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

Action potential of sample points in model 2. حسب 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. حسب 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. حسب 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 1. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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 حسب PENGCHENG LIU (20680641)

"…In the visual studio development environment, open the Fourier trajectory.sln project under the Fourier trajectory directory to open the development package of the Fourier model algorithm for trajectory data.…"

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO₃–BiMeO₃ Ceramics حسب 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 data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers" حسب Bingxian Tang (9151802)

"…This model enables a deeper exploration of the network's mechanical behavior under diverse conditions, shedding light on the complex interplay between microstructural features and macroscopic properties.</p><h2>Data Set Composition and Structure</h2><p dir="ltr">The data set comprises a meticulously organized collection of files, each serving a specific purpose in documenting the simulation process and results. …"

Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences حسب 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 حسب Qidong Li (9069932)

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

"…The dataset aggregates data elements and core algorithm codes that underpin the key research stages of the paper, with a focus on demonstrating and reproducing the innovative methodologies employed, rather than directly sharing sensitive raw data or precise measurement values.…"

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

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

"…All analyses were performed using the <i>lmer</i>, <i>emmeans</i> and <i>multcomp</i> packages in R (v.4.3.1).</p><h2><b>B. Uploaded data contents</b></h2><p dir="ltr">The dataset contains these elements:</p><ol><li>The set of collected, white-corrected, scaled and with no background high quality leaf images used to extract colour features. …"

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

"…<p dir="ltr">The main focus of this thesis is to develop appropriate morphology modelling strategies for typical deformable structures by integrating physics-aligned prior knowledge and deep learning algorithms. …"

Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice حسب 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. …"

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

"…<p dir="ltr">This CSV file contains a comprehensively curated dataset comprising physicochemical descriptors and biological assay data for engineered metal oxide nanoparticles. This dataset was specifically developed to support machine learning model training for toxicity prediction and represents the result of an extensive multi-stage data extraction and curation pipeline. …"