Rosenbrock function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

الموضوعات:

Levy function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

الموضوعات:

Rastrigin function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

الموضوعات:

Rosenbrock function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

الموضوعات:

Levy function processing time and deviations from constraint for . حسب Shikun Chen (14625352)

الموضوعات:

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

S and V shaped transfer functions. حسب Chenyi Zhu (9383370)

الموضوعات:

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

The empirical distribution function and fitted distribution functions for data sets <i>Q</i> and <i>T</i>. حسب Salem A. Alyami (10572611)

Fitness comparison on test function. حسب Kejia Liu (5699651)

الموضوعات:

Table3_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table14_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table4_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table1_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table2_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image6_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image5_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image2_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image4_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"