Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx by Rohit Pardasani (22253656)

“…The algorithm using deep learning and rule-based techniques was developed to identify segments of interest (accelerations, decelerations, and contractions). …”

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. by Miray Unlu Yazici (14792680)

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Developed energy optimization model with LSC based on OAWDO algorithm. by Hisham Alghamdi (20114096)

“…<p>Developed energy optimization model with LSC based on OAWDO algorithm.…”

Analysis process. by Jie Chu (293795)

“…</p><p>Conclusion</p><p>In this study, we developed a risk score based on eight mitochondrial autophagy-related genes and analyzed their expression across different cell types using single-cell analysis. …”

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Base learner parameters. by Jingru Dong (14076094)

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ECG lead-based algorithm diagram. by Pauline Guyot (8566470)

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

DataSheet1_Applying neural network algorithms to ascertain reported experiences of violence in routine mental healthcare records and distributions of reports by diagnosis.pdf by Ava J. C. Mason (19571008)

“…Introduction<p>Experiences of violence are important risk factors for worse outcome in people with mental health conditions; however, they are not routinely collected be mental health services, so their ascertainment depends on extraction from text fields with natural language processing (NLP) algorithms.</p>Methods<p>Applying previously developed neural network algorithms to routine mental healthcare records, we sought to describe the distribution of recorded violence victimisation by demographic and diagnostic characteristics. …”

S1 Data - by Jingru Dong (14076094)

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

Table1_Updating assembly parameters for spacecraft assembly process state changes: based on data fusion method.docx by Yue Liu (292931)

“…Therefore, to obtain assembly parameters accurately and efficiently under different assembly states, in this study, 3D point cloud data and fiber optic sensor data were fused to develop an assembly parameter update method for assembly process state changes. …”

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

Detailed information on software packages used for machine learning model development. by Jingru Dong (14076094)

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Working steps and operating algorithm of the developed GSMCS. by Abdallah Elshawadfy Elwakeel (19852263)

Schematic diagram of fusion model based on voting mechanism. by Jingru Dong (14076094)

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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. …”

Process flow diagram for the differential analysis of beta-valued DNA methylation data using a novel family of beta mixture models. by Koyel Majumdar (20416871)

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Decision model based on the NSO. by Hui Zhao (7395)

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High-Precision Landing on a Moving Platform Based on Drone Vision Using Yolo Algorithm by Satoshi Suzuki (20437556)

“…To overcome the challenge of the flight altitude is too high to detect the landing target, this paper fi rst detects large-volume targets, followed by the precise identifi cation of smaller targets, achieving enhanced recognition accuracy and speed through an improved YOLOv8 OBB algorithm. To maintain the UAV’s safety and stability throughout the landing process, This paper applies a position control approach using a reference model based sliding mode controller (RMSMC). …”