Manoj Jayabalan

Orcid: 0000-0002-1599-965X

Affiliations:
  • Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia


According to our database1, Manoj Jayabalan authored at least 29 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Point-based Gesture Recognition Techniques.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Gesture Recognition Techniques.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Early Prediction of COVID-19 Infection with IoT and Machine Learning.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

A Study on Data-Driven Energy Forecasting: a Machine Learning Perspective.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Predicting Themes of Tweets on Earthquakes in Turkey & Syria for Real-Time Classification.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Identify Type of Lung Infection from Lung Patients X-RAY Image LIVERAGING Computer Vision.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

COVID QA Network: A Specific Case of Biomedical Question Answering.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023

Real-Time Masked Face Recognition in the Wild with few shots.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Tomato Plant Leaf Disease Classification Using Deep Learning.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Gas Turbine - CO & NOx Emission Data Analysis With Predictive Modelling Using ML/AI Approaches.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023

Multimodal Emotion Recognition Using Attention-Based Model with Language, Audio, and Video Modalities.
Proceedings of the Data Science and Emerging Technologies, 2023

Application of Deep Learning Algorithms to Terahertz Images for Detection of Concealed Objects.
Proceedings of the Data Science and Emerging Technologies, 2023

Comparative Analysis of Emotion Recognition Using Large Language Models and Conventional Machine Learning.
Proceedings of the Data Science and Emerging Technologies, 2023

A Comparative Study of Methods for Topic Modelling in News Articles.
Proceedings of the Data Science and Emerging Technologies, 2023

Efficient Time Series of Smoothing and Auto-regressive Forecasting Models for Predicting Police Officer Fatalities in the USA.
Proceedings of the Data Science and Emerging Technologies, 2023

Evaluation of Machine Learning Algorithms for Early Prediction of Liver Disease.
Proceedings of the Data Science and Emerging Technologies, 2023

2022
Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches.
Proceedings of the Data Science and Emerging Technologies, 2022

Loan Default Forecasting Using StackNet.
Proceedings of the Data Science and Emerging Technologies, 2022

Insurance Risk Prediction Using Machine Learning.
Proceedings of the Data Science and Emerging Technologies, 2022

Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics.
Proceedings of the Data Science and Emerging Technologies, 2022

Evaluation of Extractive and Abstract Methods in Text Summarization.
Proceedings of the Data Science and Emerging Technologies, 2022

Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques.
Proceedings of the Data Science and Emerging Technologies, 2022

Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention.
Proceedings of the Data Science and Emerging Technologies, 2022

2021
Diagnosis of Breast Cancer on Imbalanced Dataset Using Various Sampling Techniques and Machine Learning Models.
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021

2020
Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Towards an Approach of Risk Analysis in Access Control.
Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020

Need for Interpretable Student Performance Prediction.
Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020

2017
A design of patients data transparency in electronic health records.
Proceedings of the IEEE International Symposium on Consumer Electronics, 2017

2016
Access control and privilege management in electronic health record: a systematic literature review.
J. Medical Syst., 2016


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