Algorithm operation steps. حسب Junyan Wang (4738518)

"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Execution Steps of the EOF Algorithm. حسب Zezhi Lin (22521663)

The main steps of the general algorithm. حسب Dror Mughaz (18017583)

Representative neurons and their corresponding step functions. حسب Reem Khalil (10898163)

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

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3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. حسب Mahmood A. Jumaah (22272371)

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Working scheme of the smooth-index algorithm. حسب Alexander Borst (32619)

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Example performance of the smooth-index algorithm. حسب Alexander Borst (32619)

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Identification of recurrent synapses by the smooth-index algorithm. حسب Alexander Borst (32619)

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Skeletonisation algorithm. حسب Jordan Hembrow (16908051)

The data for Example 5 are sampled from the peaks function. حسب Yushi Liu (173457)

Performance of the smooth-index algorithm for matrices with different densities. حسب Alexander Borst (32619)

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Network structure of perception fusion algorithm. حسب Weilin Wu (13736)

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Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

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Images of partial benchmark functions. حسب ZeSheng Lin (20501356)

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Fitness function parameters. حسب Ankita Sharma (3183054)

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

"…The input parameters were set to: the angular distance of reference and target diodes from the central diode: pos = 1°; minimal and maximal luminous intensity of diodes: Imin = 0 cd, Imax = 1.3 cd, unit of inc increment: step = 5 mcd, and maximal number of trials before the change of target diode luminous intensity: T = 5. …"

Flowchart of improved FOX optimization algorithm. حسب Mahmood A. Jumaah (22272371)

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Algorithm parameters. حسب Ruyi Dong (9038174)

"…Finally, the Cauchy-Gaussian mutation strategy is utilized to prevent the algorithm from falling into local traps. These three steps enable LLSKSO to achieve a dynamic balance between local and global search. …"