Performance of machine learning algorithms. by Wenxue Liu (6877754)

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)

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

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

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

Flowchart of the study. by Usman Haider (12630481)

Subjects:

Channel capacity of MIMO system with variable . by Usman Haider (12630481)

Subjects:

Results of using the algorithm to find the chemical constituents for compounds using dual energy and mass attenuation coefficient. by Dong Hyeok Choi (12562048)

Results of using the algorithm to find the chemical constituents for mixtures using dual energy and mass attenuation coefficient. by Dong Hyeok Choi (12562048)

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

Confusion matrices depict the performance of various ML algorithms. by Caroline L. Alves (14271413)

“…The diagonal elements represent TP values, showcasing each algorithm’s accuracy in correctly identifying positive instances. …”

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

Subjects:

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”

Example gauge chart outputs produced by the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

“…The corresponding images for each gauge chart are shown alongside. <b>(a)</b> This figure is considered moderately effective by the algorithm. …”

code_4 by Olga Ovtsarenko (20432033)

The genetic algorithm. by Viktoria Zemliak (19500335)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

“…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i>₁ is the technological Complexity sum of all the technology done by <i>e</i>₁. …”