Search Results - (( based educational means algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- based educational »
- educational means »
- implication based »
- java implication »
- means algorithm »
-
1
-
2
-
3
The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…They are obviously lower than those of other algorithms. ST-GCN action detection algorithm based on deep learning and artificial intelligence technology can significantly improve the accuracy of action recognition in junior middle school students’ sports activities, and provide an immediate and accurate feedback mechanism for physical education teaching. …”
Get full text
Get full text
Get full text
Article -
4
A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.…”
Get full text
Get full text
Final Year Project Report / IMRAD -
5
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
6
A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…The results of the LSA algorithm combined with the OpenAI algorithm are compared with the results of expert assessments. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Harmony Search algorithm-based gasoline consumption modeling for Indonesia
Published 2012Get full text
Working Paper -
8
Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences
Published 2019“…The result shows that there is no significant effect of the learning material in increasing the participants’ algorithm skill. However, the mean for post-test score is slightly higher than the mean for pre-test score. …”
Get full text
Get full text
Get full text
Thesis -
9
Comparison between fuzzy time series and artificial neural network on modeling school enrolment / Siti Rohani Shamsudin
Published 2021“…This study also aims to identify the best mathematical model between Fuzzy Time Series and ANN for each education stage by looking at the lowest mean squared error (MSE), Mean Absolute Percent Error (MAPE) and Mean Absolute Deviation (MAD) value of each model. …”
Get full text
Get full text
Student Project -
10
Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…User evaluation on the prototype was also performed yielding in the average subjective satisfaction of 87.9% and a mean score of 6.157, based on semantic differential scales of 1 to 7. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
An adaptive HMM based approach for improving e-Learning methods
Published 2023“…The model proposed in this research is based on clustering of students using K-means algorithm and the course of content delivery is adaptively characterized for each student using Hidden Markov Models. …”
Conference Paper -
12
-
13
-
14
-
15
Learning analytic framework for students’ academic performance and critical learning pathways
Published 2024“…The resulting reduced dataset is then subjected to various clustering algorithms, including partition-based clustering (K-means), hierarchical clustering, and density-based clustering (DBSCAN). …”
Get full text
Get full text
Get full text
Article -
16
Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case
Published 2024“…The results, as shown in Table III, indicate that the Random Forest Regression model outperforms the Decision Tree model, achieving lower Mean Squared Error (9.6212), Root Mean Squared Error (3.0842), and Mean Absolute Error (2.4060). …”
Get full text
Get full text
Get full text
Book Chapter -
17
Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment
Published 2025“…For slider CAPTCHA detection, mean Relative Offset (mRO) has been proposed as a specific metric for slider CAPTCHA recognition, and Offset-based Intersection over Union (OIoU) loss is developed to improve the loss function, effectively reducing the mRO to below 1% on the Geetest dataset. …”
Get full text
Get full text
Thesis -
18
-
19
An application of predicting student performance using kernel k-means and smooth support vector machine
Published 2012“…In this study, psychometric factors used as predictor variables, thereare Interest, Study Behavior, Engaged Time, Believe, and Family Support.The rulemodel developed using Kernel K-means Clustering and Smooth Support Vector MachineClassification.Both of these techniquesbased on kernel methodsand relativelynew algorithms of data mining techniques, recently received increasingly popularity in machine learning community. …”
Get full text
Get full text
Thesis -
20