Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jiongming Qin"'
Publikováno v:
IEEE Access, Vol 8, Pp 20991-21002 (2020)
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. Since there are no obvious symptoms during the early stages of CKD, patients often fail to notice the disease. Early detect
Externí odkaz:
https://doaj.org/article/d3da2e1bac0e40a4b4bed667f982a7c0
Publikováno v:
Waste Management. 140:193-203
Using deep learning to solve garbage classification has become a hot topic in computer version. The most widely used garbage dataset Trashnet only has garbage images with a white board as background. Previous studies based on Trashnet focus on using
Publikováno v:
Signal, Image and Video Processing. 16:1417-1424
Publikováno v:
Waste Management. 135:20-29
A proof-of-concept municipal waste management system was proposed to reduce the cost of waste classification, monitoring and collection. In this system, we utilize the deep learning-based classifier and cloud computing technique to realize high accur
Publikováno v:
IEEE Access, Vol 8, Pp 20991-21002 (2020)
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. Since there are no obvious symptoms during the early stages of CKD, patients often fail to notice the disease. Early detect
Autor:
Kenshi Hayashi, Bin Chen, Liang Shang, Lingpu Ge, Chun Ju Jing, Changhao Feng, Hao Guo, Jiongming Qin, Chuanjun Liu
Publikováno v:
Journal of Materials Chemistry C. 8:262-269
Detection of plant volatile organic compounds (VOCs) provides a new approach for real-time, on-field crop growth monitoring in agriculture. Gold (Au) nano-urchins with branched tips were synthesized and deposited on glass slides with controlled densi
Publikováno v:
Knowledge-Based Systems. 231:107385
Active learning (AL) can significantly reduce the cost of labeling instances. Extreme learning machine (ELM) has low computational cost, extremely fast training speed and strong generalization ability. Previous studies have shown that the combination