Results 101 to 110 of about 814,610 (249)
PRIVED: a Privacy Model for Heterogeneous Mobile Networks [PDF]
, 2011 We propose a network-oriented privacy model (PRIVED) composed by a well defined information model, using events, information sets and relationships to define the conceptual privacy relationships that can occur in the network.
Sargento, Susana +2 more
core
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
“Smelltronics”—From Gas to Smell Sensing
Advanced Materials, EarlyView.The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Toward Privacy-Preserving Decentralised Systems [Elektronisk resurs]
, 2017 Privacy enhancing technologies have proven to be a beneficial area of research lessening the threats users' privacy in centralised systems such as online social networks.
Boye, Johan, +3 more
core
Advanced Materials, EarlyView.This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Privacy preserving in the age of big data
大数据, 2017 One of biggest concerns of big data is privacy,especially,in the processing of big data publishing or data mining.However,the study on big data privacy is still at a very early stage.The preliminary knowledge about the definition of roles and operations ...
Xianjin FANG, Yafei XIAO, Gaoming YANG
doaj
Noiseless Privacy-Preserving Decentralized Learning [PDF]
Decentralized learning (DL) enables collaborative learning without a server and without training data leaving the users' devices. However, the models shared in DL can still be used to infer training data.
Biswas, Sayan +6 more
core +1 more source
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Advanced Materials, EarlyView.Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
Privacy preserving based on differential privacy for weighted social networks
Tongxin xuebao, 2015 Focusing on the weak protection problems in privacy preservation of weighted social networks publication,a privacy preserving method based on differential privacy was put forward for strong protection of edges and edge weights.The WSQuery query model was
Li-hui LAN, Shi-guang JU
doaj +2 more sources
Privacy Preserving Data Modeling: An Overview
, 2012 [[abstract]]Privacy Preserving Data Modeling: An ...
王學亮
core