Results 191 to 200 of about 19,135,649 (331)

Toward Useful Quantum Kernels

open access: yesAdvanced Quantum Technologies, EarlyView.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini   +2 more
wiley   +1 more source

Frequency Shaping for Improving a Trade‐Off Between Control and Privacy Performance: Beyond Differential Privacy

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe   +3 more
wiley   +1 more source

Regularized Gradient Statistics Improve Generative Deep Learning Models of Super Resolution Microscopy

open access: yesSmall Methods, EarlyView.
A generative AI model for super‐resolution microscopy images is presented. Super‐resolution microscopy provides high spatial detail at the expense of lower time resolution. Using it for live samples requires computational image reconstruction. It is unclear what good priors and metrics for AI‐generated super‐resolution images are.
Meri Abgaryan   +5 more
wiley   +1 more source

POCALI: Prediction and Insight on CAncer LncRNAs by Integrating Multi‐Omics Data with Machine Learning

open access: yesSmall Methods, EarlyView.
Long non‐coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis and therapy, highlighting the urgent need for computational methods to accelerate their comprehensive discovery. Here, to better predict and provide functional insight into cancer lncRNAs, a novel interpretable machine‐learning method (POCALI) is ...
Ziyan Rao   +5 more
wiley   +1 more source

Thermal Imaging for Quality Control in Thin Silicon‐Based Coatings for Lithium‐Ion Batteries: Defect Detection, Drying Dynamics, and Machine Learning‐Based Mass Loading Estimation

open access: yesSmall Methods, EarlyView.
Thermal imaging offers a non‐destructive approach to quality control in silicon‐based lithium‐ion battery electrodes, enabling the detection of defects, variations in mass loading, and the monitoring of drying dynamics. This study introduces an automated defect‐detection‐algorithm and a machine learning‐based Random Forest model to estimate mass ...
Adil Amin   +4 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

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