Available functions in the phase-shifting package. by Raul Castañeda (13932971)

Available functions in the numerical propagation package. by Raul Castañeda (13932971)

Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

Damping oscillation function (before adding random numbers). by Fujun Wang (96184)

Damping oscillation function (after adding random numbers). by Fujun Wang (96184)

Identification of hub DE-SRGs. by Xihao Shen (20347942)

Subjects:

Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

APSO–WOA–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

Subjects:

APSO–WOA–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

Subjects:

The molecules active against <i>P</i>. <i>falciparum</i> gametocytes identified in this study clustered based upon chemical structure similarity using the FragFp algorithm. by Oleksiy Tsebriy (17108716)

Comparison of key evaluation indicators for recommendation algorithms. by Mingbao Yang (14008799)

ANOVA test over the seven benchmark functions, treatment is between columns and residual is within columns. by El-Sayed M. El-kenawy (14581088)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. by Mahmoudreza Moein (22127153)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Parameters of the test function. by Yiqiong Gao (16698968)

“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”

Image3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

“…Consensus clustering analysis was used to investigate whether there was a difference in biological functions within PRG-based subtypes. Finally, the expression of the kernel PRGs were validated in vivo by qRT-PCR.…”

Image1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

“…Consensus clustering analysis was used to investigate whether there was a difference in biological functions within PRG-based subtypes. Finally, the expression of the kernel PRGs were validated in vivo by qRT-PCR.…”