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

Subjects:

Present an algorithm to prove P = NP by Sang-un Lee (22242148)

“…<p dir="ltr">Aiming to prove the P vs. NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”

Present an algorithm to prove P = NP by Sang-un Lee (22242910)

“…<p dir="ltr">Aiming to prove the P vs. NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”

Present an algorithm to prove P = NP by Sang-un Lee (22242055)

“…<p dir="ltr">Aiming to prove the P vs. NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”

Present an algorithm to prove P = NP by Sang-un Lee (22239061)

Cost of implementing different screening algorithm. by Tushar Garg (9283574)

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

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

Subjects:

Outcome of screening for different screening algorithm. by Tushar Garg (9283574)

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Cost-effectiveness plane for TB screening algorithms. by Tushar Garg (9283574)

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)

Incremental cost-effectiveness analysis for TB screening algorithms. by Tushar Garg (9283574)

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

Subjects:

Convergence curves for the applied algorithms. by Eslam Hamouda (5172083)

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>…”

Cost and cases diagnosed for each algorithm in different modelled scenarios. by Tushar Garg (9283574)

code_4 by Olga Ovtsarenko (20432033)

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…We used the common interface provided by Neuroptimus to conduct a detailed comparison of more than twenty different algorithms (and implementations) on six distinct benchmarks that represent typical scenarios in neuronal parameter search. …”