Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Zhanli Li"'
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4005-4022 (2024)
Abstract Coal Mining enterprises deploy numerous monitoring devices to ensure safe and efficient production using target detection technologies. However, deploying deep detection models on edge devices poses challenges due to high computational loads
Externí odkaz:
https://doaj.org/article/9b62bac003f64bb0bc512ce7eeb8a1cd
Autor:
Muhammad Wahab Hanif, Zhenhua Yu, Rehmat Bashir, Zhanli Li, Sardar Annes Farooq, Muhammad Usman Sana
Publikováno v:
IET Image Processing, Vol 18, Iss 12, Pp 3277-3287 (2024)
Abstract Considering the challenges of low multi‐object detection accuracy and difficulty in identifying small targets caused by challenging environmental conditions including irregular lighting patterns and ambient noise levels in the mining envir
Externí odkaz:
https://doaj.org/article/94b4ff327d014ef38eee3ccddb1c459a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 5007-5031 (2024)
In demanding application scenarios such as clinical psychotherapy and criminal interrogation, the accurate recognition of micro-expressions is of utmost importance but poses significant challenges. One of the main difficulties lies in effectively cap
Externí odkaz:
https://doaj.org/article/bb37ac35d7de4c80af658865a4809bca
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 3594-3617 (2024)
A Multiscale-Motion Embedding Pseudo-3D (MME-P3D) gesture recognition algorithm has been proposed to tackle the issues of excessive parameters and high computational complexity encountered by existing gesture recognition algorithms deployed in mobile
Externí odkaz:
https://doaj.org/article/b318c29bc63b447b8ce98de9f2b71cea
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 17356-17383 (2023)
To address the limitation of narrow field-of-view in local oral cavity images that fail to capture large-area targets at once, this paper designs a method for generating natural dental panoramas based on oral endoscopic imaging that consists of two m
Externí odkaz:
https://doaj.org/article/027d9ee2dc904c54a9bce22f63bb5e45
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2476 (2024)
The traditional Siamese object tracking algorithm uses a convolutional neural network as the backbone and has achieved good results in improving tracking precision. However, due to the lack of global information and the use of spatial and scale infor
Externí odkaz:
https://doaj.org/article/646959f2539e4c1e927ca36529bba64d
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 2039-2060 (2023)
With the development of deep learning, medical image segmentation has become a promising technique for computer-aided medical diagnosis. However, the supervised training of the algorithm relies on a large amount of labeled data, and the private datas
Externí odkaz:
https://doaj.org/article/55222fc7ced94ef799da3b84ba32efb8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 86-101 (2022)
In recent years, with the development of deep learning, image color rendering method has become a research hotspot once again. To overcome the detail problems of color overstepping and boundary blurring in the robust image color rendering method, as
Externí odkaz:
https://doaj.org/article/fc4442bed3e848019ecb7ceb92e5f419
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 4, Pp 290-303 (2021)
Ensemble learning combines base classifiers to improve the performance of the models and obtains a higher classification accuracy than a single classifier. We propose a multi-classification method to predict the level of grant for each college studen
Externí odkaz:
https://doaj.org/article/4056897242c24032bfae532dead367c2
Publikováno v:
IEEE Access, Vol 9, Pp 145785-145799 (2021)
With the fast advancement in cloud computing, progressively more users store their applications and data on the cloud. Cloud computing has lots of features, e.g. virtualization, multi-user, efficiency, cost savings, and most importantly security. Mac
Externí odkaz:
https://doaj.org/article/1539d3b6d4bd414eaa1b1631050a8354