Results 101 to 110 of about 438,323 (269)

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

Robust Power and Subcarrier Allocation for OFDM-based Cognitive Radio Networks Considering Spectrum Sensing Uncertainties [PDF]

, 2013
‎In this paper‎, ‎we address power and subcarrier allocation for cooperative cognitive radio (CR) networks in the presence of spectrum sensing errors‎. ‎First‎, ‎we derive the mutual interference of primary and secondary networks affecting each other by ...
Fathi, H., Sadough, S. M.-S.
core   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

Performance Analysis of Cooperative Spectrum Sensing under Guaranteed Throughput Constraints for Cognitive Radio Networks

Journal of Computer Networks and Communications, 2016
One of the main challenges in cognitive radio networks is the ability of secondary users to detect the primary user presence with high probability of detection. In previous research, optimizing cooperative sensing in cognitive radio networks is performed
H. F. Al-Doseri, M. A. Mangoud
doaj   +1 more source

Artificial Neuron Based on Electrical Anisotropy from WSe2 Field Effect Transistors

Advanced Science, EarlyView.
An artificial neuron was realized based on the anisotropic mobility of WSe2. Dendritic and axon‐multisynaptic performance of a neuron was achieved with optical and voltage pulses. Recognition accuracy of handwritten digits was obtained to 97% based on the synaptic weight of an artificial neuron.
Qi Sun, Ping Chen, Kun Lv, Chuanwen Chen, Jinsheng Zhu, Zhiling Chen, Yaxian Lu, Ni Zhang, Zongqian Tan, Tao Lin, Caofeng Pan   +10 more
wiley   +1 more source

Cognitive Radio for Smart Grid with Security Considerations

Computers, 2016
In this paper, we investigate how Cognitive Radio as a means of communication can be utilized to serve a smart grid deployment end to end, from a home area network to power generation.
Khaled Shuaib, Ezedin Barka, Nedaa Al Hussien, Mohammed Abdel-Hafez, Mahmoud Alahmad   +4 more
doaj   +1 more source

Opportunistic unsynchronized cognitive radio networks

The 2010 International Conference on Advanced Technologies for Communications, 2010
The challenge of opportunistic networks is to maximize the usage of the spectrum by offering quick and easy access to independent systems and their users. A physical layer able to operate efficiently in an unsynchronized environment is needed and it is shown that the filter bank multicarrier (FBMC) technique can meet the objectives in terms of ...
openaire   +2 more sources

Dual Bipolar Resistive Switching in Wafer‐Scalable 2D Perovskite Oxide Nanosheets‐Based Memristor

Advanced Science, EarlyView.
A wafer‐scalable memristor based on 2D Sr2Nb3O₁₀ perovskite oxide nanosheets exhibits dual bipolar resistive switching through controllable oxygen ion migration and redox reactions. This single device enables both STDP and anti‐STDP synaptic functions, achieving 86.4% MNIST accuracy in supervised spiking neural networks, offering a compact, energy ...
Sohwi Kim, Chansoo Yoon, Haena Yim, Taeyoon Kim, Hoyoung Suh, Woohyeon Ryu, Gwangtaek Oh, Jihoon Jeon, Kwanyoung Oh, Yeonjoo Jeong, Ji‐Won Choi, Bae Ho Park   +11 more
wiley   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

Securing cognitive radio networks

International Journal of Communication Systems, 2010
AbstractCognitive radio is a promising technology aiming to improve the utilization of the radio electromagnetic spectrum. A cognitive radio device uses general purpose computer processors that run radio applications software to perform signal processing.
León Abarca, Olga, Hernández Serrano, Juan, Soriano Ibáñez, Miguel   +2 more
openaire   +4 more sources