KR
Kalil Rahiman M
Saveetha School of Engineering, Bannari Amman Institute of Technology, Government College of Engineering, Salem, National Institute of Technology Tiruchirappalli
Employment
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Bannari Amman Institute of Technology Associate Professor & Head2008 - 2021
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Saveetha School of Engineering Professor
Education
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Government College of Engineering, Salem Bachelor of Engineering
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National Institute of Technology Tiruchirappalli Master of Technology
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- An Efficient Method to Predict the Fertilizer Utilization Using Auto Regressive Integrated Moving Average Algorithm Compared With Convolutional Neural Networks Algorithm Save
- A Comparison of the Novel Fruit Ripening Prediction Performance of Enhanced Recurrent Neural Networks and Polynomial Regression Save
- Zinc manganese oxide spinel phase nanomaterial layered on solar stills applications: An analytical study for improved performance compared with machine learning methods Save
- Studies on the Hardness and Chemical Properties of Nanofibers With and Without Polymer Composite Materials Save
- Equilibrium and Isotherm Studies on Chromium Removal from Industrial Wastewater Using Activated Carbon with Acacia Arabica Save
- An smart irrigation system based on IoT to enhance the accuracy using novel K-nearest neighbor compared with random forest algorithm to increase accuracy rates on agricultural fields Save
- Synergistic valorization of wheat husk-derived HZSM-5 catalyst in pyrolysis of polystyrene and polypropylene: sustainable waste-to-energy conversion enhanced by machine learning models Save
- A comparative study of pre-treated Jatropha oil blended with ethanol and diesel for refractive index by Novel Lorentz-Lorentz mixing method Save
- A comparison of CNN and SVM algorithms for the prediction of growth defects in coffee plants for stable yield and fungal diseases Save
- A comparison of novel pretreated sunflower oil mixed with butanol and diesel for viscosity by using gladstone-dale mixing methodology Save