Výsledky vyhledávání

Akademický článek

Improved Tribological Performance of a Polybutylene Terephthalate Hybrid Composite by Adding a Siloxane-Based Internal Lubricant

Autor: Shengqin Zhao, Rolf Merz, Stefan Emrich, Johannes L’huillier, Leyu Lin

Publikováno v: Lubricants, Vol 12, Iss 6, p 189 (2024)

To mitigate the environmental hazards aroused by fossil-based lubricants, the development of eco-friendly internal lubricants is imperative. Siloxane-based internal lubricants, widely applied as plasticizers in polymeric compounds, are a promising op

Externí odkaz: https://doaj.org/article/5be0179a8043454493466ac78968015d

Zobrazit plný text záznamu

Akademický článek

UPRec: User-aware Pre-training for sequential Recommendation

Autor: Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin

Publikováno v: AI Open, Vol 4, Iss , Pp 137-144 (2023)

Recent years witness the success of pre-trained models to alleviate the data sparsity problem in recommender systems. However, existing pre-trained models for recommendation mainly focus on leveraging universal sequence patterns from user behavior se

Externí odkaz: https://doaj.org/article/2ad90e55745a4bbc9242e9652e0b0df2

Zobrazit plný text záznamu

Akademický článek

A Federated Attention-Based Multimodal Biometric Recognition Approach in IoT

Autor: Leyu Lin, Yue Zhao, Jintao Meng, Qi Zhao

Publikováno v: Sensors, Vol 23, Iss 13, p 6006 (2023)

The rise of artificial intelligence applications has led to a surge in Internet of Things (IoT) research. Biometric recognition methods are extensively used in IoT access control due to their convenience. To address the limitations of unimodal biomet

Externí odkaz: https://doaj.org/article/bfaff49b7b1844dcba71c934bfb0cd45

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Architecture of covalent bonds between filament layers to enhance performance of 3D printing biodegradable polymer blends

Autor: Yang Lyu, Yanlu Chen, Leyu Lin, Alois K. Schlarb, Yue Li, Xinyan Shi

Publikováno v: Polymer Testing, Vol 106, Iss , Pp 107456- (2022)

Generally, the filament layer adhesion in articles 3D printed by Fused Deposition Modeling (FDM, one of 3D printing method) is completely provided by the diffusion and entanglement of molecular chains between adjacent layers. However, the poor layer

Externí odkaz: https://doaj.org/article/1fd5552db4ca4f5d9528041014364a4e

Zobrazit plný text záznamu

Akademický článek

SQRT: A Secure Querying Scheme of Routing Table Based on Oblivious Transfer

Autor: Yue Zhao, Bo Tian, Ning Hu, Qi Zhao, Yiru Niu, Leyu Lin, Yarang Yang

Publikováno v: Symmetry, Vol 14, Iss 6, p 1245 (2022)

The user equipment and directory server stay in the state of asymmetric information in anonymous networks, so that it is hard to coordinate information leakage prevention and information sharing when we explore the routing addressing technology. The

Externí odkaz: https://doaj.org/article/85c079d7f83a42f88d894184535ce2f2

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

Autor: Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Publikováno v: Frontiers in Big Data, Vol 4 (2021)

Recommender systems aim to provide item recommendations for users and are usually faced with data sparsity problems (e.g., cold start) in real-world scenarios. Recently pre-trained models have shown their effectiveness in knowledge transfer between d

Externí odkaz: https://doaj.org/article/0378a65140b9497ea803542d99451a3f

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání