DataSheet1_Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage.docx by Xiaotian Xia (402177)

Random Fixed Boundary Flows by Zhigang Yao (2254453)

“…In geometric terms, the fixed boundary flow is defined as an optimal curve that moves in the data cloud with two fixed end points. …”

Polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…<p dir="ltr">We have created a polyanion sodium cathode materials dataset that includes optimizations of structures to the lowest energy, ab initio molecular dynamics simulations trajectories sampled at 1000K, and structures generated from ML-driven molecular dynamics simulation at 1000K using active learning algorithms. …”

Presentation_1_Surveying a Floating Iceberg With the USV SEADRAGON.PDF by Mingxi Zhou (11130879)

“…The algorithm is developed based on point cloud matching strategies, policy-based optimization, and Kalman filtering. …”

Assessing the effectiveness of a melanopsin-based signal for colour constancy - ICVS Presentation 2019 by Daniel Garside (3367640)

“…Considering that a realistic performance would be sub-optimal (mapping points instead to a limited distribution surrounding an intrinsic colour), it becomes clear that a method for quantitatively assessing the performance of such an algorithm is required.…”

Image 5_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. …”

Image 3_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. …”

Image 2_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. …”

Image 4_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. …”

Table 1_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.docx by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. …”

Image 6_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg by Junqiang Li (491954)

“…</p>Results<p>After the appropriate segmentation points are determined, the refineR algorithm is applied to calculate RIs. …”

The Geography of Oxia Planum 03 CTX DEM Mosaic by Peter Fawdon (10016036)

“…The CTX mosaic data was rectified using the spline transformation. which optimizes for local accuracy but not global accuracy (Esri, 2020). …”

Development and validation of a route planning methodology for vehicle-based remote measurements of methane and other emissions from oil and gas wells and facilities by Mozhou Gao (13242994)

“…A major deployment challenge is predicting the best measurement locations and driving routes to sample infrastructure. Here, we present and validate a methodology that incorporates high-resolution weather forecast and geospatial data to predict measurement locations and optimize driving routes. …”

Presentation1_Adversarially Robust Learning via Entropic Regularization.pdf by Gauri Jagatap (11900264)

“…Our loss function considers the contribution of adversarial samples that are drawn from a specially designed distribution in the data space that assigns high probability to points with high loss and in the immediate neighborhood of training samples. …”

Autonomous Greenhouse Challenge, Second Edition (2019) by S. (Silke) Hemming (9171014)

“…The dataset contains data on outdoor and indoor greenhouse climate, irrigation, status of actuators, requested and realized climate setpoints, resource consumption, harvest, crop-related parameters, tomato quality, analysis of irrigation and drain samples and root-zone/slab information. …”

An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows by Pierre-Alexis DELAROCHE (22092572)

“…Performance Profiling Algorithms Energy Measurement Methodology # Pseudo-algorithmic representation of measurement protocol def capture_energy_metrics(workflow_type: WorkflowEnum, asset_vector: List[PhotoAsset]) -> EnergyProfile: baseline_power = sample_idle_power_draw(duration=30) with PowerMonitoringContext() as pmc: start_timestamp = rdtsc() # Read time-stamp counter if workflow_type == WorkflowEnum.LOCAL: result = execute_local_pipeline(asset_vector) elif workflow_type == WorkflowEnum.CLOUD: result = execute_cloud_pipeline(asset_vector) end_timestamp = rdtsc() energy_profile = EnergyProfile( duration=cycles_to_seconds(end_timestamp - start_timestamp), peak_power=pmc.get_peak_consumption(), average_power=pmc.get_mean_consumption(), total_energy=integrate_power_curve(pmc.get_power_trace()) ) return energy_profile Statistical Analysis Framework Our analytical pipeline employs advanced statistical methodologies including: Variance Decomposition: ANOVA with nested factors for hardware configuration effects Regression Analysis: Generalized Linear Models (GLM) with log-link functions for energy modeling Temporal Analysis: Fourier transform-based frequency domain analysis of power consumption patterns Cluster Analysis: K-means clustering with Euclidean distance metrics for workflow classification Data Validation and Quality Assurance Measurement Uncertainty Quantification All energy measurements incorporate systematic and random error propagation analysis: Instrument Precision: ±0.1W for CPU power, ±0.5W for GPU power Temporal Resolution: 1ms sampling with Nyquist frequency considerations Calibration Protocol: NIST-traceable power standards with periodic recalibration Environmental Controls: Temperature-compensated measurements in climate-controlled facility Outlier Detection Algorithms Statistical outliers are identified using the Interquartile Range (IQR) method with Tukey's fence criteria (Q₁ - 1.5×IQR, Q₃ + 1.5×IQR). …”

Image_1_Multimodal Integration of Brain Images for MRI-Based Diagnosis in Schizophrenia.pdf by Raymond Salvador (813880)

“…<p>Magnetic resonance imaging (MRI) has been proposed as a source of information for automatic prediction of individual diagnosis in schizophrenia. Optimal integration of data from different MRI modalities is an active area of research aimed at increasing diagnostic accuracy. …”

greenteg-core-axillary-1Hz by Stephen Karl Larroque (2809273)

“…The device captures core body temperature and skin temperature every second (1Hz sampling rate). It can store up to 3.5 days of data and takes 3h30 to 7h for data download, hence the gaps, which are placed during circadian daytime whenever possible. …”