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 ...
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 ...
Machine learning-assisted screening for cognitive impairment in the emergency departmentcognitive impairmentdeliriumdementiaemergency medicinemachine learningBackground/objectives Despite a high prevalence and association with poor outcomes, screening to identify cognitive impairment (CI) in the emergency department...
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...
Machine-learning-assisted materials discovery using failed experiments 基于失败实验的机器学习辅助材料发现.pdf,LETTER doi:10.1038/nature17439 Machine-learning-assisted materials discovery using failed experiments 1 1 1 1 1 1 2 Paul Raccuglia , Katherine C
A microalgae biorefinery for producing green diesel, naphtha, and heavy oil is presented.A machine learning-assisted modeling of HTL of microalgae is propo... W Wu,CM Huang,YH Tsai - 《Algal Research》 被引量: 0发表: 2023年 Advances in computational intelligence of polymer composite materials:...
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 ...
Students will learn the basic concepts of Data Mining, Machine Learning and the specifics of the different data types generated in the context of modern Clinical Medicine. Also, a series of hands-on demonstration will help getting started with Machine Learning-assisted Clinical Medicine using widely...
Antenna design has evolved from bulkier to small portable designs but there is a need for smarter antenna design using machine learning algorithms that can meet today’s high growing demand for smart and fast devices. Here in this research, main focus is
This work also proposes a way of optimizing this lens-loaded dynamic aperture by exploiting the mode mixing mechanism governed by a machine learning-assisted evolutionary algorithm. The concept is verified by a series of extensive simulations of the dynamic aperture states obtained via the machine ...