The performance evaluation of various image contrast enhancement approaches using test images 6. by Xiaowen Zhang (83669)

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The performance evaluation of various image contrast enhancement approaches using test images 5. by Xiaowen Zhang (83669)

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The performance evaluation of various image contrast enhancement approaches using test images 4. by Xiaowen Zhang (83669)

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The performance evaluation of various image contrast enhancement approaches using test images 3. by Xiaowen Zhang (83669)

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The performance evaluation of various image contrast enhancement approaches using test images 2. by Xiaowen Zhang (83669)

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

Comparative experiments of large size algorithms. by Yanli Hou (6561536)

“…Taking fully into account the different information of concern for classification and localization, the efficient decoupled head is used as the prediction head of this algorithm, which reduces the latency while maintaining the accuracy. …”

Visual representation of the combination of feature extraction approaches employed and classification algorithms to identify stomata. by Alexandre H. Aono (11603934)

Constructing the dynamical law. by Robert Marsland (8616483)

Show parameter <i>N</i>_<i>x</i> for different topologies. by Maryam Shadi (14237349)

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Top-ranked hub genes identified by 5 cytoHubba algorithms. by Jun Li (6494)

Hyper parameter settings for ML Algorithms. by R. S. Jayaram (22139155)

The <i>FSIM</i> results for all algorithms. by Zihao Wang (845023)

“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”

The <i>SSIM</i> results for all algorithms. by Zihao Wang (845023)

“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”

The <i>PSNR</i> results for all algorithms. by Zihao Wang (845023)

“…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …”

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

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Flowchart showing the basic functioning of our implementation of the algorithm described in this paper. by Pablo Rodríguez-Sánchez (6711683)

“…<p>Flowchart showing the basic functioning of our implementation of the algorithm described in this paper.…”

Schematic diagram of ROI extraction algorithm. by Chengrui Lin (18700392)

“…In the open-set test, with a success rate of 93.4%, an average detection time of 5.95ms on the GPU, it was far ahead of the latest palm print ROI extraction algorithm and could be applied in practice.</p></div>…”

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Specific information on the 7 benchmark functions. by M. A. JiMing (19207527)