Results 71 to 80 of about 77,553 (343)
Soft, Flexible, and Stretchable Platforms for Tissue‐Interfaced Bioelectronics
Advanced Science, EarlyView.Bio‐integrated electronics provide mechanically compliant and stable interfaces with soft biological tissues. Representative applications include neural interfaces, wet‐organadhesive electronics, and skin‐interfaced devices. E represents Young´s modulus and ε represents strain.
Kento Yamagishi +3 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT Agricultural soils offer great potential for carbon sequestration through humus formation. One way to motivate farmers to build up humus is through humus programs. These are still at an early stage of development, poorly explored, and the number of participating farmers is low. Our aim is to explain the heterogeneity of farmers' willingness to
Julia B. Block +2 more
wiley +1 more source
Multi-classification for high-dimensional data using probabilistic neural networks
Journal of Radiation Research and Applied Sciences, 2022 Multi-classification tasks need sufficient information provided by the input data, whereas the input data lying in the high-dimensional space presents too sparse distributions to afford rich information, which creates trouble for multi-classification ...
Jingyi Li, Xiaojie Chao, Qin Xu
doaj +1 more source
Projection Methods and the Curse of Dimensionality
Journal of Mathematical Finance, 2018 We study the ability of three different projection methods to solve high-dimensional state space problems: Galerkin, collocation, and least squares projection. The curse of dimensionality can be reduced substantially for both Least Squares and Galerkin projection methods through the use of monomial formulas.
Heer, Burkhard, Maußner, Alfred
openaire +3 more sources
A fast algorithm for approximating the ground state energy on a quantum computer
, 2013 Estimating the ground state energy of a multiparticle system with relative error $\e$ using deterministic classical algorithms has cost that grows exponentially with the number of particles.
Papageorgiou, Anargyros +3 more
core +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network
IEEE Access, 2018 Functional magnetic resonance imaging (fMRI) has increasingly come to dominate brain mapping research, as it provides a dynamic view of brain matter. Feature selection or extraction methods play an important role in the successful application of machine ...
Xiaowen Xu +5 more
doaj +1 more source
Sensors, 2020 Due to the spectral complexity and high dimensionality of hyperspectral images (HSIs), the processing of HSIs is susceptible to the curse of dimensionality. In addition, the classification results of ground truth are not ideal. To overcome the problem of
Hong Liu +4 more
doaj +1 more source
Reducing Curse of Dimensionality: Improved PTAS for TSP (with Neighborhoods) in Doubling Metrics [PDF]
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2015 We consider the Traveling Salesman Problem with Neighborhoods (TSPN) in doubling metrics. The goal is to find the shortest tour that visits each of a given collection of subsets (regions or neighborhoods) in the underlying metric space. We give a randomized polynomial-time approximation scheme (PTAS) when the regions are fat weakly disjoint ...
T.-H. Hubert Chan, Shaofeng H.-C. Jiang
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