Publications

Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

Published in Tungsten, 2024

Recommended citation: Geethukrishnan, Apte, O. & Tadi, K.K. Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability. Tungsten 7, 137–151 (2025). https://doi.org/10.1007/s42864-024-00297-7 https://link.springer.com/article/10.1007/s42864-024-00297-7

Task scheduling algorithms in fog computing: A comparison and analysis

Published in IEEE Xplore, 2022

Recommended citation: T. Jagadish, O. Apte and K. Pradeep, "Task Scheduling Algorithms in Fog Computing: A Comparison and Analysis," 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2022, pp. 483-488, doi: 10.1109/ICACRS55517.2022.10029029. https://ieeexplore.ieee.org/abstract/document/10029029

Onkar Apte

Publications

Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

Task scheduling algorithms in fog computing: A comparison and analysis