Detectors, sources, and channels. by Ural Akincioglu (21772538)

Example framework for selecting an appropriate management solution for multi-species/objective forestry management. by Max D. Jones (6269006)

Available habitat across a portion of the study landscape projected for each species type based on selected solutions. by Max D. Jones (6269006)

Selected Habplan solutions determined via the maximum mean yield/output from Habplan flow files across the projected 35 three-year study period. by Max D. Jones (6269006)

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

“…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

“…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

“…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”

FLASHQuant: A Fast Algorithm for Proteoform Quantification in Top-Down Proteomics by Jihyung Kim (7243529)

“…FLASHQuant is publicly available as platform-independent open-source software at https://openms.org/flashquant/, accompanied by the simple alignment algorithm ConsensusFeatureGroupDetector for multiple LC-MS runs.…”

Passive Sources and Diffracted Points Imaging Using Combinational Cross-correlation Imaging Condition by Tianfan Yan (18800674)

“…We combined the two imaging algorithms and proposed a combinational cross-correlation reverse time migration (CcRTM) to image multiple sources. …”

Convergence speed of the improved algorithm. by Qiuping Shen (2562166)

“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”

Schematic representation of selected data from the Allen Institute dataset. by Saeed Mohammadzadeh (13492285)

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

Power quality control algorithms for small scale power intergration systems by Advocate Mlamla (20170815)

“…A right shunt UPQC has been proposed as a combination of the two devices connected back-to-back through the DC link side for voltage and current multiple power quality issues. Optimisation of effective compensation for the CPDs depends on the proper selection of control algorithms for the gate switching of the Voltage Source Converters (VSCs) used. …”

Flow output resulting from specific management schedules for each flow component across 100 runs of Habplan. by Max D. Jones (6269006)

Structure diagram of the adaptive filter. by Qiuping Shen (2562166)

“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”

LMS suppression modal component diagram. by Qiuping Shen (2562166)

“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”

Space gravitational wave signal GW170817 diagram. by Qiuping Shen (2562166)

“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”

Space gravitational wave signal GW150914 diagram. by Qiuping Shen (2562166)

“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”

Space gravitational wave signal GW170104 diagram. by Qiuping Shen (2562166)

“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”