no code implementations • 5 Oct 2023 • Shunkai Shi, Yuqi Wang, Qihui Ye, Yanran Wang, Yiming Zhu, Muhammad Hassan, Aikaterini Melliou, Dongmei Yu
After a number of extensive experiments, the experimental results show that the proposed model achieves 99. 06% accuracy in the two-class classification task of tooth-marked tongue identification and 80. 02%.
no code implementations • 8 Feb 2023 • Muhammad Hassan, Hao Zhang, Ahmed Fateh Ameen, Home Wu Zeng, Shuye Ma, Wen Liang, Dingqi Shang, Jiaming Ding, Ziheng Zhan, Tsz Kwan Lam, Ming Xu, Qiming Huang, Dongmei Wu, Can Yang Zhang, Zhou You, Awiwu Ain, Pei Wu Qin
Our proposed DL models, named FAG-Net and FGC-Net, correspondingly estimate biological traits (age and gender) and generates fundus images.
no code implementations • 31 Jul 2022 • Muhammad Hassan, Haifei Guan, Aikaterini Melliou, Yuqi Wang, Qianhui Sun, Sen Zeng, Wen Liang, Yiwei Zhang, Ziheng Zhang, Qiuyue Hu, Yang Liu, Shunkai Shi, Lin An, Shuyue Ma, Ijaz Gul, Muhammad Akmal Rahee, Zhou You, Canyang Zhang, Vijay Kumar Pandey, Yuxing Han, Yongbing Zhang, Ming Xu, Qiming Huang, Jiefu Tan, Qi Xing, Peiwu Qin, Dongmei Yu
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
1 code implementation • 7 Nov 2020 • Muhammad Hassan, Yan Wang, Di Wang, Daixi Li, Yanchun Liang, You Zhou, Dong Xu
We collected 100, 000 shoeprints of subjects ranging from 7 to 80 years old and used the data to develop a deep learning end-to-end model ShoeNet to analyze age-related patterns and predict age.
no code implementations • 25 Oct 2020 • Farah Shahid, Aneela Zameer, Mudasser Afzal, Muhammad Hassan
Smooth power generation from solar stations demand accurate, reliable and efficient forecast of solar energy for optimal integration to cater market demand; however, the implicit instability of solar energy production may cause serious problems for the smooth power generation.