Publikováno v:
Atmospheric Environment: X, Vol 23, Iss , Pp 100291- (2024)
Scooters are a popular means of transportation in urban areas. However, studies examining their spatial and temporal features are lacking. This study examined traffic patterns in New Taipei City from September 2021 to June 2023 using real-time survei
Externí odkaz:
https://doaj.org/article/c22328301ea14f90a93679633c8c1e07
Autor:
Shuang Yee Chin, Jian Dong, Khairunnisa Hasikin, Romano Ngui, Khin Wee Lai, Pauline Shan Qing Yeoh, Xiang Wu
Publikováno v:
PeerJ Computer Science, Vol 10, p e2180 (2024)
Background Bacterial image analysis plays a vital role in various fields, providing valuable information and insights for studying bacterial structural biology, diagnosing and treating infectious diseases caused by pathogenic bacteria, discovering an
Externí odkaz:
https://doaj.org/article/7289bcc810864e40bd2ecd9772e5fa35
Autor:
Jean Nepo Ndikumana, Unseok Lee, Ji Hye Yoo, Samuel Yeboah, Soo Hyun Park, Taek Sung Lee, Young Rog Yeoung, Hyoung Seok Kim
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionIn strawberry farming, phenotypic traits (such as crown diameter, petiole length, plant height, flower, leaf, and fruit size) measurement is essential as it serves as a decision-making tool for plant monitoring and management. To date, st
Externí odkaz:
https://doaj.org/article/881d72b6a37f4f63b50cf2977f39bfb3
Autor:
Shekhar Thapa, Glen C. Rains, Wesley M. Porter, Guoyu Lu, Xianqiao Wang, Canicius Mwitta, Simerjeet S. Virk
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 803-822 (2024)
Several studies on robotic cotton harvesters have designed their end-effectors and harvesting algorithms based on the approach of harvesting a single cotton boll at a time. These robotic cotton harvesting systems often have slow harvesting times per
Externí odkaz:
https://doaj.org/article/bffb71786a7349d0afd8b641539b4ffe