Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

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Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Finally, we derive an off-grid sparse model for the reconstructed signal by exploiting sparsity in the null domain and use Bayesian learning to compute the maximum a posteriori probability of the source signal, thus achieving DOA estimation. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Finally, we derive an off-grid sparse model for the reconstructed signal by exploiting sparsity in the null domain and use Bayesian learning to compute the maximum a posteriori probability of the source signal, thus achieving DOA estimation. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Flowchart of the subspace fitting algorithm for interpolated coprime arrays. by Chuanxi Xing (20141665)

Predicted sensitivity, specificity, PPV, and NPV of the four algorithms (a, b) and algorithms combinations (c, d) under Model-3 in the primary analysis. by Jia Wei (120974)

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Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

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Risk element category diagram. by Yao Hu (3479972)

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TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…”

Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis. by Jia Wei (120974)

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Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by Guangyin Jia (21075537)

“…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”

Proportion of positive results in each algorithm and latent prevalences by year. by Jia Wei (120974)

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Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. by Jia Wei (120974)

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Proportion of positive results in each algorithm and latent prevalences by age (a) and comorbidity (b) groups. by Jia Wei (120974)

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Performance of machine learning algorithms. by Wenxue Liu (6877754)

Chromosome coding. by Junjie He (700642)

“…Then, the epsilon constraint method was used to address the multi-objective model, followed by designing the genetic algorithm based on the problem characteristics for solutions. …”

Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

“…<p dir="ltr">The analytical continuation based on Taylor series expansion plays a vital role in the construction of the Earth gravitational model, the determination of regional geoid and so on. …”

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx by Anjan Kumar Pradhan (9386369)

“…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …”

Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx by Anjan Kumar Pradhan (9386369)

“…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …”

Table 3_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx by Anjan Kumar Pradhan (9386369)

“…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …”