Machine learning assisted ExTRM is applied to learn the behavior of antenna and predict the reflectance value for a wide range of frequencies. Experimental results prove that the use of the ExTRM based model for simulation of antenna design can cut the simulation time, and resource requirements ...
Interpretable machine learning (ML) provides the potential to distill universal descriptor models in high-dimensional systems22. The symbolic regression algorithm (e.g., genetic programming23and SISSO24), as the most applied interpretable ML in catalysis17,25,26,27, utilizes mathematical operators to ...
Quantum machine learning explores the interplay between machine learning and quantum physics,which may lead to unprecedented perspectives for both fields.I... W Gong,DL Deng - 国家科学评论(英文版) 被引量: 0发表: 2022年 MACHINE LEARNING ASSISTED QUBIT STATE READOUT Techniques for machine learning ...
Machine Learning Assisted Wearable Wireless Device for Sleep Apnea Syndrome DiagnosisSLEEP apnea syndromesMACHINE learningRANDOM forest algorithmsOXYGEN in the bloodOXYGEN saturationSleep apnea syndrome (SAS) is a common but underdiagnosed health problem related to impaired quality of life and...
You are looking for a course only covering the theory of Machine Learning Assisted Clinical Medicine. Many demos are included in the course and the instructor believes that reproducing these demos is a critical activity required to reach the course's goals Curriculum Module 1: Clinical Medicine,...
Recently, machine-learning-assisted optimization (MLAO) has been widely introduced to accelerate the design process of antennas and arrays. Machine learning (ML) methods, including Gaussian process regression, support vector machine (SVM) and artificial neural networks (ANNs), have been applied to ...
Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design The superior multi-functional properties of polymer composites have made them an ideal choice for aerospace, automobile, marine, civil, and many other tech... A Sharma,T Mukhopa...
In this equation, η represents the learning rate that influences the scale of adjustment steps within the parameter space, while ∂O(x)/∂x denotes the partial derivative of the objective function O(x) with respect to the parameter x. Applying this iterative rule nudges the parameters towar...
et al. Machine-learning-assisted single-vessel analysis of nanoparticle permeability in tumour vasculatures. Nat. Nanotechnol. 18, 657–666 (2023). https://doi.org/10.1038/s41565-023-01323-4 Download citation Received05 July 2022 Accepted06 January 2023 Published13 February 2023 Issue DateJune ...
Fig. 2: General framework for the machine learning assisted design of Kirigami meta-atoms and metamaterials. aDataset collection.bMachine learning framework.cImplementation of Kirigami machine learning design. Full size image Results and discussion ...