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Journal Publication:
- Sushma Kamlu and V. Laxmi, “Implementation of Fuzzy Model for Maintenance Scheduling of Vehicles Based on Monte Carlo Simulation and Geographical Information System” IETE Journal of Jesearch , 2017, 63.2: 225-237.
- Sushma Kamlu and V. Laxmi, "Condition-based maintenance strategy for vehicles using hidden Markov models" Advances in Mechanical Engineering, 2019, 11.1: 1687814018806380.
- Sushma Kamlu and V. Laxmi, "GIS-based design and analysis of preventive health management system for vehicles using ANFIS" International Journal of Computational Complexity and Intelligent Algorithms, 2019, 1.2: 196-213.
- Priya, Parul and Sushma S. Kamlu, “Unmanned Aerial System Trajectory Tracking based on Diversified Grey Wolf Optimization Algorithm”, IEEE Access, 2023, DOI: 10.1109/ACCESS.2023.3346681.
- Sushma Kamlu and V. Laxmi, Recital Appraisal Based on Fuzzy Reliability for Maintenance Scheduling of Transportation System, Int. J. of Reliability and Safety
- Monika Rani, Sushma S. Kamlu, “Optimal LQG Controller Design for Inverted Pendulum Systems Using a Comprehensive Approach”, Scientific Reports, (Accepted)
Book Chapter:
- Soham Dey, Sushma Kamlu, Sudhansu Kumar Mishra, “Optimization of Fuel Consumption and Emission for Hybrid Electric Vehicle”. Advances in Intelligent Syst Computing, Vol.394, 2016.
- Priya, Parul, Sushma S. Kamlu,, “Robust control algorithm for drones. In: Aeronautics”-New Advances. IntechOpen, 2022.
- Priya, Parul, Sushma S. Kamlu, “5G-Assisted UDV Networks Based on Energy-Efficient Optimal Route Scheduling for Smart City. In: Smart Cities”. CRC Press, 2023. p. 256-276.
Conference publication:
- Priya, Parul, Sushma S. Kamlu,, “ Improved GA-PI technique for non-linear dynamic modeling of a UAV”. In: 2022 International Conference on Connected Systems & Intelligence (CSI). IEEE, 2022. p. 1-6.
- Sushma S. Kamlu, Monika Rani ,"Process Stabilization based on LQR Optimal Controller and Pole Placement”. 6th International Conference for Convergence in Techno logy (I2CT) pp1-6, IEEE 2021.
- Sushma Kamlu and V. Laxmi, “Effective method for maintenance scheduling of vehicles using fast supervised learning”, proceeding of ICE2CSM2E, 23rd January 2017, Darjeeling, India ISBN 978-93-85832-29-1.
- Sushma Kamlu, V. Laxmi, “An Effective Method for Maintenance Scheduling of Vehicles Using Neural Network”, MCCS112, International Conference on Microelectronics Computing & Communication Systems, 14-15th Nov-2015 Ranchi.
- Tete Trimi Neha, Sushma Kamlu, “Plant disease detection using different algorithms” In: Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering. 2017. p. 103-106
- Tete Trimi Neha, Sushma Kamlu, “Detection of plant disease using threshold, k-mean cluster and ann algorithm” In: 2017 2nd International Conference for Convergence in Technology (I2CT). IEEE, 2017. p. 523-526.
- Abhinav Kumar, Sushma Kamlu “Path tracking method of ALV model based on ADRC Strategy and Differential flatness theory” NCCS16039, 25-26 Dec 2016.
- Kumar Abhinav, Sushma Kamlu, “Path Tracking Method of ALV Model Based on ADRC Strategy and Differential Flatness Theory”. In: Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Springer Singapore, 2019. p. 643-657.
- Sushma Kamlu, V. Laxmi, “An Effective Method for Maintenance Scheduling of Vehicles Using Neural Network”, MCCS112, International Conference on Microelectronics Computing & Communication Systems, 14-15th Nov-2015 Ranchi.
- Sushma Kamlu, Simpy Sanyal, V. Laxmi, “Enhancement of Fuel Efficiency of Vehicle by Implementing Genetic Algorithm” Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Conference, 1-2 March, 2014, Bhopal, India, IEEE
- Chandan Kumar, Sushma Kamlu & Sudhansu kumar Mishra, “d- SPACE Based Space –Vector PWM for a Two- Level VSI” , DOI No: 10.1214/ITSI-TEEE/58
Additional Journal
- Amlan Gain, Sushma Kamlu, G. Shivanesh, “Optimizing PI Controller for SEPIC Converter with Optimization Algorithm”, IJITCS https://doi.org/10.5815/ijitcs.2023.02.02
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