Utilization of Machine Learning Algorithms to Optimize the Photoluminescence Properties of Perovskite Thin Films Synthesized through Ionic Liquid-Based Techniques by Song Wei (1452700)

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Image 1_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…</p>Results<p>Upon comparing and assessing the predictive outcomes of 135 models utilizing a combination of 10 machine learning algorithms, we found that the KNN+RF combination algorithm performs the best in terms of prediction performance. …”

Image 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.tif by Xuehui Fan (10762662)

Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective. by Md. Maeen Molla (20827041)

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

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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<b>Study on urine diagnostic markers of diabetic nephropathy based on metabolomics and machine learning</b> by yuan sun (20399105)

Data and codes for the paper "Machine-Learning-Enabled Spatial Pattern Mining: Evaluating the Impact of Imperfect Inputs". by Zhili Li (18836803)

“…We develop soft-label versions of SPM algorithms that can directly execute on uncertain predictions generated by ML models. …”

Results obtained from Physics based machine learning models. by Akshansh Mishra (21001499)

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Machine Learning Models Based on Enlarged Chemical Spaces for Screening Carcinogenic Chemicals by Chao Wu (199897)

“…In the current study, an enlarged dataset containing 1697 compounds (940 carcinogens and 757 non-carcinogens) was curated and employed to construct screening models based on 12 types of molecular fingerprints, four ML algorithms, and two graph neural networks. …”

Pseudo-code for encrypting high-dimensional medical data attributes. by Yonggang Huang (223155)

Clustering with k-means algorithm. by Efehan Ulas (10987211)

Comparison of results of machine learning prediction models based on images. by Ningxin Chen (12965441)

Initial division diagram based on curvature. by Chenhua Jiang (20765737)

“…To address the issues of low processing quality and overall efficiency in the machining of aluminum alloy free-form surfaces, an efficient numerical control machining method based on surface segmentation has been proposed. …”

codes by Aytaç PEKMEZCİ (21548648)

The framework of Genetic algorithm for hyper-parameter optimization. by Balraj Preet Kaur (20370832)

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Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)