Results 141 to 150 of about 90,442 (327)

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Linear approaches to resilient aggregation in sensor networks

Journal of Mathematical Cryptology, 2015
A sensor network is a network comprised of many small, wireless, resource-limited nodes that sense data about their environment and report readings to a base station. One technique to conserve power in a sensor network is to aggregate sensor readings hop-
Henry Kevin J., Stinson Douglas R.
doaj   +1 more source

Reliable Random Key Pre-Distribution Schemes for Wireless Sensor Networks [PDF]

, 2014
Si Gwan Kim
openalex   +1 more source

Scaling Up Purcell‐Enhanced Self‐Assembled Nanoplasmonic Perovskite Scintillators into the Bulk Regime

Advanced Materials, EarlyView.
This study presents a scalable approach to enhancing bulk scintillators using nanoplasmonics. By integrating 100‐nm silver nanoparticles with perovskite scintillator nanocrystals in a polymer matrix, significant improvements in light yield and decay rates via the Purcell effect are achieved.
Michal Makowski, Wenzheng Ye, Dominik Kowal, Francesco Maddalena, Somnath Mahato, Yudhistira Tirtayasri Amrillah, Weronika Zajac, Marcin Eugeniusz Witkowski, Konrad Jacek Drozdowski, Nathaniel, Cuong Dang, Joanna Cybinska, Winicjusz Drozdowski, Ferry Anggoro Ardy Nugroho, Christophe Dujardin, Liang Jie Wong, Muhammad Danang Birowosuto   +16 more
wiley   +1 more source

Reinforcement Learning-Driven Hunter-Prey Algorithm Applied to 3D Underwater Sensor Network Coverage Optimization

IEEE Access
As one of the key application scenarios of wireless sensor networks, the coverage optimization of underwater wireless sensor networks (UWSNs) requires special consideration of three-dimensional spatial characteristics, which distinctly differs from ...
Zibo Huang, Fangxiu Wang, Chen Su, Yi Wang, Hui Liu   +4 more
doaj   +1 more source

Improving Wireless Sensor Network Security Using Quantum Key Distribution

, 2023
Laith H. Alhasnawy, Ameer K. AL-Mashanji
openalex   +2 more sources

Upconversion Nanoparticle‐Covalent Organic Framework Core–shell Particles as Therapeutic Microrobots Trackable With Optoacoustic Imaging

Advanced Materials, EarlyView.
Upconversion nanoparticle‐covalent organic framework core–shell particles provide enhanced contrast for optoacoustic imaging by leveraging the optical absorption of upconversion luminescence within the covalent organic framework matrix. Beyond their role as contrast agents, these particles enable customizable therapeutic agent loading and release, as ...
Dong Wook Kim, Paul Wrede, Andrés Rodríguez‐Camargo, Yi Chen, Nihal Olcay Dogan, Chaim Glück, Bettina V. Lotsch, Daniel Razansky, Metin Sitti   +8 more
wiley   +1 more source

A Node Deployment Algorithm Based on Van Der Waals Force in Wireless Sensor Networks

International Journal of Distributed Sensor Networks, 2013
The effectiveness of wireless sensor networks (WSN) depends on the regional coverage provided by node deployment, which is one of the key topics in WSN. Virtual force-based algorithms (VFA) are popular approaches for this problem.
Xiangyu Yu, Ninghao Liu, Weipeng Huang, Xin Qian, Tao Zhang   +4 more
doaj   +1 more source

Photonic Nanomaterials for Wearable Health Solutions

Advanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park, Jung Woo Leem, Young L. Kim, Chi Hwan Lee   +3 more
wiley   +1 more source

Exceptional Thermal Conductivity in Printed Dielectrics through Compositional and Microstructural Design

Advanced Materials, EarlyView.
A multi‐generational compositional design creates a printable low‐loss dielectric composite that achieves over 16 W m−1 K−1. This breakthrough is enabled by thermal post‐processing, which promotes templated crystallization in a polymer matrix from surface‐modified particles, creating a “hetero‐percolated network.” The resulting material is three ...
Daniel J. Braconnier, Evan Z. Toth, José A. Martinez, In‐Chul Yeh, Ryan M. Dunn, Eric D. Wetzel, Randall M. Erb   +6 more
wiley   +1 more source