YOLOv8 model architecture diagram. by Xiaozhou Feng (2918222)

“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

FLMP-YOLOv8 architecture diagram. by Xiaozhou Feng (2918222)

“…To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”

Run time of 1000 iterations in a pilot study. by Lukas D. Sauer (19588975)

“…The optimal choice of these tuning parameters is subject to research. In a comparison study using simulations and numerical calculations, we are planning to investigate the use of utility functions for quantifying the compromise between power and type-I error inflation and the use of numerical optimization algorithms for optimizing these functions. …”

<b>Optimization of the whole life capacity configuration of the hydrogen production system based on improved whale optimization algorithm</b> by Fan Jiang (21178691)

“…The improvements notably boost the algorithm's convergence speed and optimization accuracy, as validated by five benchmark function types. …”

Data Sheet 1_Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation.docx by Kan Liu (250462)

“…The correlations between PKNOX1 expression and MDSC immune infiltration and immune cells were analyzed using the TIDE algorithm and the ESTIMATE algorithm. PKNOX1 -interacting proteins and expression-related genes were analysed via the STRING and TIMER 2.0 platforms, and the functions of PKNOX1 in tumors and the cell pathways involved were predicted via KEGG enrichment analysis. …”

Study algorithm. Participants were divided into two age groups (8–12 and 13–17 years) and underwent baseline assessment (T0) at the time of recruitment. They were then randomized t... by Carlos González-Pérez (20990602)

Optimal Subsampling for Functional Quasi-Mode Regression with Big Data by Tao Wang (12008)

“…We adopt a computationally efficient mode-expectation-maximization algorithm, augmented by a Gaussian kernel, for numerical estimation. …”

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…<p>Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. …”

Genome-wide identification of candidate regions associated with birth weight in Lori-Bakhtiari sheep using Random Forest algorithm by Mohammad Hossein Moradi (11400671)

“…This study was conducted to identify genetic loci associated with birth weight in a meat-type sheep using a Random Forest (RF) algorithm applied to genomic data. …”

Deep Neural Network for Functional Graphical Models Structure Learning by Shuoyang Wang (22127443)

“…<p>Functional data refer to data that are realizations of random functions varying over a continuum, such as images or signals. …”

Image 2_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif by Qi Wu (263110)

“…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …”

Table 1_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.xlsx by Qi Wu (263110)

“…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …”

Image 3_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif by Qi Wu (263110)

“…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …”

Image 4_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.tif by Qi Wu (263110)

“…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …”

Image 1_Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.jpeg by Qi Wu (263110)

“…Differentially expressed genes (DEGs) were screened using the limma package. Functional enrichment analysis was performed, and a PPI network was constructed. …”

Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm by Jinxu Huang (7865069)

Table 12_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

“…For instance, our results revealed genes with important functions for each trait, such as SERPINA14 (plays a key role for the endometrial epithelium) identified for AFC, HSPG2 (associated with morphological development and tissue differentiation) identified for BW, among others.…”

Table 10_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

“…For instance, our results revealed genes with important functions for each trait, such as SERPINA14 (plays a key role for the endometrial epithelium) identified for AFC, HSPG2 (associated with morphological development and tissue differentiation) identified for BW, among others.…”

Table 15_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

“…For instance, our results revealed genes with important functions for each trait, such as SERPINA14 (plays a key role for the endometrial epithelium) identified for AFC, HSPG2 (associated with morphological development and tissue differentiation) identified for BW, among others.…”

Table 8_Applying the algorithm for Proven and young in GWAS Reveals high polygenicity for key traits in Nellore cattle.xlsx by Adebisi R. Ogunbawo (21216281)

“…For instance, our results revealed genes with important functions for each trait, such as SERPINA14 (plays a key role for the endometrial epithelium) identified for AFC, HSPG2 (associated with morphological development and tissue differentiation) identified for BW, among others.…”