Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

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. …”

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

Motion blur with <i>L</i> = 18 and <i>Φ</i> = 30° for the “caps.bmp” image. by Haoyuan Yang (8630391)

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Motion blur with <i>L</i> = 16 and <i>Φ</i> = 45° for the “lighthouse2.bmp” image. by Haoyuan Yang (8630391)

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Defocus blur with <i>r</i> = 4 for the “monarch.bmp” image. by Haoyuan Yang (8630391)

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Atmospheric turbulence blur with <i>σ</i> = 3.2 for the “plane.bmp” image. by Haoyuan Yang (8630391)

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Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs. by Tehnan I. A. Mohamed (16846175)

“…<p>Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs.…”

Probability density of the cumulative number <i>C</i> of infections for different system sizes <i>N</i> at their critical vaccination doses with the random vaccination strategy as... by Yannick Feld (16520678)

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Absolute error comparison of blur angle <i>θ</i>. by Wei Zhou (24328)

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Probability density functions (PDFs) of the simulated surveillance noise. by Sandor Beregi (22177739)

Friedman and Nemenyi tests of blur angle <i>θ</i>’s absolute errors. by Wei Zhou (24328)

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Absolute error of blur length <i>L</i> from our proposed method. by Wei Zhou (24328)

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Parameter definitions and estimation for functions <i>c</i>_<i>i</i>(<i>t</i>) and <i>q</i>_<i>i</i>(<i>t</i>) (i = 1,2,3). by Mengqi He (5753525)

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Predictive functions. by Niccolo Pescetelli (7000043)

Color-coded disparity <i>V</i>_<i>i</i>(<i>C</i>₁, <i>C</i>₂) of the <i>i</i>(<i>τ</i>) time series for <i>N</i> = 3200, <i>N</i>_<i>v</i>... by Yannick Feld (16520678)

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Infection time series <i>i</i>(<i>τ</i>) for different values of <i>C</i>. by Yannick Feld (16520678)

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Probability density functions of the cumulative fraction <i>C</i> of infections for <i>N</i> = 3200 for the different vaccination strategies. by Yannick Feld (16520678)

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Color-coded conditional densities <i>ρ</i>(<i>M</i>|<i>C</i>) for a network of <i>N</i> = 3200 nodes and <i>N</i>_<i>v</i> = 530 vaccination doses for the three analyzed... by Yannick Feld (16520678)

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Probability density functions of the cumulative fraction <i>C</i> of infections for <i>N</i> = 3200 and <i>N</i>_<i>v</i> = 530 for the different vaccination strategies. by Yannick Feld (16520678)

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