Performance of the three algorithms. by Juanjuan Lin (2096830)

“…To assess the risk under uncertainty, a conditional value at risk with regret (CVaR-R) measure is introduced when considering the existence of worst-case scenarios. …”

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Overall accuracy of the neural network for the identification of high-risk COVID-19 patients, at the first clinical stage, as a function of (a) the number of neurons in the hidden... by Mario A. Quiroz-Juárez (11457140)

Convergence curves of the two algorithms in the Griewank function. by Huazan Liu (9137461)

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Convergence curves of the two algorithms in the Rastrigin function. by Huazan Liu (9137461)

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-value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

“…The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence. …”

Comparative fraction of risk indexes. by Phuwadol Viroonluecha (13783106)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…These implementations need to utilize high-precision arithmetic, and are programmed in the Python programming language. A thorough comparison with existing R functions allows the identification of cases when the latter fail, and provide further guidance to their use.…”

Correlations between LA pump function and other parameters. by Roxana Cristina Rimbas (12501324)

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Table_2_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOC by Ledycnarf J. Holanda (10761786)

Table_1_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOCX by Ledycnarf J. Holanda (10761786)

Table_3_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOCX by Ledycnarf J. Holanda (10761786)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Ant colony algorithm function and parameter explanation. by Yang Yu (4292)

Evaluation of the collision risk estimation algorithm. by Kei Mizuno (15239)

The functional enrichment analysis of SOD2 and ZNF24 in OA. by Qiu Li (2127361)

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<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Data extraction and patient algorithm. by Jennifer M. Kwan (3350321)

Differential expression of DSRGs, PPI, and functional enrichment analysis for DSRGs in AMI. by Nan Huang (464390)

Demonstration of algorithm design and operationalization. by Tobias S. Brett (5353364)

“…In panels (f–i), we present a step-by-step outline of how, for any time series data, our fitted algorithm functions as an early warning system. …”