Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

Subjects:

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

“…A new feature selection algorithm, which was based on Luca fuzzy entropy and Gaussian membership function (LFE-GM), was proposed to reduce the dimensionality of the features. …”

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [23]. by Gilles Charmet (2079463)

“…<p>Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0222733#pone.0222733.ref023" target="_blank">23</a>].…”

F1 function and convergence curve graph. by Jiangli Yu (4601986)

Parameters of the genetic algorithm. by Jian Ma (170138)

Running memory of the algorithms. by Yanju Zhang (437336)

Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

Subjects:

Comparison of softsign function and tanh function. by Peihan Wen (6324315)

Algorithm of the brightness scale calibration experiment. by Krzysztof Petelczyc (3954203)

“…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …”

Schematic diagram of compensation function. by Yuki Kubota (10231766)

Model optimization flow by MFO algorithm. by Ruoqi Wang (14958062)

Subjects:

Performance comparison of mainstream algorithms. by Junjie Lu (160350)

“…To address this issue, this paper proposes FCMI-YOLO, a real-time fire detection algorithm optimized for edge devices. …”

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

Function <i>wVL</i> for evaluation of resettable bistability. by Takashi Naka (272391)

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Gaussian function surface with different σs. by JianWu Long (10731271)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

Subjects:

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems by Dongge Lei (6836915)

“…The effectiveness of the proposed QOBL-ICA is verified by testing on 20 benchmark functions and 3 engineering design problems. Experimental results show that the performance of QOBL-ICA is superior to most state-of-the-art meta-heuristic algorithms in terms of global optimum reached and convergence speed.…”