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

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

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

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

Confusion matrix. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

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

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

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

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

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

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

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

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

data and code by PENGCHENG LIU (20680641)

“…<p dir="ltr"><b>1. project overview</b></p><p dir="ltr"> <b>Project name:</b> Fourier model algorithm for trajectory data.…”

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

“…Finally, the material system of <i>x</i>BaTiO₃-(1 – <i>x</i>)Bi(Zn_2/3Ta_1/3)O₃, which was not included in the data set, was synthesized experimentally and tested. …”

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)

SSO-01-EN-WOLF-DATASET by Sanyi Rodríguez Taboada (21782486)

Supporting data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers" by Bingxian Tang (9151802)

Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences by Sanmukh Kuppannagari (21798863)

“…<br><br>To achieve 10x-100x reduction in DNN energy consumption, a holistic approach is pursued, which encompasses: (1) new circuit designs that leverage emerging CMOS+X technologies; (2) a novel near-memory architecture in which processing elements are seamlessly integrated with traditional Dynamic RAM (DRAM); (3) novel 3D-matrix-based per-layer DNN computations and data-layout optimizations for kernel weights; and (4) algorithms and hardware/software co-design tailored for near-real-time DNN-based signal classification in next-generation wireless systems. …”

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

Yellow River Basin Industrial Base Spatio-temporal Monitoring and Impact Assessment Dataset by Libing Wang (21723566)

Oscillatory Field Genesis: The Emergent Architecture of Spacetime, Matter, and Memory by Drippy Stone (21218843)

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)

“…This analysis is based on hybrid data derived from 90,113 SNP loci, where P1 and P2 denote the maternal and paternal parents, respectively, and Gamma represents the fraction of genetic contribution from P1 to the hybrid. …”

<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)

“…The described extracted features were used to predict leaf betalain content (µg per FW) using multiple machine learning regression algorithms (Linear regression, Ridge regression, Gradient boosting, Decision tree, Random forest and Support vector machine) using the <i>Scikit-learn</i> 1.2.1 library in Python (v.3.10.1) (list of hyperparameters used is given in <a href="#sup1" target="_blank">Supplementary Data S5</a>). …”

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)