Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

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The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. by Ali Talebi (7164203)

Flowchart of the FPA algorithm. 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. …”

Algorithm convergence curve. 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. …”

Flowchart of the IFPA algorithm. 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. …”

PSO parameters and objective function. by André G. Coimbra (21354135)

GA parameters and objective function. by André G. Coimbra (21354135)

Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

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<i>p</i>-value of the Wilcoxon test for the optimization results of IWOA and other algorithms based 8 benchmark functions <i>(p</i>> = 0.5 are in bold). by Wei Liu (20030)

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The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

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Water consumption due to average value and fuzzy logic algorithm. by Gourab Saha (8987405)

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Crop yield prediction accuracy using different ML algorithms. by Gourab Saha (8987405)

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The support vector machine based on linear kernel function has the highest model accuracy when the number of variables is 16. by Xin Luo (428648)

Table_1_Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.DOCX by Andrea Corsini (12673323)

“…Hypothyroidism was diagnosed based on suggestive clinical signs and thyroid function tests. …”

Performance comparison of four optimization algorithms of reference function <i>f</i>₁–<i>f</i>₆. by Yiqiong Gao (16698968)

Performance comparison of four optimization algorithms of reference function<i>f</i>₇ -<i>f</i>₁₀. by Yiqiong Gao (16698968)

Fitness function curve at weight factor 0.3. by Dhulfiqar Hakeem Dhayef (17729684)

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Estimated HR trace comparison for two subjects of the ISPC dataset, obtained by DFDF (with MA cancellation only), FSM-DFDF (with MA cancellation and FSM framework), and FSM-SGPS (t... by Heewon Chung (2881286)

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2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection by Yun Zuo (8541492)

“…Five feature extraction strategies, namely, Kmer, General parallel correlation pseudo-dinucleotide composition, General series correlation pseudo-dinucleotide composition, Normalized Moreau–Broto autocorrelation, and Geary autocorrelation, and two types of classifier, Sparse Representation Classifier (SRC) and support vector machine with Mahalanobis distance-based radial basis function (SVMMDRBF), were used to construct a two-layered integrated classifier algorithm, 2lpiRNApred. …”

Characterization and Classification Using Autoregressive Modeling and Machine Learning Algorithms by Noushin R. Farnoud (4925308)