Object-oriented online course recommendation systems based on deep neural networks

QR Code

Object-oriented online course recommendation systems based on deep neural networks

In the era of widespread online learning platforms, students commonly face the challenge of navigating an extensive array of available courses. Identifying relevant and fitting options aligned with students' educational objectives and interests is highly complex. The impact of system maintainab...

Full description

Bibliographic Details
Main Authors:	Husin, Nor Azura, Mohd Aris, Teh Noranis, Zolkepli, Maslina, Sharum, Mohd Yunus, Luo, Hao, Sina, Abdipoor
Format:	Article
Language:	English
Published:	Little Lion Scientific 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/117827/ http://psasir.upm.edu.my/id/eprint/117827/1/117827.pdf

Similar Items

Object-oriented online course recommendation systems based on deep neural networks
by: Luo, Hao, et al.
Published: (2024)

Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation
by: Zolkepli, Maslina, et al.
Published: (2020)

Multi-objective deep reinforcement learning for recommendation systems
by: Keat, Ee Yeo, et al.
Published: (2022)

ROME: a graph contrastive multi-view framework from hyperbolic angular space for MOOCs recommendation
by: Luo, Hao, et al.
Published: (2023)

Object-Oriented Programming semantics representation utilizing agents
by: Mohd Aris, Teh Noranis
Published: (2011)

Object-oriented programming semantics education based on intelligent agents
by: Mohd Aris, Teh Noranis, et al.
Published: (2011)

Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)

Multiobjective deep reinforcement learning for recommendation systems
by: Ee, Yeo Keat, et al.
Published: (2022)

Deep learning-based recommendation system: systematic review and classification
by: Li, Caiwen, et al.
Published: (2023)

Ensemble neural networks with input optimization for flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Deep reinforcement learning approaches for multi-objective problem in Recommender Systems
by: Ee, Yeo Keat
Published: (2022)

Meta-heuristic approaches for the university course timetabling problem
by: Abdipoor, Sina, et al.
Published: (2023)

Fuzzy AHP in a knowledge-based framework for early flood warning
by: Mohd Aris, Teh Noranis, et al.
Published: (2019)

Flock optimization induced deep learning for improved diabetes disease classification
by: Balasubramaniyan, Divager, et al.
Published: (2023)

Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
by: Balasubramaniyan, Divager, et al.
Published: (2024)

Integration of CNN and LSTM networks for behavior feature recognition: an analysis
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)

Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)
by: Sharvinteraan, C. Mogan
Published: (2023)

Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
by: Ismail, Asmida, et al.
Published: (2020)

A fuzzy inference model for diagnosis of diabetes and level of care
by: Mohd Aris, Teh Noranis, et al.
Published: (2023)

Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
by: Mohd Aris, Teh Noranis, et al.
Published: (2024)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

In-depth review on machine learning models for long-term flood forecasting
by: Khairudin, Nazli Mohd, et al.
Published: (2022)

Orientation and scale based weights initialization scheme for deep convolutional neural networks
by: Azizi Abdullah,, et al.
Published: (2020)

Dynamic force-directed graph with weighted nodes for scholar network visualization
by: Mohd. Aris, Khalid Al-Walid, et al.
Published: (2022)

Communicating recommendations in a service-oriented environment
by: Hussain, Omar, et al.
Published: (2007)

Object oriented programming
by: Shah, Asadullah, et al.
Published: (2011)

Product recommendation using deep learning in computer vision
by: Mogan, Sharvinteraan Carberry, et al.
Published: (2023)

ICT competence-based learning object recommendations for teachers
by: Sergis, S., et al.
Published: (2014)

Fuzzy logic model for flood warning expert system integrating multi-agent and ontology
by: Mohd Aris, Teh Noranis, et al.
Published: (2017)

Deep neural network-based fusion localization using smartphones
by: Yan, Suqing, et al.
Published: (2023)

Wavelet transform and neural network model for streamflow forecasting
by: Malekpour Heydari, Salimeh, et al.
Published: (2022)

Object-oriented design process model
by: Din, Jamilah, et al.
Published: (2009)

Concepts for slicing object-oriented programs
by: Yahaya, Nor Adnan, et al.
Published: (2001)

Color QR code recognition utilizing neural network and fuzzy logic techniques
by: Badawi, Bakri, et al.
Published: (2017)

Learning Object Recommendations for Teachers Based On Elicited ICT Competence Profiles
by: Sergis, S., et al.
Published: (2016)

Towards learning object recommendations based on teachers' ICT competence profiles
by: Sergis, S., et al.
Published: (2014)

Enhancing Learning Object Recommendations for Teachers Using Adaptive Neighbor Selection
by: Sergis, S., et al.
Published: (2015)

Development of learning object for engineering courses in UTeM
by: Ummi Raba'ah, H.
Published: (2009)

A review of Traffic State Prediction (TSP) methods in Intelligent Transportation Systems (ITS)
by: Ahanin, Fatemeh, et al.
Published: (2023)