Code snippet from “Netty/Buffer” Maven artefact. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Horizontal coding of milling parameters. by Nanqi Li (11640083)

Data Sheet 1_Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.pdf by Matteo Iurato (22155370)

“…<p>Telerehabilitation improves accessibility and accelerates recovery: in this context, Inertial Measurement Units (IMUs) are promising wearable sensors for remote movement data collection, which allows to evaluate how closely exercise repetitions align with a prescribed trajectory. …”

Model code by Waltraud Schulze (20695250)

“…The latter provides insights into the inherent texture complexity of the image data due to the lossless coding. For classification of leaf surfaces from tree species based on the computed features, we utilized the k-nearest neighbors (kNN) algorithm with k=3. …”

Data collection for developing the control model for the soft leg. by Hongjun Meng (5031806)

Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf by Cristina Mazzali (22090328)

“…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.…”

Code snippet from “Apache Dubbo” GitHub project. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

DataSheet1_Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait.docx by Yoshimasa Ohmoto (19862184)

“…Since machine learning is a powerful technique for learning predictive models from movement data, it can objectively evaluate the processes involved in OLST. …”

Validation results on the Tromsø Study accelerometer data subsample. by Marc Weitz (8131560)

Subjects:

The Economic Bomb Dataset FULL DOWNLOAD.zip by Nicolin Decker (20753117)

Subjects:

Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

“…At the beginning of the code, there is a help section that explains how to use it.…”

Visualization of algorithm detection results. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Parameters of stimuli used in the study. by Elnaz Nemati (21402730)

“…<div><p>This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. …”

The average confusion matrix from the FMG data. by Peyton R. Young (14021643)

“…A prominent control technique employs surface electromyography (EMG) and pattern recognition algorithms to identify specific patterns in muscle electrical activity and translate these to device commands. …”

The average confusion matrix from the EMG data. by Peyton R. Young (14021643)

“…A prominent control technique employs surface electromyography (EMG) and pattern recognition algorithms to identify specific patterns in muscle electrical activity and translate these to device commands. …”

Minimal test data set by Wenshun Sheng (21485393)

Data Sheet 1_Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams—A feasibility study.pdf by Tim Unger (20457145)

“…Advances in computer vision and human pose estimation allow for human movement analysis using consumer-grade cameras. This study investigates whether a single webcam, combined with human pose estimation and deep learning algorithms, can automatically detect compensatory movements in persons with stroke performing a drinking task. …”

Attributes classification based on MSD. by Tamer Abdel Latif Ali (21464041)

The average confusion matrix from the EMG+FMG data. by Peyton R. Young (14021643)