The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

The parameters of algorithms. by Le Huu Binh (18340233)

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Supplementary file 1_Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI.zip by Nina de Lacy (6559520)

“…Deep learning was guided by an evolutionary algorithm that jointly performed optimization across hyperparameters and automated feature selection, allowing more candidate predictors and a wider variety of predictor types to be analyzed than the largest previous comparable machine learning studies.…”

Table 1_Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a systematic review an... by Rakesh Kumar Sahoo (12420508)

“…</p>Conclusion<p>These findings suggest that AI algorithms have the potential to function as reliable tools for the early diagnosis of OPMDs and oral cancer, offering significant advantages, particularly in resource-constrained settings.…”

Functional module diagram. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

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Functional enrichment analysis. by Junjie Su (368807)

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Algorithm testing. by Ziad M. Ali (12516532)

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Crop yield prediction accuracy using different ML algorithms. by Gourab Saha (8987405)

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Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Algorithm for constructing Boot-t CIs. by Qin Gong (118801)

Subjects: “…practical applications using…”

Algorithm framework. by Zongjin Li (38031)

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Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)