Search Results - (( java implication based algorithm ) OR ( learning programme through algorithm ))
Search alternatives:
- learning programme »
- implication based »
- programme through »
- through algorithm »
- java implication »
-
1
Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat
Published 2022“…This work investigates the suitability and effectiveness of machine learning algorithms such as Multinomial Naive Bayes, KNN, Logistic Regression, Decision Tree for predicting levels of arousal intensity among the programmers and LSTM deep learning algorithm to classify the programmers according to their performance. …”
Get full text
Get full text
Get full text
Thesis -
2
-
3
Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…Synthesia AI is a cutting-edge technology that revolutionizes students’ immersive learning experience. With its advanced machine learning algorithms, Synthesia AI can generate photorealistic video content featuring virtual actors and presenters that can be programmed to speak in multiple languages, accents, and even emotional tones. …”
Get full text
Get full text
Get full text
Article -
4
Enhancing understanding of programming concepts through physical games
Published 2017“…Similarly, (to that of the university scenario), we observed that, all children and teenagers gave full participation and learned computational thinking concepts effectively by executing the computational thinking through the physical games. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Contextualising Computational Thinking: A Case Study in Remote Rural Sarawak Borneo
Published 2020“…Findings illustrate a direction in which novice indigenous children could learn and be informed about Computational thinking practices and skills through a mix of game-based learning, collaborative learning, problem-based learning, and project-based learning. …”
Get full text
Get full text
Get full text
Get full text
Article -
6
A step towards the development of VHDL model for ANN based EMG signal classifier
Published 2012“…A feed-forward ANN with back-propagation learning algorithm is used for the classification of EMG signals. …”
Get full text
Get full text
Get full text
Proceeding Paper -
7
Using web questionnaire for web-based course evaluation: advantages and disadvantages
Published 2017“…It explores current features and issues associated with Web questionnaire through the implementation of a Web questionnaire for evaluating the effectiveness of computer courses at Iranian university E-learning centers. …”
Get full text
Get full text
Conference or Workshop Item -
8
Ensemble learning for multidimensional poverty classification
Published 2020“…The poverty rate in Malaysia is determined through financial or income indices and measurements. …”
Get full text
Get full text
Get full text
Article -
9
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
10
-
11
Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…As a result, although customers may receive an excellent interactive features programme, the backend algorithm is not optimized. …”
Get full text
Get full text
Get full text
Article -
12
Artificial Intelligence (AI) to predict dental student academic performance based on pre university results
Published 2021“…Successful graduation from the Bachelor of Dental Surgery programme is assessed through four Professional Exams. …”
Get full text
Get full text
Proceeding Paper -
13
-
14
-
15
Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…This scheme incorporates machine learning techniques by utilizing Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) classification algorithms to accurately identify and handle malicious network traffic following the initial packet filtration process that identifies abnormal traffic. …”
Get full text
Get full text
Get full text
Get full text
Thesis
