Zobrazeno 1 - 10
of 2 234
pro vyhledávání: '"Lei Chen"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:4797-4811
Event popularity prediction over social media is crucial for estimating information propagation scope, decision making, and emergency prevention. However, existing approaches only focus on predicting the occurrences of single attribute such as a mess
Publikováno v:
Information Processing in Agriculture. 9:48-59
Agricultural disease image recognition has an important role to play in the field of intelligent agriculture. Some advanced machine learning methods associated with the development of artificial intelligence technology in recent years, such as deep l
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:3686-3700
Measuring similarity among data objects is important in data analysis and mining. SimRank is a popular link-based similarity measurement among nodes in a graph. To compute the all-pairs SimRank matrix accurately, iterative methods are usually used. F
Autor:
Lei Chen, Lian Sun, Yongpeng Lei, Zhiyan Chen, Qian Li, Tong Ye, Yuchao Wang, Limiao Chen, Qiu-Mei Wu, Xin Zhao, Jian Zeng, Liang Xu, Qichen Wang
Publikováno v:
Chinese Chemical Letters. 32:3355-3358
Designing non-noble metal electrocatalysts toward alkaline hydrogen evolution reaction (HER) with high performance at a large current density is urgent. Herein, a CoO/CoP heterostructure catalyst (termed POZ) was designed by a phosphating strategy. T
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:3520-3536
The group nearest neighbor (GNN) search on a road network $G_r$ G r , i.e., finding the spatial objects as activity assembly points with the smallest sum of distances to query users on $G_r$ G r , has been extensively studied; however, previous works
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 3639-3646 (2021)
Natural gas hydrate (NGH), as a clean energy with great development potential, has been limited by the lack of efficient and safe exploitation methods for a long time. The CO2 displacement method proposed in recent years has not made substantial prog
Publikováno v:
Information Fusion. 75:116-130
As a recently arisen framework, Label Distribution Learning (LDL) is one of the most appropriate machine learning paradigms to solve the label ambiguity problems. Due to the high cost, it is intractable to directly collect annotated distribution-leve
Publikováno v:
Particuology. 58:99-107
Porous particle flow is universal in nature and industry. However, in previous numerical simulations, porous particles have usually been assumed to be solid. It is necessary to study the flow and heat-transfer characteristics around porous particles
Autor:
Lei Chen, Jiang Chang, Zhiguang Huan, Chen Qin, Nan Ma, Hongshi Ma, Hui Zhuang, Jingge Ma, Meng Zhang, Chengtie Wu
Publikováno v:
Materials Today. 49:68-84
Regeneration of osteochondral tissue is of great potentialities in repairing severe osteochondral defects. However, anisotropic physiological characteristics and tissue linage difference make the regeneration of osteochondral tissue remain a huge cha
Publikováno v:
Journal of Materials Science & Technology. 89:107-113
The fatigue damage behavior of the nanocrystalline Au films on polyimide substrates was investigated. It was found that the very high-cycle fatigue damage resistance of the Au film was significantly enhanced by at least a factor of ∼2 in supported