Zobrazeno 1 - 10
of 747
pro vyhledávání: '"CONV"'
Autor:
Xiaoke Lan, Wenbing Jin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Accurate segmentation of COVID-19 lesions from medical images is essential for achieving precise diagnosis and developing effective treatment strategies. Unfortunately, this task presents significant challenges, owing to the complex and dive
Externí odkaz:
https://doaj.org/article/7d8970f1a91b4867b0c40e7fe07f10d7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 191-205 (2025)
Reconstruction of normalized difference vegetation index (NDVI) time series plays an imperative part in the inference of vegetation dynamics. However, it is challenging for the existing methods to achieve a good balance between accuracy and efficienc
Externí odkaz:
https://doaj.org/article/5947b8477f734a40912993055894e061
Autor:
Muxiang Zhang
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 3, Pp 677-689 (2024)
Fire detection is highly important for people's lives and property, and enhancing its accuracy is essential. This study focused on utilizing and improving YOLOv8 to obtain higher detection accuracy for fire detection. Three methods were used. First,
Externí odkaz:
https://doaj.org/article/812315e8d3bf46ef806d3229f4543e1f
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 9, Pp 102203- (2024)
Accurate segmentation of lung nodules is crucial for the early detection of lung cancer and other pulmonary diseases. Traditional segmentation methods face several challenges, such as the overlap between nodules and surrounding anatomical structures
Externí odkaz:
https://doaj.org/article/1febac9829e54903af49cba7fc370762
Publikováno v:
IEEE Access, Vol 12, Pp 168197-168212 (2024)
Aiming at the existing object detection models has difficulty effectively capturing relevant features when detecting small targets such as wire breakage faults in transmission lines, resulting in low detection accuracy. An improved algorithm, named D
Externí odkaz:
https://doaj.org/article/bdf0f12f90b2407ba8db614b846faee9
Autor:
Chang Wang, Yang Wu, Chen Wang, Yaning Ren, Jiefen Shen, Ting Pang, Chee Seng Chan, Wenjie Ren, Yi Yu
Publikováno v:
IEEE Access, Vol 12, Pp 8325-8336 (2024)
Motor imagery electroencephalogram (MI-EEG) classification is essential in brain-computer interface (BCI), and many classification methods have been proposed recently. However, the MI-EEG classification accuracy of the public dataset still has room f
Externí odkaz:
https://doaj.org/article/fd87d655bea84eb2920ccbc5ee868fed
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103961- (2024)
Identifying damaged areas after earthquakes is essential for emergency rescue and rebuilding efforts. Remote sensing image change detection can facilitate these tasks by analyzing features differences between bitemporal/multi-temporal optical images.
Externí odkaz:
https://doaj.org/article/ff5c22877c6f47fd8189ef85fabf68b2
Publikováno v:
IEEE Access, Vol 12, Pp 153089-153104 (2024)
In Advanced Metering Infrastructure (AMI) networks, Smart Meters (SMs), are installed at consumers’ houses, provide electric utilities with fine-grained power consumption data necessary for accurate billing, load monitoring, and energy management.
Externí odkaz:
https://doaj.org/article/5d4183bb057640d4b28a7847c06e64dd
Publikováno v:
IEEE Access, Vol 12, Pp 152138-152151 (2024)
Autonomous driving is a prominent research area, with the primary challenge being the precise perception and interpretation of the surrounding environment. To address issues such as low resolution, dense occlusion, and small targets in complex road s
Externí odkaz:
https://doaj.org/article/958b20d7074b4aef9eb7808ad4b7a5b5
Autor:
Yingyun Wang, Vladimir Y. Mariano
Publikováno v:
IEEE Access, Vol 12, Pp 120711-120719 (2024)
In recent years, the YOLOv8 series algorithms have become a research hotspot in many fields, and they can perform excellently in different computer vision tasks. However, YOLOv8 still has room for improvement in multi-target tracking. We integrated i
Externí odkaz:
https://doaj.org/article/0720f7d1a7db4c208d52eb052c01e666