Chandrasegar Thirumalai
IEEE Access · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Who trusts Chandrasegar Thirumalai overall
Papers from Chandrasegar Thirumalai's perspective
Ordered by how strongly the researchers Chandrasegar Thirumalai trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (IEEE Network)
- Association rule mining to detect factors which contribute to heart disease in males and females (Expert systems with applications)
- Effective diagnosis of heart disease through neural networks ensembles (Expert systems with applications)
- ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis (ACM Symposium on Applied Computing)
- Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules (Journal of King Saud University: Computer and Information Sciences)
- Prediction of Heart Disease Using Machine Learning (2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA))
- An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction (Expert systems with applications)
- Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques (Journal of computing in civil engineering)
- Establishing a relationship between modulus of elasticity and compressive strength of recycled aggregate concrete
- Influence of fly ash as a cement addition on the hardened properties of recycled aggregate concrete
Their papers
- Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques (2019) — 1,389 citations
- Analysing the concrete compressive strength using Pearson and Spearman (2017) — 81 citations