Pseudocode of artificial dragonfly algorithm. حسب Ghassan Ahmed Ali (17041488)

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The Hopfield artificial neural network algorithm. حسب Ghassan Ahmed Ali (17041488)

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Data_Sheet_1_Phase-wise evaluation and optimization of non-pharmaceutical interventions to contain the COVID-19 pandemic in the U.S..pdf حسب Xiao Zhou (122661)

Comparison of MAPE mean and RMSE mean for statistical significance. حسب Ghassan Ahmed Ali (17041488)

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Flow diagram of Wan Abdullah method for HNN. حسب Ghassan Ahmed Ali (17041488)

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G<i>m</i>R performance of various HNN-EB<i>k</i>SAT models. حسب Ghassan Ahmed Ali (17041488)

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List of some parameters of the ADA-HNN- EB<i>k</i>SAT model. حسب Ghassan Ahmed Ali (17041488)

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<i>MAPE performance of various</i> HNN-EB<i>k</i>SAT models. حسب Ghassan Ahmed Ali (17041488)

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RMSE performance of various HNN-EB<i>k</i>SAT models. حسب Ghassan Ahmed Ali (17041488)

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Flowchart for HNN-EB<i>k</i>SAT implementation procedure. حسب Ghassan Ahmed Ali (17041488)

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Training error and accuracy for all HNN models. حسب Ghassan Ahmed Ali (17041488)

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Implementation time performance of various HNN-EBkSAT models. حسب Ghassan Ahmed Ali (17041488)

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Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations. حسب Tristan Mary-Huard (3864)

"…After <i>K</i> − 2 = 2 steps, the resulting tree is binary and the algorithm stops.</p>…"

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…<b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"

Iteration curve of the optimization process. حسب Meijun Shang (22806461)

"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"

Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning حسب Lu Xin (728966)

"…Several morphologic and texture features at a single-cell level have been extracted from the quantitative phase images. In addition, we compared four common machine learning algorithms, including naive Bayes, decision tree, K-nearest neighbors, support vector machine (SVM), and fully connected network. …"

Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning حسب Lu Xin (728966)

"…Several morphologic and texture features at a single-cell level have been extracted from the quantitative phase images. In addition, we compared four common machine learning algorithms, including naive Bayes, decision tree, K-nearest neighbors, support vector machine (SVM), and fully connected network. …"

Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf حسب Kexin Han (10933209)

"…The model is based on TBESO (Multi-strategy Boosted Snake Optimizer) and utilizes monthly Dairy Herd Improvement (DHI) data to forecast the status of subclinical mastitis in cows.…"

Optimal PD-L1–high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy حسب Magdalena Zajac (69421)

"…The primary objective was to determine whether the TC ≥ 25%/IC ≥ 25% algorithm (i.e., cutoff of ≥ 25% TC or ≥ 25% IC with PD-L1 staining at any intensity above background) was optimal for predicting response to durvalumab. …"

Inconsistency concept for a triad (2, 5, 3). حسب Waldemar W. Koczkodaj (22008783)

"…The proposed regeneration method emulates three primary phases of a biological process: identifying the most damaged areas (by identifying inconsistencies in the pairwise comparison matrix), cell proliferation (filling in missing data), and stabilization (optimization of global consistency). …"