Data and code resources. حسب Sam Hall-McMaster (10343795)

"…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …"

Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. حسب Dinh K. Tang (20469082)

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

Algorithm testing. حسب Ziad M. Ali (12516532)

"…The accuracy of the proposed equivalent circuits is demonstrated on two solar cells/modules, RTC-F and MSX-60, showing equal or better performance than the standard PV_DDM equivalent circuit. Further testing on a commercial solar panel under different irradiance and temperature conditions confirms the applicability of the proposed models. …"

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Algorithm testing environment settings. حسب Hua Song (113155)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

The method for determining the chemical constituents of unknown materials in the algorithm. حسب Dong Hyeok Choi (12562048)

The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The speciation of NANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

Simulation test results of three curve reconstruction algorithms. حسب Hua Song (113155)

The construction process of the CGO prediction model. حسب Wenbing Shi (5806160)

الموضوعات:

Pseudo-code for the study design model. حسب Jianpeng Zhang (528185)

"…The results showed that the proposed model only took about 8 seconds to complete training and testing, while all other models required about 10 seconds. …"

The structure of the NANEAT model corresponds to the optimal species genome. حسب Wenbing Shi (5806160)

الموضوعات:

The structure of the ANEAT model corresponds to the optimal species genome. حسب Wenbing Shi (5806160)

الموضوعات:

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"