Results of proposed algorithms and algorithms in [9] for 18 instances. by Jin Zhang (53297)

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

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Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”

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)

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Comparison of different algorithms. by Dawei Wang (471687)

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

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

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Multi-algorithm comparison figure. by Dawei Wang (471687)

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Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

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Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Parameter sets of the chosen algorithms. by WanRu Zhao (18980374)

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The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

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The flow chart of WHO algorithm. by WanRu Zhao (18980374)

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Final solutions of a string problem for multiple algorithms runs. by Pavel Kodytek (10140509)

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Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…Subsequently, consensus variants predicted as pathogenic undergo further evaluation through a web server employing an algorithm based on structural homology. …”

Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm. by John E. Fleming (8533956)

“…<p>The performance of a scheduler (green line), the TV-BayesOpt with a periodic temporal covariance function (purple line) and the TV-BayesOpt with a periodic and smooth forgetting covariance algorithm were estimated by calculating the AUC value for the associated cumulative regret plot for each implementation at different offset in the true temporal period.…”

A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

“…<p>A hybrid algorithm based on improved threshold function and wavelet transform.…”

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

“…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”