Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process by Ruilin Yang (151028)

“…Here we report an ultrafast (0.4 s) hydrogen detection system based on a wafer-scale fabrication process. It consists of a low power (20.2 mW) hydrogen sensor based on vertical thermal conduction structure and a signal processing circuit introduced with a neural network prediction algorithm based on sensor response process. …”

DataSheet1_Development of a COVID-19 early risk assessment system based on multiple machine learning algorithms and routine blood tests: a real-world study.docx by Qiangqiang Qin (12533191)

“…</p>Methods<p>In this retrospective study, we divided a portion of the data into training and validation cohorts in a 7:3 ratio and established a model based on a combination of two ML algorithms first. …”

IOU values of four algorithms. by Hong Li (20183)

Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf by Li Yang (6520)

“…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …”

Data Sheet 1_Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.docx by Zhiwei Cui (10682154)

“…Objective<p>This study aimed to enhance the accuracy of prognosis assessment for reduction mammaplasty by improving a swarm intelligence optimization algorithm and to develop an intelligent prediction system to support clinical decision-making.…”

Data Sheet 2_Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.docx by Zhiwei Cui (10682154)

“…Objective<p>This study aimed to enhance the accuracy of prognosis assessment for reduction mammaplasty by improving a swarm intelligence optimization algorithm and to develop an intelligent prediction system to support clinical decision-making.…”

Study area and conceptual diagram of algorithm implementation in one community health worker catchment. by Mauricianot Randriamihaja (9091488)

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Training and Testing Set for HRDsig Algorithm Development. by Wenshu Li (762627)

Data Sheet 2_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Data Sheet 3_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Data Sheet 1_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Data Sheet 4_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

“…To preform accurate forecasts on energy storage, a data-driven machine learning approach based on artificial neural networks (ANN) was optimized via a Bayesian optimization algorithm to predict the structural battery’s future capacity. …”

EITO_P with flexible trip time. by Yunhu Huang (21402795)

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Energy consumption in the PPO process. by Yunhu Huang (21402795)

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Speed limits. by Yunhu Huang (21402795)

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Running time in the PPO process. by Yunhu Huang (21402795)

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Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

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EITO_E speed distance profile. by Yunhu Huang (21402795)

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Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

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