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

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

Predictive functions. by Niccolo Pescetelli (7000043)

Simultaneous point-spread function optimization in two optical arms with a single deformable mirror. by nikita vladimirov (9726569)

“…The two point-spread functions (PSFs) correspond to the same fluorescent bead, as seen in two orthogonal views of the microscope. …”

GLIM: Greedy algorithm for edge selection in LIM. by Maurits H. W. Oostenbroek (11331123)

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. …”

Basic structure of a GRNN. by Haoyuan Yang (8630391)

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Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

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

Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

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)

SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

DataSheet2_Building a network with assortative mixing starting from preference functions, with application to the spread of epidemics.pdf by Razvan G. Romanescu (19330324)

DataSheet1_Building a network with assortative mixing starting from preference functions, with application to the spread of epidemics.pdf by Razvan G. Romanescu (19330324)

Shows the LL component of output from the wavelet filter function for normal, benign, and malignant lung cancer samples. by Tehnan I. A. Mohamed (16846175)

The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. by Mengqi He (5753525)

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

The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. by Mengqi He (5753525)

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Results of comparisons with Fig 19. by Haoyuan Yang (8630391)

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