DataSheet1_Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study.docx by Sergei Evteev (18294157)

“…</p><p>Methods: We developed Quantum-assisted Fragment-based Automated Structure Generator (QFASG), a fully automated algorithm designed to construct ligands for a target protein using a library of molecular fragments. …”

Supporting data for "clinical-oriented surgical planning based on finite element method and automate-generated surgical templates assisting the spinal surgery" by Tianchi Wu (11062323)

“…Remaining algorithm needed was reimplemented from open-source libraries.…”

Algorithms of Load Balancing in Next-Generation Mobile Netwoks: A systematic literature review by Juan Gabriel Ochoa-Aldeán (20678912)

“…Through a <b>systematic review following the PRISMA methodology</b>, we analyzed 45 studies from five scientific databases (IEEE Xplore, Scopus, ScienceDirect, SpringerLink, and ACM Digital Library), identifying key patterns:</p><ol><li>The correlation between optimization parameters (latency, throughput, user mobility) and the performance of automatic/hybrid algorithms.…”

Intelligent Selection of Metal–Organic Framework Arrays for Methane Sensing via Genetic Algorithms by Jenna A. Gustafson (3744139)

“…We build on our previously reported computational design methodology, which ranked MOF arrays by their Kullback–Liebler divergence (KLD) values for probabilistically describing the concentrations of each gas species in an unknown mixture. We ran the genetic algorithm to find optimal MOF arrays of various sizes when selecting from a library of 50 different MOF materials. …”

Efficient Regionalization for Spatially Explicit Neighborhood Delineation by Sergio Rey (8045333)

Chinese-STS-B dataset. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Ablation test results for character matching. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Image space visualization results. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Evaluation result of competition datasets. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Dot matrix space visualization results. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Reconstruction result. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Lcqmc dataset. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Test result comparison of general datasets. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

AFQMC ant financial semantic similarity dataset. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Bustm dataset. by Meilong Zhu (17200360)

“…The text similarity evaluation algorithm based on corpus and deep learning technology has problems such as insufficient amount of cross-library learning data and insufficient core content tendency in the similarity judgment of patent application technology disclosure document, which limits their performance and practical application. …”

Efficient Regionalization for Spatially Explicit Neighborhood Delineation by Ran Wei (8707228)

Data_Sheet_1_CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage.docx by Yanfen Zheng (3814507)

“…In this study, we describe an enhanced gradient-based optimizer that includes the Cauchy and Levy mutation strategy (CLGBO) to construct DNA coding sets, which are used as primer and address libraries. …”

Presentation_1_Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction.pdf by Yongcheng Lin (776525)

“…In this study, we utilized a sea ice concentration dataset obtained from satellite remote sensing and applied the k-nearest-neighbors (Ice-kNN) machine learning model to forecast the summer Arctic sea ice concentration and extent on 122 days prediction. Based on the physical characteristics of summer sea ice, different algorithms are employed to optimize the prediction model. …”

Presentation_1_Optimization of the k-nearest-neighbors model for summer Arctic Sea ice prediction.pdf by Yongcheng Lin (776525)

“…In this study, we utilized a sea ice concentration dataset obtained from satellite remote sensing and applied the k-nearest-neighbors (Ice-kNN) machine learning model to forecast the summer Arctic sea ice concentration and extent on 122 days prediction. Based on the physical characteristics of summer sea ice, different algorithms are employed to optimize the prediction model. …”

Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential by Fengyang Han (14613218)

“…This information is useful to guide the construction of libraries for shape-based virtual screening and to improve the docking algorithm to efficiently sample bound conformations.…”