Results 291 to 300 of about 22,742,798 (333)

Deep Learning‐Enhanced Hand‐Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPR

Advanced Science, EarlyView.
Efficient R‐CHIP HR‐HPV Screening System: The R‐CHIP system utilizes the RPA/CRISPR method, a hand‐driven centrifugal microfluidic device, a smartphone micro‐imaging system, and the ResNet‐18 deep‐learning algorithm to simplify the sample detection process, ensure accurate results, and reduce costs.
Tao Xu, Ying Zhang, Shunji Li, Chenxi Dai, Hongguo Wei, Dongjuan Chen, Yunjun Zhao, He Liu, Deliang Li, Peng Chen, Bi‐Feng Liu, Ye Tian   +11 more
wiley   +1 more source

Tailoring Piezoelectric Nanogenerators and Microdevices for Cellular Excitation: Impact of Size and Morphology

Advanced Science, EarlyView.
Piezoelectric microdevices, composed of ZnO nanosheets acting as nanogenerators and grown on silicon microparticles, are designed and fabricated to deliver precise electrical cell stimulation. This study optimizes nanosheet growth and microparticle size to enhance electrical cell activation performance while minimizing cellular internalization.
Laura Lefaix, Marc Navarro, Carme Nogués, Andreu Blanquer, Gonzalo Murillo   +4 more
wiley   +1 more source

Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare

Advanced Science, EarlyView.
This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Hotel data privacy: strategies to reduce customers’ emotional violations, privacy concerns, and switching intention

Journal of Travel & Tourism Marketing, 2022
This study develops a solid theoretical framework explaining data vulnerability, psychological anxiety, and switching intention of customers through hotel data privacy. Data privacy developed in this study is classified into four sub-factors. The results
Jongsik Yu, Hyoungeun Moon, Bee‐Lia Chua, Heesup Han   +3 more
semanticscholar   +1 more source

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

IEEE/ASME transactions on mechatronics, 2021
Intelligent data-driven machinery fault diagnosis methods have been popularly developed in the past years. While fairly high diagnosis accuracies have been obtained, large amounts of labeled training data are mostly required, which are difficult to ...
Wei Zhang, Xiang Li
semanticscholar   +1 more source

How to address data privacy concerns when using social media data in conservation science

Conservation Biology, 2021
Social media data are being increasingly used in conservation science to study human–nature interactions. User‐generated content, such as images, video, text, and audio, and the associated metadata can be used to assess such interactions.
E. Di Minin, Christoph Fink, A. Hausmann, Jens Kremer, Ritwik Kulkarni   +4 more
semanticscholar   +1 more source

Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions

Structural Health Monitoring, 2021
Federated learning has been receiving increasing attention in the recent years, which improves model performance with data privacy among different clients.
Wei Zhang, Xiang Li
semanticscholar   +1 more source

An AI-Enabled Three-Party Game Framework for Guaranteed Data Privacy in Mobile Edge Crowdsensing of IoT

IEEE Transactions on Industrial Informatics, 2021
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT) devices provides an economic and efficient solution to participation in coordinated large-scale sensing tasks.
Jinbo Xiong, Mingfeng Zhao, Md Zakirul Alam Bhuiyan, Lei Chen, Youliang Tian   +4 more
semanticscholar   +1 more source

Privacy and Data Protection

SSRN Electronic Journal, 2021
Abstract Against the background of the centrality of data for contemporary economies, the chapter contributes to a better understanding and contextualization of data protection and its interfaces with global trade law. It looks at existing international, transnational, and selected national frameworks for privacy protection and briefly ...
openaire   +2 more sources

Zeph: Cryptographic Enforcement of End-to-End Data Privacy

USENIX Symposium on Operating Systems Design and Implementation, 2021
As increasingly more sensitive data is being collected to gain valuable insights, the need to natively integrate privacy controls in data analytics frameworks is growing in importance.
Lukas Burkhalter, Nicolas Küchler, Alexander Viand, Hossein Shafagh, Anwar Hithnawi   +4 more
semanticscholar   +1 more source