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

A bi-agent single-processor scheduling to minimize the sum of maximum lateness with release dates by Danyu Bai (3388310)

“…It is complemented by a heuristic algorithm based on Earliest Due Date List-Revising, providing an initial upper bound. …”

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

Source Code and Dataset by Swathi Ganesan (14394924)

Rerandomization Algorithms for Optimal Designs of Network A/B Tests by Qiong Zhang (172309)

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)

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

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

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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>…”

Phenotype frequencies for each mutant and for complementation testing. by McKenna Feltes (11242085)

code_4 by Olga Ovtsarenko (20432033)

The genetic algorithm. by Viktoria Zemliak (19500335)

USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I by Vladimir Kulyukin (21983990)

“…This dataset is the first such subset we curated in 2024-25 under USDA-NIFA Award 205732 "DSFAS - Exploration and Exploitation of the 2014-2022 USDA-ARS Tucson, AZ Digital Data Reservoir of Field Experiments with Managed Honey Bee Colonies."</p><p dir="ltr">The zipped directory ANNOTATED_HIVE_FRAMES includes 13 image subdirectories with annotated images.…”

Phenotype frequency and complementation for additional novel DY alleles. by McKenna Feltes (11242085)

Characteristics of the databases used in the experiments. by Loan T. T. Nguyen (20660789)

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Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)