Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

List of the time used by each algorithm. حسب JiaMing Gong (20427837)

"…Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …"

Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

"…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"

Feature selection using the Boruta algorithm. حسب Guang Tu (22054865)

الموضوعات:

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. حسب Lulu Pan (8977979)

الموضوعات:

Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability حسب Okechukwu Paul-Chima Ugwu (21578037)

Machine learning prediction algorithm flow chart. حسب Ahmad M. Al-Omari (20460931)

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

LSTM algorithm for cyber attack prediction in IoMT. حسب Mohanad Faeq Ali (21354273)

Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf حسب Li Yang (6520)

"…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …"

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

"…<div><p>Data classification is an important research direction in machine learning. …"

Comparison of performance between the machine learning pipelines for tissue classification. حسب Ashutosh P. Raman (19825936)

الموضوعات:

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

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"

Table 1_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx حسب Saleha Noor (22697930)

"…</p>Conclusion<p>The findings suggest that the Random Forest algorithm using 46 features suits the data well and has the potential to be further developed as a decision support system for the concerned professionals and improve the usual way of screening anxiety and depression in children and adolescents.…"

Table 2_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx حسب Saleha Noor (22697930)

"…</p>Conclusion<p>The findings suggest that the Random Forest algorithm using 46 features suits the data well and has the potential to be further developed as a decision support system for the concerned professionals and improve the usual way of screening anxiety and depression in children and adolescents.…"