Privacy Preserving Distributed Data Mining with Evolutionary Computing. - Lambodar Jena; Narendra Kumar Kamila; Sushruta Mishra (FICTA, 2013)

Enhancing the capabilities of Student Result Prediction System. - Pamela Chaudhury; Sushruta Mishra; Hrudaya Kumar Tripathy; Brojo Kishore Mishra (ICTCS, 2016)

An implementation of Feature ranking using Machine learning techniques for Diabetes disease prediction. - Sushruta Mishra; Pamela Chaudhury; Brojo Kishore Mishra; Hrudaya Kumar Tripathy (ICTCS, 2016)

Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction. - Sushruta Mishra; Brojo Kishore Mishra; Soumya Sahoo; Bijayalaxmi Panda (Int. J. Knowl. Discov. Bioinform., 2016)

Implementation of biologically motivated optimisation approach for tumour categorisation. - Sushruta Mishra; Hrudaya Kumar Tripathy; Brojo Kishore Mishra (Int. J. Comput. Aided Eng. Technol., 2018)

A Review on Facial Expression Based Behavioral Analysis Using Computational Technique for Autistic Disorder Patients. - Camellia Ray; Hrudaya Kumar Tripathy; Sushruta Mishra (ICACDS (2), 2019)

EAGA-MLP - An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis. - Sushruta Mishra; Hrudaya Kumar Tripathy; Pradeep Kumar Mallick; Akash Kumar Bhoi; Paolo Barsocchi (Sensors, 2020)

CARE: A Collision-Aware Mobile Robot Navigation in Grid Environment using Improved Breadth First Search. - Hrudaya Kumar Tripathy; Sushruta Mishra; Hiren Kumar Thakkar; Deepak Rai (Comput. Electr. Eng., 2021)

Application and evaluation of classification model to detect autistic spectrum disorders in children. - Hrudaya Kumar Tripathy; Pradeep Kumar Mallick; Sushruta Mishra (Int. J. Comput. Appl. Technol., 2021)

Smart COVID-shield: an IoT driven reliable and automated prototype model for COVID-19 symptoms tracking. - Hrudaya Kumar Tripathy; Sushruta Mishra; Shubham Suman; Anand Nayyar; Kshira Sagar Sahoo (Computing, 2022)

An Improvised Deep-Learning-Based Mask R-CNN Model for Laryngeal Cancer Detection Using CT Images. - Pravat Kumar Sahoo; Sushruta Mishra; Ranjit Panigrahi; Akash Kumar Bhoi; Paolo Barsocchi (Sensors, 2022)

Brain Tumor Detection and Classification Using a Hyperparameter Tuned Convolutional Neural Network. - Amita Banerjee; Khushi Jaiswal; Tiyasha Biswas; Vandana Sharma; Meghna Bal; Sushruta Mishra (IC3I, 2023)

An Integrated and Optimized Fog Computing enabled Framework to minimize Time Complexity in Smart Grids. - Rohan Nag; Adhinayak S. Samantraj; Sushruta Mishra; Vandana Sharma (IC3I, 2023)

An Early-Stage Diabetes Symptoms Detection Prototype using Ensemble Learning. - Aritra Nandi; Souhardya Pal; Abir Mishra; Vandana Sharma; Sushruta Mishra; Ahmed Alkhayyat 001 (IC3I, 2023)

A Voting Enabled Predictive Approach for Hate Speech Detection. - Parnani Panda; Sushruta Mishra; Vandana Sharma; Ahmed Alkhayyat 001 (IC3I, 2023)

Investigation and Implication of Advanced Sensory Computing in Military and Defense Applications. - Debasis Nayak; Ishan Ganguly; Sushruta Mishra; Kunal Anand (SCCTT, 2023)

Risk Monitoring for Confidentiality of Healthcare Data. - Ahmed F. Siddiqui; Aditya J. Paul; Sushruta Mishra (SNSFAIT, 2023)

Digital media news categorization using Bernoulli document model for web content convergence. - Pradeep Kumar Mallick; Sushruta Mishra; Gyoo-Soo Chae (Pers. Ubiquitous Comput., 2023)

An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble. - Saswati Sahoo; Sushruta Mishra; Baidyanath Panda; Akash Kumar Bhoi; Paolo Barsocchi (Sensors, 2023)

Cogni-Sec: A secure cognitive enabled distributed reinforcement learning model for medical cyber-physical system. - Sushruta Mishra; Soham Chakraborty 006; Kshira Sagar Sahoo; Muhammad Bilal 003 (Internet Things, 2023)

Analyzing Safety Risk Variables in Real time at Construction Sites Using YOLOv8 Architecture 73-95. - Danish Khan; Kumar Tejashwa; Sushruta Mishra (SNSFAIT, 2024)

SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN. - Saswati Sahoo; Sushruta Mishra; Biswajit Brahma; Paolo Barsocchi; Akash Kumar Bhoi (Int. J. Comput. Intell. Syst., 2024)