Results 241 to 250 of about 453,959 (303)

Automated Classification of Homeostasis Structure in Input-Output Networks. [PDF]

Bull Math Biol
Lin X, Antoneli F, Wang Y.
europepmc   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Topological acoustic synapse for high-dimensional neuromorphic computing. [PDF]

Sci Adv
Chen J, Ige AS, Runge K, Deymier PA, Yan X.   +4 more
europepmc   +1 more source

Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model. [PDF]

Sci Rep
Kong Z, Li S, Wang C.
europepmc   +1 more source

Compositionality and systematicity emerge from iterated learning in deep linear networks. [PDF]

Proc Natl Acad Sci U S A
Jarvis D, Klein R, Rosman B, Saxe AM.
europepmc   +1 more source

Hardware-Efficient Real-Valued Neural Predistorter for Multimode Power Amplifiers. [PDF]

Sensors (Basel)
Freire LBC, Schuartz L, Lima EG.
europepmc   +1 more source

Dual chaotic encryption method for wireless communication privacy data based on deep learning. [PDF]

PLoS One
Yu H.
europepmc   +1 more source

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Sampling and Reconstruction of Multiple-Input Multiple-Output Channels

IEEE Transactions on Signal Processing, 2019
Based on the recent development of sampling and reconstruction results for slowly time-varying single-input single-output channel operators, we derive sampling results in the multiple-input multiple-output setting where all subchannels satisfy an underspread condition, that is, their spreading functions are supported on individual sets of small measure.
Dae Gwan Lee, Gotz E Pfander, Volker Pohl   +2 more
exaly   +3 more sources