Data and code resources. by 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. by Dinh K. Tang (20469082)

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

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

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

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Algorithm testing. by 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. …”

Algorithm testing environment settings. by Hua Song (113155)

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

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

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

Subjects:

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

Subjects:

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

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

Pseudo-code for the study design model. by 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 run time for each algorithm in seconds. by 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. …”