Correspondence of grayscale values between brightness <i>l</i>₀ and brightness <i>l</i>₅. by Hui Huang (4122)

Subjects:

Correspondence of grayscale values between brightness <i>l</i>₀ and brightness <i>l</i>₃. by Hui Huang (4122)

Subjects:

Correspondence of grayscale values between brightness <i>l</i>₀ and brightness <i>l</i>₄. by Hui Huang (4122)

Subjects:

23 benchmark functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

“…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …”

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

Tour construction for a weighted graph with a probability function p ∈ [0,1]. by Matheus Sant’Ana Lima (9937809)

Ratio STD/mean as a function of for different <i>α</i>. by Luca Maria Del Bono (20479625)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Convergence curves of the mean function error values for six test functions at <i>D</i> = 30. by Xuxu Zhong (10099054)

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

Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”

The one-tailed precision for the algorithm as a function of predicted week for the three scenarios and two confidence limits (68% and 95%). by David Harvey (405930)

Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

“…<p>Background and Purpose: Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. …”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”

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. …”

Two equivalent switching functions and their switching circuits. by Alrik Thiem (4008182)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)