Articles with "parameter free" as a keyword



Order‐Parameter‐Free Analysis of Soft Matter: Applications of Machine Learning via Image Recognition

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Published in 2024 at "Annalen der Physik"

DOI: 10.1002/andp.202400197

Abstract: Various characteristic structures, with no long‐range spatial order, have often been observed in studies on the structural formation of soft materials. The order parameters, used to date, are not promising for computer detection of these… read more here.

Keywords: free analysis; analysis; parameter free; machine learning ... See more keywords
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A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors

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Published in 2020 at "Applied Intelligence"

DOI: 10.1007/s10489-019-01598-y

Abstract: Instance selection aims to search for the best patterns in the training set and main instance selection methods include condensation methods, edition methods and hybrid methods. Hybrid methods combine advantages of both edition methods and… read more here.

Keywords: natural neighbors; instance selection; parameter free; free hybrid ... See more keywords

Gaussian network model can be enhanced by combining solvent accessibility in proteins

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Published in 2017 at "Scientific Reports"

DOI: 10.1038/s41598-017-07677-9

Abstract: Gaussian network model (GNM), regarded as the simplest and most representative coarse-grained model, has been widely adopted to analyze and reveal protein dynamics and functions. Designing a variation of the classical GNM, by defining a… read more here.

Keywords: solvent accessibility; gnm; parameter free; model ... See more keywords

An Improved Model Parameter‐Free Predictive Control With Fast Gradient Updating for Three‐phase Three‐Level Inverters

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Published in 2025 at "IET Power Electronics"

DOI: 10.1049/pel2.70064

Abstract: Look‐up‐table (LUT) based model parameter‐free predictive control (MFPC) suffers from long update time and large storage requirement, particularly when applied to multi‐level inverters. To address these challenges, this paper proposes an improved MFPC with fast… read more here.

Keywords: parameter free; predictive control; model parameter; free predictive ... See more keywords

Seismic tomography using parameter-free Backus–Gilbert inversion

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Published in 2019 at "Geophysical Journal International"

DOI: 10.1093/gji/ggz175

Abstract: S U M M A R Y This proof-of-concept study presents a parameter-free, linear Backus–Gilbert inversion scheme, tractable for seismic tomography problems. It leads to efficient computations of unbiased tomographic images, accompanied by meaningful resolution… read more here.

Keywords: inversion; parameter free; backus gilbert; seismic tomography ... See more keywords

Parameter-free differential evolution algorithm for the analytic continuation of imaginary time correlation functions.

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Published in 2022 at "Physical review. E"

DOI: 10.1103/physreve.106.025312

Abstract: We report on differential evolution for analytic continuation: a parameter-free evolutionary algorithm to generate the dynamic structure factor from imaginary time correlation functions. Our approach to this long-standing problem in quantum many-body physics achieves enhanced… read more here.

Keywords: parameter free; correlation functions; imaginary time; analytic continuation ... See more keywords

ELS: A Fast Parameter-Free Edition Algorithm With Natural Neighbors-Based Local Sets for k Nearest Neighbor

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3005815

Abstract: The instance reduction is one of the data preprocessing methods and aims to remove noises and (or) redundant instances from the training set. In the instance reduction, one of the most representative techniques is the… read more here.

Keywords: parameter free; natural neighbors; local sets; edition ... See more keywords

A Parameter-Free Vibration Analysis Solution for Legacy Manufacturing Machines’ Operation Tracking

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Published in 2020 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.2994395

Abstract: Despite the fact that the revolution of Industry 4.0 has started almost a decade ago, there are still many yesteryear’s manufacturing machines that are still currently in operation in many small and medium enterprises (SME)… read more here.

Keywords: parameter free; vibration; vibration analysis; manufacturing machines ... See more keywords

Efficient Parameter-Free Adaptive Multi-Modal Hashing

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Published in 2020 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2020.3008335

Abstract: Unsupervised multi-modal hashing has recently attracted broad attention in research area of large-scale multimedia retrieval for its low storage cost, high retrieval speed, and independence on semantic labels. However, the model learning process of existing… read more here.

Keywords: multi modal; modal hashing; efficient parameter; parameter free ... See more keywords

A CAM-Guided Parameter-Free Attention Network for Person Re-Identification

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Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3186273

Abstract: Most existing attention mechanisms have no supervised signal during the training phase, which limits the model feature learning capability. To solve this problem, we propose a novel parameter-free attention mechanism based on class activation mapping.… read more here.

Keywords: free attention; parameter free; spatial attention; person ... See more keywords

Asymmetric PoolCsiNet With Parameter-Free Encoder at UE for CSI Feedback

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Published in 2024 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2024.3416889

Abstract: Deep learning (DL) has been increasingly adopted for channel state information (CSI) feedback to harness the performance gains promised by massive multiple-input multiple-output (MIMO). Existing DL-based feedback schemes prioritize the accuracy of CSI reconstruction, which… read more here.

Keywords: parameter free; poolcsinet; feedback; encoder ... See more keywords