Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

“…To preform accurate forecasts on energy storage, a data-driven machine learning approach based on artificial neural networks (ANN) was optimized via a Bayesian optimization algorithm to predict the structural battery’s future capacity. …”

Pareto optimal front result of MOCOA. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Confusion matrix. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Action potential of sample points in model 1. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Performance comparison with other papers. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Action potential of sample points in model 2. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Action potential of sample points in model 0. by Hang Zhao (143592)

“…A deep VMD-attention network based on MOCOA was developed for ECG signal classification. …”

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO₃–BiMeO₃ Ceramics by Jian Liu (33711)

“…Three distinct feature vector spaces were constructed based on the physicochemical characteristics of constituent elements, related property information, and sintering process parameters. …”

Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation" by Yingqi Li (9151304)

Supporting data for Histone crotonylation is a novel epigenetic regulation and a therapeutic vulnerability for liver cancer treatment by Qidong Li (9069932)

Data Sheet 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.docx by Roberto Visalli (8152251)

“…The processing strategy is based on the sequential application of the Principal Components Analysis and the supervised Maximum Likelihood Classification algorithms that allow us distinguishing among rock constituents (mineral phases, vesicles and glasses), quantifying their modal abundances, and identifying textural and chemical variations in a simplified and quick process. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…”

Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx by Roberto Visalli (8152251)

“…The processing strategy is based on the sequential application of the Principal Components Analysis and the supervised Maximum Likelihood Classification algorithms that allow us distinguishing among rock constituents (mineral phases, vesicles and glasses), quantifying their modal abundances, and identifying textural and chemical variations in a simplified and quick process. …”

Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice by Yiyong Zhao (21466062)

“…Detailed quality assessment of newly sequenced whole-genome data preprocessing results for five super-hybrid rice varieties and their parental progenitors in this study. …”

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

“…Details on the data sourcing process, prompt engineering strategies for large language model (LLM)-based extraction, and validation protocols are provided in the Supplementary Information section.…”