MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

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MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

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MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

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MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

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Power flow and cost optimization with Improved PSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

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Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Power flow and cost optimization with APSO variant-16 of APSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

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CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

a) FO Function, b) FI function. by Huang Jiexian (17060975)

“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. by Miray Unlu Yazici (14792680)

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The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

An example of our color correction algorithm (with primary surface function <i>f</i>₁). by Guixiang Zhang (383795)

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The specific implementation of the BioRS function in the molecular biological aspect. by Alexander V. Spirov (11302085)

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