School of ChemistryYun XuSchool of ChemistryKatherine A. HollywoodSchool of ChemistryMichael L. TurnerSchool of ChemistryRoyston GoodacreSchool of ChemistryMetabolomicsGromski, P.S.; Xu, Y.; Hollywood, K.A.; Turner, M.L.; Goodacre, R. The influence of scaling metabolomics data on model ...
Image processing is used to improve the quality of images to extract valuable information from them; as a result of this feature, image processing techniques are used in many areas of the medical and agricultural fields, such as color processing, remote sensing, and pattern recognition. Image pro...
Quantum machine learning has seen considerable theoretical and practical developments in recent years and has become a promising area for finding real world applications of quantum computers. In pursuit of this goal, here we combine state-of-the-art algo
In current in situ X-ray diffraction (XRD) techniques, data generation surpasses human analytical capabilities, potentially leading to the loss of insights. Automated techniques require human intervention, and lack the performance and adaptability required for material exploration. Given the critical need...
This method of fine-tuning was extended in the paper “Scaling instruction-finetuned language models”, which introduced more than a thousand tasks during fine-tuning that more closely follow instructions as we know them from GPT models.8 This resulted in the Flan-T5 family of models that bene...
a set of static agents or a set of mobile and static agents have been used to achieve a single goal. Intelligent intrusion detection systems have been developed by proposing intelligent techniques for preprocessing and effective classification. Such IDSs have provided better detection rate in compariso...
Machine-learning techniques and their applications in manufacturing classificationscaling upmultiple modelsMachine learning is concerned with enabling computer programs automatically to improve their performance at some tasks through... DT Pham,AA Afify - 《Proceeding of the Institute of Mechanical Engineers ...
,F(7)fcimel=700(10fcilinear/2595-1)where the corresponding ith linear filter bank center frequency, denoted by fcilinear, is defined in terms of half filter bandwidth (frequency resolution) width, Δf. Also, Mel filter center frequency, denoted by fcimel, is obtained scaling fcilinear, ...
After the analytical outliers were eliminated, the range scaling method was used to normalize each breathomics feature to a range of 0 to 1 before further analysis34. Resampling techniques Over-sampling and under-sampling methods may lead to unsatisfactory classification performance since these methods...
The data distribution of test dataset was slightly different from the distribution of the training dataset. Whereas the test well is quite far from the training well. Fig. 11 shows the distributions of two features (P-impedance and S-impedance) before and after scaling (using standard scalar) ...