Sushruta Mishra
Sushruta Mishra
Assistant Professor
Sushruta Mishra is presently working as Assistant Professor in School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. He received his B.Tech in Computer Science & Engineering from ITER, Bhubaneswar, Odisha, India. He received his M.Tech degree in Computer Science & Engineering from IIIT, Bhubaneswar, Odisha, India. He received his Ph.D in Computer Science & Engineering from KIIT Deemed to be University, Bhubaneswar, Odisha, India. His research area of interest includes Data Science, Machine Learning, Sentiment Analysis, Internet of Things and Cognitive Computing. He has published more than 50 research articles in reputed international journals, Edited books and conferences. He is the life member of CSI and IAENG. Dr. Sushruta Mishra,actively involved in multiple research activities. Machine learning, Dimensionality reduction, Cognitive computing and Internet of Things are his core research areas of interest. He has published more than 130 research articles including journal papers, conference articles, book chapters and edited books in different reputed publications. He is the organizing Chair of an inyternational conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), IEEE. Currently he has a google scholar h-index of 25. Also at present, he is the main supervisor of a US based R&D consultancy project "Automated Data Labeling and Modelling".
Profile Links
Email :
[email protected]
Google Scholar :
https://orcid.org/0000-0003-3929-1100
Social Links
Research Interests
Data Science, Machine Learning, Sentiment Analysis, Internet of Things & Cognitive Computing
Administrative Responsibility
DBMS Lab Coordinator FIC B.Tech Project Faculty Mentor
Memberships
CSI Life time member IAENG Life time member
Data Science, Machine Learning, Sentiment Analysis, Internet of Things & Cognitive Computing
Administrative Responsibility
DBMS Lab Coordinator FIC B.Tech Project Faculty Mentor
Memberships
CSI Life time member IAENG Life time member
Journals/Conferences :
Mishra, S., Tripathy, H. K., Mallick, P. K., Bhoi, A. K., & Barsocchi, P. (2020). EAGA- MLP—an enhanced and adaptive hybrid classification model for diabetes diagnosis. Sensors, 20(14), 4036.
Mishra, S., Mallick, P. K., Jena, L., & Chae, G. S. (2020). Optimization of skewed data using sampling-based preprocessing approach. Frontiers in Public Health, 8, 274.
Mishra, S., Mallick, P. K., Tripathy, H. K., Bhoi, A. K., & González-Briones, A. (2020). Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree classifier. Applied Sciences, 10(22), 8137.
Mallick, P. K., Mishra, S., & Chae, G. S. (2020). Digital media news categorization using Bernoulli document model for web content convergence. Personal and Ubiquitous Computing, 1-16.
Mishra, S., Tripathy, H. K., & Mishra, B. K. (2018). Implementation of biologically motivated optimisation approach for tumour categorisation. International Journal of Computer Aided Engineering and Technology, 10(3), 244-256.
Mishra, S., Tripathy, H. K., & Panda, A. R. (2018). An improved and adaptive attribute selection technique to optimize dengue fever prediction. Int J Eng Technol, 7, 480-486.
Mishra, S., Thakkar, H. K., Mallick, P. K., Tiwari, P., & Alamri, A. (2021). A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection. Sustainable Cities and Society, 72, 103079.
Mishra, S., Mallick, P. K., Tripathy, H. K., Jena, L., & Chae, G. S. (2021). Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations. The International Journal of Electrical Engineering & Education, 0020720921989015.
Mishra, S., Tripathy, H. K., & Kishore, B. (2017). Filter based attribute optimization: a performance enhancement technique for healthcare experts.
Tripathy, H. K., Mishra, S., Thakkar, H. K., & Rai, D. (2021). Care: a collision-aware mobile robot navigation in grid environment using improved breadth first search. Computers & Electrical Engineering, 94, 107327.
Mishra, S., & Panda, A. R. (2018). Predictive evaluation of student’s performance using decision tree approach. J. Adv. Res. Dyn. Control Syst, 511-516.
Tripathy, H. K., Mallick, P. K., & Mishra, S. (2021). Application and evaluation of classification model to detect autistic spectrum disorders in children. International Journal of Computer Applications in Technology, 65(4), 368-377.
Mohapatra, S. K., Mishra, S., Tripathy, H. K., Bhoi, A. K., & Barsocchi, P. (2021). A Pragmatic Investigation of Energy Consumption and Utilization Models in the Urban Sector Using Predictive Intelligence Approaches. Energies, 14(13), 3900.
