The power magnitude of lines in scenario 1. by Dai Wan (20108122)

The power magnitude of lines in scenario 2. by Dai Wan (20108122)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

PSO algorithms flowchart. by Mohammed F. Elnaggar (18297954)

Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach by Mengyi Zhang (7454231)

“…This work proposes a new Mixed-Integer Linear Programming (MILP) formulation for exact solution of sample-based BAP. …”

Swarm intelligence algorithms for multi-objective IMP by Francisco Muñoz (9455441)

Calibration plots for all models on the Derivation cohort. by Agni Orfanoudaki (8878097)

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Decoding results. by Sam Hall-McMaster (10343795)

Recovery qualities of individual groups under increasing intra-group heterogeneity and inter-group promiscuity of species. by Yuanchen Zhao (12905580)

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. by Yuanchen Zhao (12905580)

A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

Human expert versus automated processing: Running dataset. by Keenon Werling (17512156)

Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping by P. Vangeenderhuysen (15854812)

“…The latter was benchmarked toward vendor-specific targeted and untargeted software and our isotopologue parameter optimization/XCMS-based untargeted pipeline in LifeLines Deep cohort samples (<i>n</i> = 97). …”

Results for the Pattern Generation task. by Paolo Muratore (8331585)

ECE6327_SmartGrid by Xingpeng Li (11825663)

Comparison of differences in TCSE and VLS. by Shun Li (330132)

“…<div><p>In response to the limited tuning ability of traditional linear cavity single frequency fiber lasers caused by fixed cavity length and static feedback mechanism, a resonant cavity design for linear cavity single frequency fiber lasers based on temperature controlled fiber gratings is proposed. …”

Physical model architecture of resonant cavity. by Shun Li (330132)

“…<div><p>In response to the limited tuning ability of traditional linear cavity single frequency fiber lasers caused by fixed cavity length and static feedback mechanism, a resonant cavity design for linear cavity single frequency fiber lasers based on temperature controlled fiber gratings is proposed. …”

Comparison of differences in ELL and MTR. by Shun Li (330132)

“…<div><p>In response to the limited tuning ability of traditional linear cavity single frequency fiber lasers caused by fixed cavity length and static feedback mechanism, a resonant cavity design for linear cavity single frequency fiber lasers based on temperature controlled fiber gratings is proposed. …”