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ORCIDSudhansu Kumar Mishra
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2020 – today
- 2024
[j20]Rohit Kumar
, Sudhansu Kumar Mishra:
Operational reliability evaluation integrating prediction models for enhanced situational awareness in wind-integrated system. Comput. Electr. Eng. 118: 109454 (2024)- [j19]Abhishek Thakur, Sudhansu Kumar Mishra:
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles. Eng. Appl. Artif. Intell. 133: 108550 (2024) - [j18]Pandit Vivek Kumar Pandey, Sitanshu Sekhar Sahu, Biswajit Karan, Sudhansu Kumar Mishra:
Parkinson Disease Prediction Using CNN-LSTM Model from Voice Signal. SN Comput. Sci. 5(4): 381 (2024) - [j17]Abhishek Thakur, Ankit Kumar, Sudhansu Kumar Mishra, Subhendu Kumar Behera, Jagannath Sethi, Sitanshu Sekhar Sahu, Subrat Kumar Swain:
Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting. SN Comput. Sci. 5(6): 659 (2024) - 2023
- [j16]Subhranil Das, Sudhansu Kumar Mishra:
Collision avoidance and path planning for mobile robots based on state estimation approach. J. Intell. Fuzzy Syst. 44(4): 5991-6002 (2023) - [j15]Amit Kumar Sahoo, Sudhansu Kumar Mishra, Deep Shekhar Acharya, Sitanshu Sekhar Sahu, Sanchita Paul, Vikash Kumar Gupta:
Identification and control of Maglev system using fractional and integer order PID controller. J. Intell. Fuzzy Syst. 44(5): 7277-7289 (2023) - 2022
- [j14]Subhranil Das, Sudhansu Kumar Mishra:
A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments. Comput. Electr. Eng. 103: 108376 (2022) - [j13]Deep Shekhar Acharya, Sudhansu Kumar Mishra, Subrat Kumar Swain, Subhojit Ghosh:
Real-Time Implementation of Fractional-Order PID Controller for Magnetic Levitation Plant With Time Delay. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - 2021
- [j12]Manish Kumar, Sudhansu Kumar Mishra, Justin Joseph, Sunil Kumar Jangir, Dinesh Goyal:
Adaptive comprehensive particle swarm optimisation-based functional-link neural network filtre model for denoising ultrasound images. IET Image Process. 15(6): 1232-1246 (2021) - [j11]Amit Kumar Sahoo, Sudhansu Kumar Mishra:
Design of Lagrangian-Based FOPID Controller for Desired Closed Loop System. J. Circuits Syst. Comput. 30(4): 2150064:1-2150064:15 (2021) - [j10]Manish Kumar, Sudhansu Kumar Mishra, Dilip Kumar Choubey, Sunil Kumar Jangir, Dinesh Goyal:
Multichannel heuristic learning based single layer neural network filter for mixed noise suppression from color Doppler ultrasound images. J. Real Time Image Process. 18(4): 1397-1408 (2021) - [j9]Prajna Parimita Dash, Sudhansu Kumar Mishra, Kishore Kumar Senapati, Ganapati Panda:
Interactive teaching learning based optimization technique for multiple object tracking. Multim. Tools Appl. 80(7): 10577-10600 (2021) - 2020
- [j8]Deep Shekhar Acharya, Sudhansu Kumar Mishra:
Optimal Consensus Recovery of Multi-agent System Subjected to Agent Failure. Int. J. Artif. Intell. Tools 29(6): 2050017:1-2050017:21 (2020) - [j7]Sarat Mishra, Sudhansu Kumar Mishra:
Performance Assessment of a set of Multi-Objective Optimization Algorithms for Solution of Economic Emission Dispatch Problem. Informatica (Slovenia) 44(3) (2020)
2010 – 2019
- 2019
- [c4]Subhranil Das, Sudhansu Kumar Mishra:
A Review on Vision Based Control of Autonomous Vehicles Using Artificial Intelligence Techniques. ICIT 2019: 500-504 - 2018
- [j6]Manish Kumar, Sudhansu Kumar Mishra:
Jaya based functional link multilayer perceptron adaptive filter for Poisson noise suppression from X-ray images. Multim. Tools Appl. 77(18): 24405-24425 (2018) - 2016
- [j5]Manish Kumar, Sudhansu Kumar Mishra, Sitanshu Sekhar Sahu:
Cat Swarm Optimization Based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images. Appl. Comput. Intell. Soft Comput. 2016: 6304915:1-6304915:6 (2016) - [j4]Sudhansu Kumar Mishra, Ganapati Panda, Babita Majhi:
Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms. Swarm Evol. Comput. 28: 117-130 (2016) - 2014
- [j3]Sudhansu Kumar Mishra, Ganapati Panda, Ritanjali Majhi:
Constrained portfolio asset selection using multiobjective bacteria foraging optimization. Oper. Res. 14(1): 113-145 (2014) - [j2]Sudhansu Kumar Mishra, Ganapati Panda, Ritanjali Majhi:
A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection. Swarm Evol. Comput. 16: 38-51 (2014) - 2013
- [c3]Prajna Parimita Dash, Dipti Patra, Sudhansu Kumar Mishra:
Local Binary Pattern as a Texture Feature Descriptor in Object Tracking Algorithm. ICACNI 2013: 541-548 - 2010
- [j1]Sudhansu Kumar Mishra, Ganapati Panda, Sukadev Meher, Ritanjali Majhi:
Multi-objective evolutionary algorithms for financial portfolio design. Int. J. Comput. Vis. Robotics 1(2): 236-247 (2010)
2000 – 2009
- 2009
- [c2]Sudhansu Kumar Mishra, Sukadev Meher, Ganapati Panda, Abhishek Panda:
Comparative Performance Evaluation of Multiobjective Optimization Algorithms for Portfolio Management. NaBIC 2009: 1338-1342 - [c1]Sudhansu Kumar Mishra, Ganapati Panda, Sukadev Meher:
Multi-objective Particle Swarm Optimization Approach to Portfolio Optimization. NaBIC 2009: 1612-1615
Coauthor Index
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