In a general category with finite products, morphisms of group objects that satisfy the existence of an identity element form a commutative diagram. by Jian-Gang Tang (21594349)

Facial Expression Image Dataset for Computer Vision Algorithms by Ali Alameer (12549592)

PoW vs PBFT based on resource utilization. by Shamsudeen Sajna (22600978)

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PoW vs PBFT based on consensus stability. by Shamsudeen Sajna (22600978)

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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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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. …”

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. …”

Heatmap of pre-post interview changes in system insights, health equity thinking, & healthy equity action. by Travis R. Moore (19532635)

<b>Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</b> by Yize Wang (19535173)

“…<p dir="ltr">The farm-level yaw control optimization algorithm Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</p>…”

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)

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

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Scatter plots showing the variations in impurity elements with TiO₂ and MgO contents. by Gabriel Prates Hallal (19555976)

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. …”

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. …”

In a general category with finite products, the morphisms of group objects that satisfy the existence of a left identity element form a commutative diagram. by Jian-Gang Tang (21594349)

In a general category with finite products, the morphisms of group objects that satisfy the existence of a right identity element form a commutative diagram. by Jian-Gang Tang (21594349)

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

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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). …”