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

“…These findings point to a possible neural implementation of an adaptive algorithm for generalization across tasks.…”

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

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

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

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Source Code and Dataset by Swathi Ganesan (14394924)

Algorithm training accuracy experiments. by Yingying Liu (360782)

TIR-Learner v3: New generation TE annotation program for identifying TIRs by Tianyu Lu (18856792)

“…The old TIR suffers from slow execution on large genomes due to intense I/O operations and less efficient algorithms, it also lacks maintainability due to legacy dependency issues. …”

The parameter setting of the evolutionary neural network. 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>…”

code_4 by Olga Ovtsarenko (20432033)

The schedule of enrolment, interventions, and assessments. by Marialuisa Gandolfi (8639238)

Subjects:

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

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)

“…<p dir="ltr">In 2014–2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State University, and several commercial operations, acquired a large reservoir of multi-sensor data, including thousands of frame photographs and sensor measurements, from field experiments with managed honey bee colonies. …”

A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Guangxu Chen (14614429)

Subjects:

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