Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. by Reyhane Ahmadi (14857363)

The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components. by Reyhane Ahmadi (14857363)

Processing of Published Data and Construction of the Core UVmap Reference by David Adams (10283936)

“…<p dir="ltr">Processing of Published Data and Construction of the Core UVmap Reference In developing the core UVmap, we utilized the GBmap pipeline approach from Ruiz-Moreno et al.1 collecting data from 264,624 cells from 26 tumors and 29 normal tissues. …”

Fig 3 - by Baike She (20298296)

share data.rar by jiazheng ma (20551553)

DataSheet1_DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network.PDF by Minwoo Pak (6842618)

Table1_RETRACTED: Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios.XLSX by Houtianfu Wang (18145792)

IUTF Dataset(Enhanced): Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems by Xuhui Lin (19505503)

“…</p><p dir="ltr"><b>Quality Assurance</b>: Comprehensive technical validation demonstrates the dataset's integrity, sensitivity to rainfall impacts, and capability to reveal complex traffic-weather interaction patterns.</p><h2>Data Structure</h2><p dir="ltr">The dataset is organized into four primary components:</p><ol><li><b>Road Network Data</b>: Topological representations including spatial geometry, functional classification, and connectivity information</li><li><b>Traffic Sensor Data</b>: Sensor metadata, locations, and measurements at both 5-minute and hourly resolutions</li><li><b>Precipitation Data</b>: Hourly meteorological information with spatial grid cell metadata</li><li><b>Derived Analytical Matrices</b>: Pre-computed structures for advanced spatial-temporal modelling and network analyses</li></ol><h2>File Formats</h2><ul><li><b>Tabular Data</b>: Apache Parquet format for optimal compression and fast query performance</li><li><b>Numerical Matrices</b>: NumPy NPZ format for efficient scientific computing</li><li><b>Total Size</b>: Approximately 2 GB uncompressed</li></ul><h2>Applications</h2><p dir="ltr">The IUTF dataset enables diverse analytical applications including:</p><ul><li><b>Traffic Flow Prediction</b>: Developing weather-aware traffic forecasting models</li><li><b>Infrastructure Planning</b>: Identifying vulnerable network components and prioritizing investments</li><li><b>Resilience Assessment</b>: Quantifying system recovery curves, robustness metrics, and adaptive capacity</li><li><b>Climate Adaptation</b>: Supporting evidence-based transportation planning under changing precipitation patterns</li><li><b>Emergency Management</b>: Improving response strategies for weather-related traffic disruptions</li></ul><h2>Methodology</h2><p dir="ltr">The dataset creation involved three main stages:</p><ol><li><b>Data Collection</b>: Sourcing traffic data from UTD19, road networks from OpenStreetMap, and precipitation data from ERA5 reanalysis</li><li><b>Spatio-Temporal Harmonization</b>: Comprehensive integration using novel algorithms for spatial alignment and temporal synchronization</li><li><b>Quality Assurance</b>: Rigorous validation and technical verification across all cities and data components</li></ol><h2>Code Availability</h2><p dir="ltr">Processing code is available at: https://github.com/viviRG2024/IUTDF_processing</p>…”

Data Sheet 3_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

Data Sheet 2_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

Data Sheet 1_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

Data Sheet 4_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation" by Yingqi Li (9151304)

“…<p dir="ltr">The main focus of this thesis is to develop appropriate morphology modelling strategies for typical deformable structures by integrating physics-aligned prior knowledge and deep learning algorithms. …”