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

الموضوعات:

Results of comparison experiments with existing algorithms. حسب Teh Noranis Mohd Aris (22600931)

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

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. حسب Lalit Pandey (13195488)

"…<p>Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.</p>…"

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

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

Tasks, algorithms, and sample requirements in the comparison experiments. حسب Teh Noranis Mohd Aris (22600931)

Ablation experiment results of different algorithm models. حسب Peng Xiong (1459000)

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

"…,</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.PNG</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.xml</p><p dir="ltr">2020_02_27_RR_Hive_Directions_IMG_2540_VK.txt</p><p dir="ltr">Each PNG is annotated for the following categories:</p><p dir="ltr">(1) CappedHoneyCell </p><p dir="ltr">(2) CappedWorkerBroodCell</p><p dir="ltr"> (3) EmptyCombCell</p><p dir="ltr">(4) PollenCell</p><p dir="ltr"> (5) UncappedNectarCell</p><p dir="ltr"> (6) UncappedWorkerLarvaCell</p><p dir="ltr">(7) BeeHiveFrame</p><p dir="ltr">The counts on the number of annotated region of interest (ROI) images are as follows:</p><p dir="ltr">CappedHoneyCell: 19,723</p><p dir="ltr">CappedWorkerBroodCell: 21,456</p><p dir="ltr">EmptyCombCell: 20,655</p><p dir="ltr">PollenCell: 13,406</p><p dir="ltr">UncappedNectarCell: 11,009</p><p dir="ltr">UncappedWorkerLarvaCell: 18,283</p><p dir="ltr">BeeHiveFrame: 1001</p><p dir="ltr">Each such ROI can be extracted into a separate image and used in training machine learning algorithms.</p><p dir="ltr">The subdirectory SRC/ contains two Python scripts that can convert XML to TXT and TXT to XML: xml_to_txt_converter.py and txt_to_xml_converter.py.…"

Empirical experiment code حسب Zhangyu Wang (18475080)

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Comparison Experiment with deep learning methods. حسب Anqi Chen (1950547)

الموضوعات:

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

Source Code and Dataset حسب Swathi Ganesan (14394924)

Parameter configuration for deep reinforcement learning algorithm. حسب Sen Cao (6017846)

State and action space sizes of the robots in the experiment and the corresponding parameters of the algorithms used. حسب Teh Noranis Mohd Aris (22600931)

TIR-Learner v3: New generation TE annotation program for identifying TIRs حسب 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. …"

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... حسب Quang Dung Dinh (20995766)

Model comparison experiment. حسب Jiayue Zhang (7832669)

الموضوعات: "…crayfish optimization algorithm…"

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

الموضوعات: