Analysis process. by Jie Chu (293795)

Data (3). by Qingnan Ji (22662198)

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Semiparametric Regression Analysis of Interval-Censored Multi-State Data with An Absorbing State by Yu Gu (162342)

“…In this article, we provide a general framework for analyzing such multi-state data. We formulate the effects of potentially time-dependent covariates on the multi-state disease process through semiparametric proportional intensity models with random effects. …”

Strong-noise pixel denoising process schematic. by Haiyan Zhang (176919)

“…To address these issues, we have developed the 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR(3D-NLE-BF). …”

Weak-noise pixel denoising process schematic. by Haiyan Zhang (176919)

“…To address these issues, we have developed the 3D bilateral filtering algorithm with noise level estimation assisted by multi-temporal SAR(3D-NLE-BF). …”

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Manually detected 11 speaker change points and framed signal of development database. by Sukhvinder Kaur (20297968)

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Configuration settings of the ten comparative algorithms. by Wenxing Wu (16853002)

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Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Flowchart diagram illustrating the data analysis process using machine learning models. by Isabela Bittencourt Basso (14178739)

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Relevant computed image data. by Zhaoyu Ku (20660546)

The comparison of sensor deployment among three algorithms. by Wenxing Wu (16853002)

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The optimized sensor coverage using the MODBO algorithm. by Wenxing Wu (16853002)

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The distribution strategies of populations within the DBO algorithm. by Wenxing Wu (16853002)

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The boundary selection strategy utilized in the DBO algorithm. by Wenxing Wu (16853002)

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Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Goal relevance. by Maeva El Bouchikhi (20442436)

“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …”