The steps of applying RF algorithm. by Zuzhen Ji (17593348)

Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

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><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.…”

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Training algorithm flow. by Xing Chen (140292)

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Machine learning hyperparameters used for this study. by Shaik Ahamed Fayaz (19859670)

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Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty by Jenniffer Sobeida Moreira Choez (16933539)

“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”

Data Sheet 2_Active learning with human heuristics: an algorithm robust to labeling bias.pdf by Sriram Ravichandran (14456604)

“…<p>Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. …”

Data used in "Material Classification System using Inductive Tactile Sensors and Machine Learning Algorithms" by Yuning Jiang (19758561)

Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. by Mahmoudreza Moein (22127153)

“…<p>Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm.…”

Data Sheet 1_Active learning with human heuristics: an algorithm robust to labeling bias.zip by Sriram Ravichandran (14456604)

“…<p>Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. …”

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. by Rui-Si Hu (5337227)

Decision tree algorithms. by Mahbub E. Sobhani (22278967)

“…Ensemble learning in supervised machine learning is also a common technique for handling imbalanced data. …”

Conceptual diagram of the proposed system leveraging deep learning and federated learning. by Shuvo Biswas (21728782)

Feature importance comparison between the machine learning algorithms used in this study. by Sukanta Chakraborty (22693681)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …”