Comparative Performance Evaluation of Multiobjective Optimization Algorithms for Portfolio Management. - Sudhansu Kumar Mishra; Sukadev Meher; Ganapati Panda; Abhishek Panda (NaBIC, 2009)

Multi-objective Particle Swarm Optimization Approach to Portfolio Optimization. - Sudhansu Kumar Mishra; Ganapati Panda; Sukadev Meher (NaBIC, 2009)

Multi-objective evolutionary algorithms for financial portfolio design. - Sudhansu Kumar Mishra; Ganapati Panda; Sukadev Meher; Ritanjali Majhi (Int. J. Comput. Vis. Robotics, 2010)

Local Binary Pattern as a Texture Feature Descriptor in Object Tracking Algorithm. - Prajna Parimita Dash; Dipti Patra; Sudhansu Kumar Mishra (ICACNI, 2013)

Constrained portfolio asset selection using multiobjective bacteria foraging optimization. - Sudhansu Kumar Mishra; Ganapati Panda; Ritanjali Majhi (Oper. Res., 2014)

A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection. - Sudhansu Kumar Mishra; Ganapati Panda; Ritanjali Majhi (Swarm Evol. Comput., 2014)

Cat Swarm Optimization Based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images. - Manish Kumar 009; Sudhansu Kumar Mishra; Sitanshu Sekhar Sahu (Appl. Comput. Intell. Soft Comput., 2016)

Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms. - Sudhansu Kumar Mishra; Ganapati Panda; Babita Majhi (Swarm Evol. Comput., 2016)

Jaya based functional link multilayer perceptron adaptive filter for Poisson noise suppression from X-ray images. - Manish Kumar 009; Sudhansu Kumar Mishra (Multim. Tools Appl., 2018)

A Review on Vision Based Control of Autonomous Vehicles Using Artificial Intelligence Techniques. - Subhranil Das; Sudhansu Kumar Mishra (ICIT, 2019)

Optimal Consensus Recovery of Multi-agent System Subjected to Agent Failure. - Deep Shekhar Acharya; Sudhansu Kumar Mishra (Int. J. Artif. Intell. Tools, 2020)

Performance Assessment of a set of Multi-Objective Optimization Algorithms for Solution of Economic Emission Dispatch Problem. - Sarat Mishra; Sudhansu Kumar Mishra (Informatica (Slovenia), 2020)

Adaptive comprehensive particle swarm optimisation-based functional-link neural network filtre model for denoising ultrasound images. - Manish Kumar 009; Sudhansu Kumar Mishra; Justin Joseph; Sunil Kumar Jangir; Dinesh Goyal (IET Image Process., 2021)

Design of Lagrangian-Based FOPID Controller for Desired Closed Loop System. - Amit Kumar Sahoo; Sudhansu Kumar Mishra (J. Circuits Syst. Comput., 2021)

Multichannel heuristic learning based single layer neural network filter for mixed noise suppression from color Doppler ultrasound images. - Manish Kumar 009; Sudhansu Kumar Mishra; Dilip Kumar Choubey; Sunil Kumar Jangir; Dinesh Goyal (J. Real Time Image Process., 2021)

Interactive teaching learning based optimization technique for multiple object tracking. - Prajna Parimita Dash; Sudhansu Kumar Mishra; Kishore Kumar Senapati; Ganapati Panda (Multim. Tools Appl., 2021)

A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments. - Subhranil Das; Sudhansu Kumar Mishra (Comput. Electr. Eng., 2022)

Real-Time Implementation of Fractional-Order PID Controller for Magnetic Levitation Plant With Time Delay. - Deep Shekhar Acharya; Sudhansu Kumar Mishra; Subrat Kumar Swain; Subhojit Ghosh (IEEE Trans. Instrum. Meas., 2022)

Collision avoidance and path planning for mobile robots based on state estimation approach. - Subhranil Das; Sudhansu Kumar Mishra (J. Intell. Fuzzy Syst., 2023)

Operational reliability evaluation integrating prediction models for enhanced situational awareness in wind-integrated system. - Rohit Kumar; Sudhansu Kumar Mishra (Comput. Electr. Eng., 2024)

An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles. - Abhishek Thakur; Sudhansu Kumar Mishra (Eng. Appl. Artif. Intell., 2024)

Parkinson Disease Prediction Using CNN-LSTM Model from Voice Signal. - Pandit Vivek Kumar Pandey; Sitanshu Sekhar Sahu; Biswajit Karan; Sudhansu Kumar Mishra (SN Comput. Sci., 2024)

Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting. - Abhishek Thakur; Ankit Kumar; Sudhansu Kumar Mishra; Subhendu Kumar Behera; Jagannath Sethi; Sitanshu Sekhar Sahu; Subrat Kumar Swain (SN Comput. Sci., 2024)