Analysis of single features of vehicle movement. by Yaqin He (4627711)

SHAP values for features of automatic vehicle accident. by Yaqin He (4627711)

Analysis of single features under environmental attributes. by Yaqin He (4627711)

Analysis of single features under road attributes. by Yaqin He (4627711)

Structural diagram of the overall SCF-YOLO algorithm. by Yazhou Li (277980)

Data Sheet 1_Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.csv by Hongjun Tao (21448853)

“…</p>Objective<p>This study aims to identify highly sensitive predictive indicators for forward head posture in primary school children using the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm. Multiple machine learning algorithms are applied to construct distinct risk prediction models, with the most effective model selected through comparative analysis. …”

Ultrasound hyperechoic area measurement. by Yan Xiong (197517)

“…The accuracy of the algorithm was assessed by measuring the area of the hyperechoic area in the porcine liver tissue cross-section and ultrasound grayscale images.…”

Experimental setup photo. by Yan Xiong (197517)

“…The accuracy of the algorithm was assessed by measuring the area of the hyperechoic area in the porcine liver tissue cross-section and ultrasound grayscale images.…”

Data Sheet 1_An individualized risk prediction tool for ectopic pregnancy within the first 10 weeks of gestation based on machine learning algorithms.docx by Xin Du (208780)

“…</p>Conclusion<p>This study employed the CatBoost algorithm to develop an individualized risk prediction model by integrating multiple features from the initial visit. …”

Front-facing camera data from Minicam's pipe navigation robot in plastic pipes by Aristeidis Karnezis (18964129)

“…<p dir="ltr"><b>This directory contains data captured by the front-facing camera of a Minicam robot navigating in</b><b> multiple plastic pipe networks. The first network includes two 3-meter plastic pipe sections, the second network includes four 3-meter plastic pipe sections, and the third network includes six 3-meter plastic pipes and one 2-meter plastic pipe section. …”

Modified laser scanned point cloud dataset of a modern wind turbine support tower by Lijithan Kathirkamanathan (19813146)

“…The WTST in question was fabricated by circumferentially welding cylindrical/ conical cans together to create sections which were then bolted together at the flanges to form the WTST. …”

Data Sheet 1_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 2_Calculating 3D rugosity maps for complex habitat scans.zip by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 6_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 4_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Video 1_Calculating 3D rugosity maps for complex habitat scans.mp4 by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 5_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Data Sheet 3_Calculating 3D rugosity maps for complex habitat scans.pdf by Kindrat Beregovyi (20762342)

“…However, many existing methods for calculating structural complexity of these models use 2.5D techniques that fail to capture the details of truly 3D models with overlapping features. This paper presents novel algorithms that extend traditional rugosity metrics to generate multi-scale rugosity maps for complex 3D models. …”

Table 1_Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment.docx by Yuriko Nakaoku (17874681)

“…This study aimed to develop and test new identification models for MCI in community settings based on multiple sources of clinical features, including neuroimaging biomarkers.…”

Table 1_Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.docx by Ali Nabavi (21097424)

“…Multiple machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, Logistic Regression, CatBoost, and MLP, were optimized and evaluated. …”