Prediction results under the association rule algorithm. by Yongkang Ding (21807539)

NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides by Zhihan Zhang (1403308)

“…Nonribosomal peptides serve as pivotal sources for drug discovery. Accurate prediction of the substrate specificity of adenylation domains in nonribosomal peptide synthetases is crucial for genome mining of nonribosomal peptides, yet current prediction methods fall short in accuracy. …”

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Data Sheet 1_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…</p>Result<p>The prevalence of health facility delivery in East Africa was found to be 83.71%. The findings showed that the support vector machine (SVM) algorithm and CatBoost performed best in predicting the place of delivery, in which both of those algorithms scored an accuracy of 95% and an AUC of 0.98 after optimized with Bayesian optimization tuning and insignificant difference between them in all comprehensive analysis of metrics performance. …”

Data Sheet 2_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf by Habtamu Setegn Ngusie (12178327)

“…</p>Result<p>The prevalence of health facility delivery in East Africa was found to be 83.71%. The findings showed that the support vector machine (SVM) algorithm and CatBoost performed best in predicting the place of delivery, in which both of those algorithms scored an accuracy of 95% and an AUC of 0.98 after optimized with Bayesian optimization tuning and insignificant difference between them in all comprehensive analysis of metrics performance. …”

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

Algorithm testing. by Ziad M. Ali (12516532)

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Impact of the results of the prediction method. by Xin Wang (91924)

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Feature selection using the Boruta algorithm method. by Alemu Birara Zemariam (17540938)

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Impact of shop type prediction results. by Xin Wang (91924)

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TB screening and diagnostic algorithm. by Arangba S (21656068)

Outcomes of the MARS algorithm in predicting the fresh herbage yield (FHY) of the SSG hybrid. by Halit Tutar (20678455)

Schematic diagram of the SARIMA algorithm flow. by Yongxin Dai (13796385)

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Noise reduction by the sliding average algorithm. by Yongxin Dai (13796385)

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RF Algorithm error rate of the model. by Halit Tutar (20678455)

“…The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…”

Model surface plots in MARS algorithm. by Halit Tutar (20678455)

“…The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…”

Convergence curves of the investigated algorithms. by Ziad M. Ali (12516532)

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Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

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Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)