Results 141 to 150 of about 2,065,553 (347)
Monitoring of aircraft operation using statistics and machine learning
, 2003 Fazel Famili, Sylvain Létourneau
openalex +2 more sources
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 +9 more
wiley +1 more source
Directional Statistics in Machine Learning: a Brief Review
, 2016 Suvrit Sra
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Advanced Materials, EarlyView.A multifunctional memristor is demonstrated for in‐memory sensing and computing, leveraging a MoWS₂/VOx heterojunction to enable high ON/OFF ratio up to 10⁸ with ultralow operating voltages of ±0.2 V. This bio‐inspired multimodal design exhibits tunable synaptic behavior across electrical, optical, and humidity stimuli, enabling in situ modulation of ...
Abdul Momin Syed +8 more
wiley +1 more source
Flexible 3D Kirigami Probes for In Vitro and In Vivo Neural Applications
Advanced Materials, EarlyView.A customizable and scalable approach to fabricate flexible 3D kirigami microelectrode arrays (MEAs) featuring up to 128 shanks, including surface and penetrating electrodes designed to interact with the 3D space of neural tissue, is presented. The 3D kirigami MEAs are successfully deployed in several neural applications, both in vitro and in vivo, and ...
Marie Jung +10 more
wiley +1 more source
Machine learning
, 2017 Yi Zhang, Roger G. Melko, Eun-Ah Kim
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Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
Advanced Materials, EarlyView.This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin +7 more
wiley +1 more source
Advanced Materials, EarlyView.This study presents a polyanhydride‐based delivery platform for single‐injection, self‐boosting vaccines. The system enables programmable, pulsatile release of diphtheria toxoid with high antigen recovery and is guided by machine learning for tunability. In vivo results show immune responses comparable to multi‐dose regimens, highlighting its potential
Linzixuan Zhang +17 more
wiley +1 more source