Results 81 to 90 of about 7,254 (303)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

FedSCOPE: Federated cross-domain sequential recommendation with decoupled contrastive learning and privacy-preserving semantic enhancement

Scientific Reports
Cross-domain sequential recommendation (CDSR) models users’ dynamic preferences by exploiting behavioral signals from multiple domains, but it faces challenges in data sparsity, domain heterogeneity, and privacy protection.
Lujin Zhao, Yi Lin, Sujuan Qin, Wenmin Li, Fei Gao, Yijie Shi, Zhengping Jin   +6 more
doaj   +1 more source

An Open-Source Graph Dataset Infringement Verification Method via Class-Expansion Backdoor Watermark

Future Internet
With the rapid development of the Internet, open-source graph datasets are increasingly shared and reused in intelligent networked services, making robust infringement verification increasingly important.
Zuocheng Yu, Ming Xu, Xiaogang Xing, Yuanhao Lin, Yuwen Shu, Xiaohan Qi   +5 more
doaj   +1 more source

Cyberspace: the warfare domain [PDF]

, 2013
Cyberspace is by itself a dimension that has own unique nature with characteristics that shape and affect global security environment as well as national security. The objective of this paper is to explore the nature of cyberspace as a warfare domain and
Md Zain, Md Zaki, Jusoff, Kamaruzaman, Songip, Ahmad Rahman, Ng, Boon Beng, Jayaraman, Prebagaran   +4 more
core   +1 more source

Positively Charged Polymer‐Brush MOFs for Large‐Area, Pressure‐Resistant Gas Separation Membranes

Advanced Materials, EarlyView.
A universal POPA strategy enables positively charged polymer‐brush MOFs with self‐adaptive interfacial interlocking to resist aggregation under fast processing. This design ensures seamless dispersion within large‐area selective layers, achieving 1 m‐wide roll‐to‐roll fabrication of pressure‐resistant MMCMs with tunable CO2 separation performance ...
Yi Yang, Ye Yuan, Yuxiu Sun, Fei Shi, Chenyang Song, Weifan Wang, Qinghua Li, Menglong Sheng, Zhihua Qiao, Jingwei Hou, Anthony K. Cheetham, Zhi Wang   +11 more
wiley   +1 more source

Always in control? Sovereign states in cyberspace [PDF]

, 2020
For well over twenty years, we have witnessed an intriguing debate about the nature of cyberspace. Used for everything from communication to commerce, it has transformed the way individuals and societies live.
Mainwaring, Sarah
core   +1 more source

Considerations for Cyberspace Security

, 2021
The development of space-based assets and systems provide capabilities and services for exploration, communications, meteorology, geo-spatial, and other national interests. The increased reliance on space-based and enabled services has intensified with the transformation to commercial deployment of space flight operations, reusable launch ...
openaire   +2 more sources

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

A multi-step hybrid forecasting model based on optimized secondary decomposition and TCN-BiLSTM with residual learning

Discover Computing
Accurate air quality forecasting is crucial for ecological environmental protection and public health early warning. To address the non-stationarity and noise inherent in AQI series, this study proposes a novel hybrid forecasting framework.
Zhaoqian Zhang, Xinyue Mo, Huan Li, Zeng Zhang, Peijun Guo   +4 more
doaj   +1 more source

Exploring the Fractal Space of Sparse Deep Neural Network

IEEE Access
Sparse deep neural networks (DNNs) are preferable in many real-world applications, especially edge computing. How to find the sparse structure of deep neural networks so that the model can achieve better performance is an important research topic.
Hang Xu, Zhuangzhi Chen, Jinhuan Wang, Shanqing Yu, Dongwei Xu, Qi Xuan   +5 more
doaj   +1 more source