Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Liangxiu, Han"'
Autor:
Tianqi Wang, Huitong Zhu, Yunlan Zhou, Weihong Ding, Weichao Ding, Liangxiu Han, Xueqin Zhang
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Spatial transcriptomics is an emerging technology that enables the profiling of gene expression in tissues while preserving spatial location information. This innovative approach is anticipated to provide a comprehensive understanding of the
Externí odkaz:
https://doaj.org/article/c4fb59b2453a4efe93e91cb98cae146c
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/bff45f0f0f964a38b30c5808514d22ef
Autor:
Tulasi Kavarakuntla, Liangxiu Han, Huw Lloyd, Annabel Latham, Anthony Kleerekoper, Samson B. Akintoye
Publikováno v:
IEEE Access, Vol 12, Pp 8207-8219 (2024)
Performance modelling of a deep learning application is essential to improve and quantify the efficiency of the model framework. However, existing performance models are mostly case-specific, with limited capability for the new deep learning framewor
Externí odkaz:
https://doaj.org/article/736730c5164b4763ae7e2005c818269c
Publikováno v:
IEEE Access, Vol 11, Pp 108603-108616 (2023)
Structural magnetic resonance imaging (sMRI) can identify subtle brain changes due to its high contrast for soft tissues and high spatial resolution. It has been widely used in diagnosing neurological brain diseases, such as Alzheimer’s disease (AD
Externí odkaz:
https://doaj.org/article/6f88855fce1d4006b2b13572811517ef
Autor:
Yue Shi, Liangxiu Han, Pablo González-Moreno, Darren Dancey, Wenjiang Huang, Zhiqiang Zhang, Yuanyuan Liu, Mengning Huang, Hong Miao, Min Dai
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionAccurate and timely detection of plant stress is essential for yield protection, allowing better-targeted intervention strategies. Recent advances in remote sensing and deep learning have shown great potential for rapid non-invasive detec
Externí odkaz:
https://doaj.org/article/df3dc426c6c34604824d013652f4576a
Autor:
Min Dai, Wenjing Sun, Lixing Wang, Md Mehedi Hassan Dorjoy, Shanwen Zhang, Hong Miao, Liangxiu Han, Xin Zhang, Mingyou Wang
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Pepper leaf disease identification based on convolutional neural networks (CNNs) is one of the interesting research areas. However, most existing CNN-based pepper leaf disease detection models are suboptimal in terms of accuracy and computing perform
Externí odkaz:
https://doaj.org/article/456e09847502419781bb147fa902eadf
Autor:
Xin Zhang, Liangxiu Han
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5238 (2023)
Remote sensing data has been widely used for various Earth Observation (EO) missions such as land use and cover classification, weather forecasting, agricultural management, and environmental monitoring. Most existing remote-sensing-data-based models
Externí odkaz:
https://doaj.org/article/45e1f5c472d546efa64cb0e7b9302641
Publikováno v:
IEEE Access, Vol 10, Pp 77950-77961 (2022)
Recently, Deep Neural Networks (DNNs) have recorded significant success in handling medical and other complex classification tasks. However, as the sizes of DNN models and the available datasets increase, the training process becomes more complex and
Externí odkaz:
https://doaj.org/article/e4901d0718994da385507be8df914995
Publikováno v:
IEEE Access, Vol 9, Pp 39009-39018 (2021)
Ground penetrating radar (GPR) is a well-known useful tool for subsurface exploration. GPR data can be recorded at a relatively high speed in a continuous way with hyperbolas being artifacts and evidence of disturbances in the soil. Automatic and acc
Externí odkaz:
https://doaj.org/article/cf7e0d594f764294a009c125f6d62088
Autor:
Liangxiu Han, Daoqiang Zhang, Omer Rana, Yi Pan, Sohail Jabbar, Mazin Yousif, Moayad Aloqaily
Publikováno v:
IEEE Access, Vol 8, Pp 216617-216622 (2020)
Deep learning (DL) has emerged as a key application exploiting the increasing computational power in systems such as GPUs, multicore processors, Systems-on-Chip (SoC), and distributed clusters. It has also attracted much attention in discovering corr
Externí odkaz:
https://doaj.org/article/4b376e810b834010bc50272c35bafa4d