Dr Ramesh Kumar Ayyasamy
Funding in UTAR
- a coherent knowledge-driven deep learning model for implicature opinion mining using social big data, UTARRF, August 2020 - July 2021.
- feature based detection of new and unknown malware to predict threat, UTARRF, August 2020 - July 2021.
- integrated sem-neural network approach to improve
cyber security behaviour through cyber hygiene among
employees of software development smes, UTARRF, August 2020 - July 2021.
- comparative studies to determine the different quality features (or aspects) for sentiment assignment and sentiment scoring in sentiment analysis utilizing deep learning method, UTARRF, December 2020 - December 2021.
- impact of industry 4.0?s digital technologies and information
systems on innovation performance of manufacturing firms ?
sem+ann approach, UTARRF, December 2021 - December 2022.
- an adaptive covid-19 sentiment analysis model by coupling textual lexicon and transfer learning, UTARRF, December 2022 - December 2023.
- an exploratory study to investigate the sustainability of diabetes self-management interventions based on motivational
theories, UTARRF, December 2022 - December 2023.
- a framework to enhance the usefulness of unstructured customer data for improved customer insights, UTARRF, December 2022 - December 2023.
- the study on the impact of entrepreneurial orientation on
project performance using machine learning, UTARRF, July 2023 - June 2024.
- developing a fine-tuned transformer model to detect social
media hate speech texts, UTARRF, November 2023 - October 2024.
- from waste to wealth: determining the readiness factors to
embrace blockchain technology in the palm oil industry to
facilitate circular economy transition, UTARRF, November 2023 - October 2024.
- digitalization of utar hospital towards smart hospital, UTAR HOSPITAL, May 2024 - April 2025.
- hand gesture recognition using emg signals with a smaller number of electrodes through machine learning, UTARRF, June 2024 - May 2025.
- decoding unconventional patterns: a machine learning
approach to unusual activity identification, UTARRF, June 2024 - May 2025.
- developing a multi-label sentiment analysis model for pandemic reviews using the bert-based fine-tuning approach, MOHE FRGS, August 2024 - July 2027.
Funding not in UTAR
- slowing the spread of diabetes: investigating health knowledge, beliefs, and lifestyle among sociocultural groups in malaysia., MOHE FRGS, December 2013 - November 2016.