Results 81 to 90 of about 44,065 (274)
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
In this paper, we study the queue performance for energy-harvesting cognitive radio sensor networks (EHCRSNs) where the cooperation between the primary user and the sensor is applied.
Wanguo Jiao, Guoqing Liu, Haiqing Wu
doaj +1 more source
Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy
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 +6 more
wiley +1 more source
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 +11 more
wiley +1 more source
Security Enhanced Clustering Scheme for Routing in Cognitive Radio Sensor Networks
Due to the scarcity of wireless spectrum, it entails the utilization of dynamic shared spectrum solutions, which can be availed with an intelligent wireless communication technology called Cognitive Radio (CR).
Prathana Saikia +2 more
doaj +1 more source
Joint Resource Allocation for Wireless Energy Harvesting Enabled Cognitive Sensor Networks
In this paper, we consider a cognitive relaying network, where the cognitive sensor transmitter (CST) is capable of harvesting energy from the radio frequency signals with a power splitting scheme.
Weidang Lu +6 more
doaj +1 more source
Cognitive Radio Networks as Sensor Networks
Cognitive radios are wireless communication networks that learn and adapt to variations in interference environment by changing their transmission and reception parameters, and as a result achieve much higher spectral efficiency and reliability. The technology relies on rapid and accurate sensing of interference characteristics such as detection and ...
Bandari, Dorna +3 more
openaire +1 more source
Artificial Neuron Based on Electrical Anisotropy from WSe2 Field Effect Transistors
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 +10 more
wiley +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
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 +17 more
wiley +1 more source

