Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Zheng Jiangbin"'
Autor:
Sheharyar Khan, Zheng Jiangbin, Farhan Ullah, Muhammad Pervez Akhter, Sohrab Khan, Fuad A. Awwad, Emad A.A. Ismail
Publikováno v:
PeerJ Computer Science, Vol 10, p e2211 (2024)
In the distributed computing era, cloud computing has completely changed organizational operations by facilitating simple access to resources. However, the rapid development of the IoT has led to collaborative computing, which raises scalability and
Externí odkaz:
https://doaj.org/article/67e0158d2de9414f81f57f09094aa610
Publikováno v:
Hangkong gongcheng jinzhan, Vol 14, Iss 1, Pp 13-26 (2023)
Recently, UAV aerial photography technology has been gradually applied to wildlife protection, which has greatly improved the investigation efficiency.Due to the great difference in characteristics between aerial images and ground images, and the com
Externí odkaz:
https://doaj.org/article/15ca75c6678f412fb1e54c191bc62e4a
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9393-9408 (2022)
Virtual globes render large-scale real-world earth’s surface in real-time for geographic information visualization. Modern GPUs have introduced hardware tessellation features for high-performance rendering. Patch-based terrain rendering using hardw
Externí odkaz:
https://doaj.org/article/cfba6233bef54d42afc7c4f968145723
Enzyme design plays a crucial role in both industrial production and biology. However, this field faces challenges due to the lack of comprehensive benchmarks and the complexity of enzyme design tasks, leading to a dearth of systematic research. Cons
Externí odkaz:
http://arxiv.org/abs/2408.10247
Autor:
Song, Zijia, Zang, Zelin, Wang, Yelin, Yang, Guozheng, Zheng, Jiangbin, yu, Kaicheng, Chen, Wanyu, Li, Stan Z.
Multimodal fusion breaks through the barriers between diverse modalities and has already yielded numerous impressive performances. However, in various specialized fields, it is struggling to obtain sufficient alignment data for the training process,
Externí odkaz:
http://arxiv.org/abs/2406.05766
Autor:
Li, Siyuan, Wang, Zedong, Liu, Zicheng, Wu, Di, Tan, Cheng, Zheng, Jiangbin, Huang, Yufei, Li, Stan Z.
Similar to natural language models, pre-trained genome language models are proposed to capture the underlying intricacies within genomes with unsupervised sequence modeling. They have become essential tools for researchers and practitioners in biolog
Externí odkaz:
http://arxiv.org/abs/2405.10812
Document-Level Text Classification Using Single-Layer Multisize Filters Convolutional Neural Network
Autor:
Muhammad Pervez Akhter, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, Atif Mehmood, Muhammad Tariq Sadiq
Publikováno v:
IEEE Access, Vol 8, Pp 42689-42707 (2020)
The rapid growth of electronic documents are causing problems like unstructured data that need more time and effort to search a relevant document. Text Document Classification (TDC) has a great significance in information processing and retrieval whe
Externí odkaz:
https://doaj.org/article/d2a63534056f41738e45060a290ed419
Autor:
Muhammad Pervez Akhter, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, Muhammad Tariq Sadiq
Publikováno v:
IEEE Access, Vol 8, Pp 91213-91226 (2020)
In recent years, unethical behavior in the cyber-environment has been revealed. The presence of offensive language on social media platforms and automatic detection of such language is becoming a major challenge in modern society. The complexity of n
Externí odkaz:
https://doaj.org/article/099029b801e5421e8ffa3c86df39016b
Autor:
Jin, Qiangguo, Cui, Hui, Sun, Changming, Song, Yang, Zheng, Jiangbin, Cao, Leilei, Wei, Leyi, Su, Ran
Publikováno v:
Expert Systems with Applications, 2024, 238: 122093
Acquiring pixel-level annotations is often limited in applications such as histology studies that require domain expertise. Various semi-supervised learning approaches have been developed to work with limited ground truth annotations, such as the pop
Externí odkaz:
http://arxiv.org/abs/2403.12767
Autor:
Hu, Bozhen, Tan, Cheng, Wu, Lirong, Zheng, Jiangbin, Xia, Jun, Gao, Zhangyang, Liu, Zicheng, Wu, Fandi, Zhang, Guijun, Li, Stan Z.
Protein representation learning plays a crucial role in understanding the structure and function of proteins, which are essential biomolecules involved in various biological processes. In recent years, deep learning has emerged as a powerful tool for
Externí odkaz:
http://arxiv.org/abs/2403.05314