Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of conce... by Enock Niyonkuru (21246879)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

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Data&Codes.zip by Zer0 Star (20545655)

“…</p><p dir="ltr">To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. …”

Configurations used in ALAAMs for undirected networks. by Alex Stivala (8356257)

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Type II error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Comparison of MPNet and ALAAMEE software for ALAAM estimation. by Alex Stivala (8356257)

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Configurations used in ALAAMs for directed networks. by Alex Stivala (8356257)

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Type I error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Example ALAAMEE output. by Alex Stivala (8356257)

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Type II error rate as the number of runs used for each sample is varied. by Alex Stivala (8356257)

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Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

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Network descriptive statistics for the Deezer networks. by Alex Stivala (8356257)

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Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

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ZILLNB_Model by Qinhuan Luo (21288548)

“…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…”

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

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DeepB3Pred - code by Saleh Musleh (22263718)

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). …”