Code used for data analysis in this study. by Nourin Sultana (22339463)

The comparison of LSTM performance based EO vs. PSO optimizers. by Rizk M. Rizk-Allah (18625751)

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Related works for solar power prediction based on AI tools. by Rizk M. Rizk-Allah (18625751)

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Reusable Noncomplementary DNA-Based Neural Network by Chengjie Sun (1449106)

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M3C2 algorithm diagram. by Xiaowei Li (620087)

“…The results indicate that: (1)Following the implementation of a correction algorithm that integrated GPS monitoring data with the LiDAR monitoring results, a substantial enhancement in the accuracy of the measurement results was observed. …”

Comparison of the calculation time among the original GabRat implementation (rewritten in C++), the improved algorithm of our GabRat, and the GabRat-R which computes the improved G... by Masahiko Tanahashi (313683)

Run times of two algorithms. by Gourab Saha (8987405)

“…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”

Reputation scores suitable for different healthcare settings based on analysis. by Shamsudeen Sajna (22600978)

Subjects: “…efficient blockchain implementations…”

Q-value of comparison of algorithms with WOA. by Fizza Shafique (19996292)

“…The Integral Square Error (ISE) criteria is used to determine the efficiency of the algorithms-based controller. In the latter part of this article after implementing these mentioned techniques a comparative analysis of their results is presented through statistical tests using SPSS (Statistical Package for Social Sciences) software. …”

p-values of comparison of algorithms with WOA. by Fizza Shafique (19996292)

“…The Integral Square Error (ISE) criteria is used to determine the efficiency of the algorithms-based controller. In the latter part of this article after implementing these mentioned techniques a comparative analysis of their results is presented through statistical tests using SPSS (Statistical Package for Social Sciences) software. …”

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)

Experiment results of solar power generation forecasting using LSTM based on PSO. by Rizk M. Rizk-Allah (18625751)

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Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance by Edgar Vega (21981590)

Code by Baoqiang Chen (21099509)

“…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf by Sven Schneider (1366548)

“…<p>This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific computational building blocks that prevent code duplication and enable robots to adapt their software themselves. …”

Decision-making algorithm for implementing a clinical pharmacy service in oncology. Algoritmo de tomada de decisão para implantação de um serviço de farmácia clínica em oncologia.... by Giuliano Cesar Silveira (21078053)

“…<b>Objective: </b>To describe the architecture of a decision-making algorithm for implementing a clinical pharmacy service in oncology. …”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

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Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

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Decoding results. by Sam Hall-McMaster (10343795)

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