Protection of data-inferred tasks reduces the influence of extraction methods on model content. by Anne Richelle (6589178)

Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. by Alexander Borst (32619)

Schematic of the iterative algorithm. by Pierre Barrat-Charlaix (9556592)

DataSheet1_Resonance suppression strategy of DC distribution system based on reduced-order hybrid control algorithm.pdf by Zonghua Zheng (16927764)

“…The hybrid control enables the bus voltage to follow the reference voltage exactly, which suppresses resonance peaks in the voltage transfer function and reduces bus voltage fluctuations. Finally, the proposed hybrid control algorithm is simulated and verified in MATLAB/Simulink platform. …”

Constructing the dynamical law. by Robert Marsland (8616483)

Strahler number (<i>H</i>), branching ratio () and length ratio () as functions of relative age (). by Jonathan E Kings (20818367)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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-value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

“…The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence. …”

Presentation1_A Photovoltaic Power Predicting Model Using the Differential Evolution Algorithm and Multi-Task Learning.pdf by Senshen Pang (13025715)

Table_1_Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms.XLSX by Dong Xia (54339)

“…Three features frequently used in the analysis of fNIRS signals, namely time average, functional connectivity, and wavelet, were extracted and optimized using various metaheuristic operators, i.e., genetic algorithm (GA), particle swarm optimization (PSO), and their parallel and serial hybrid algorithms. …”

<i>M</i> = 100 realizations of time series <i>η</i> for stationary process, <i>N</i> = 5000 samples. by Martin Dodek (20623832)

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<i>M</i> = 100 realizations of time series <i>η</i> for non-stationary process, <i>N</i> = 40000 samples. by Martin Dodek (20623832)

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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

Time series <i>η</i> for stationary process, <i>N</i> = 5000 samples. by Martin Dodek (20623832)

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Time series <i>η</i> for stationary process, <i>N</i> = 500 samples. by Martin Dodek (20623832)

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Envelope of the colored noise signal <i>ϵ</i>_(<i>k</i>) from recording <i>2–81731-A-10.wav</i> as a function of sample number <i>k</i>. by Martin Dodek (20623832)

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Network vulnerability to compromised function of the PLN is reduced by strengthening links between Emergency Medical and Emergency Psychiatry doctors. by Michael H. McCullough (17781362)

Time series <i>η</i> for non-stationary process, <i>N</i> = 40000 samples. by Martin Dodek (20623832)

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Table_1_Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning.DOCX by Gaoyan Zhang (450697)

“…Multi-layer modular algorithm was performed on dynamic brain functional connectivity graph. …”