Mishra, S., Panda, A., & Tripathy, K. H. (2018). Implementation of re-sampling technique to handle skewed data in tumor prediction. J Adv Res Dyn Control Syst, 10, 526-30.
Panda, A. R., & Mishra, M. (2018). Smart Phone Purchase Prediction with 3-NN Classifier. J. Adv. Res. Dyn. Control Syst, 674-680.
Tripathy, H. K., Mishra, S., Suman, S., Nayyar, A., & Sahoo, K. S. (2022). Smart COVID- shield: an IoT driven reliable and automated prototype model for COVID-19 symptoms tracking. Computing, 1-22.
Mishra, S., Tripathy, H. K., Thakkar, H. K., Garg, D., Kotecha, K., & Pandya, S. (2021). An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment. Frontiers in public health, 9.
Suman, S., Mishra, S., Sahoo, K. S., & Nayyar, A. (2022). Vision Navigator: A Smart and Intelligent Obstacle Recognition Model for Visually Impaired Users. Mobile Information Systems, 2022.
CONFERENCES:
Mishra, S., Chaudhury, P., Mishra, B. K., & Tripathy, H. K. (2016, March). An implementation of feature ranking using machine learning techniques for diabetes disease prediction. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (pp. 1-3).
Chaudhury, P., Mishra, S., Tripathy, H. K., & Kishore, B. (2016, March). Enhancing the capabilities of student result prediction system. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (pp. 1-6).
Jena, L., Patra, B., Nayak, S., Mishra, S., & Tripathy, S. (2021). Risk prediction of kidney disease using machine learning strategies. In Intelligent and cloud computing (pp. 485-494). Springer, Singapore.
Ray, C., Kumar Tripathy, H., & Mishra, S. (2019, June). Assessment of autistic disorder using machine learning approach. In International Conference on Intelligent Computing and Communication (pp. 209-219). Springer, Singapore.
Mishra, S., Tadesse, Y., Dash, A., Jena, L., & Ranjan, P. (2021). Thyroid disorder analysis using random forest classifier. In Intelligent and cloud computing (pp. 385-390). Springer, Singapore.
Dutta, A., Misra, C., Barik, R. K., & Mishra, S. (2021). Enhancing mist assisted cloud computing toward secure and scalable architecture for smart healthcare. In Advances in Communication and Computational Technology (pp. 1515-1526). Springer, Singapore.
Jena, L., Mishra, S., Nayak, S., Ranjan, P., & Mishra, M. K. (2021). Variable optimization in cervical cancer data using particle swarm optimization. In Advances in Electronics, Communication and Computing (pp. 147-153). Springer, Singapore.
Sahoo, S., Das, M., Mishra, S., & Suman, S. (2021). A hybrid DTNB model for heart disorders prediction. In Advances in electronics, communication and computing (pp. 155- 163). Springer, Singapore.
Jena, K. C., Mishra, S., Sahoo, S., & Mishra, B. K. (2017, January). Principles, techniques and evaluation of recommendation systems. In 2017 International Conference on Inventive Systems and Control (ICISC) (pp. 1-6). IEEE.
Mishra, S., Sahoo, S., Mishra, B. K., & Satapathy, S. (2016, October). A quality based automated admission system for educational domain. In 2016 international conference on signal processing, communication, power and embedded system (SCOPES) (pp.
221-223). IEEE.
Mishra, S., Koner, D., Jena, L., & Ranjan, P. (2021). Leaves shape categorization using convolution neural network model. In Intelligent and Cloud Computing (pp. 375-383). Springer, Singapore.
Mishra, S., Mishra, B. K., Sahoo, S., & Panda, B. (2020). Impact of swarm intelligence techniques in diabetes disease risk prediction. In Robotic Systems: Concepts, Methodologies, Tools, and Applications (pp. 1181-1198). IGI Global.
Ray, C., Tripathy, H. K., & Mishra, S. (2019, April). A review on facial expression based behavioral analysis using computational technique for autistic disorder patients. In International Conference on Advances in Computing and Data Sciences (pp. 450- 464). Springer, Singapore.
Tutica, L., Vineel, K. S. K., Mishra, S., Mishra, M. K., & Suman, S. (2021). Invoice deduction classification using LGBM prediction model. In Advances in Electronics, Communication and Computing (pp. 127-137). Springer, Singapore.
Sahoo, S., Mishra, S., Panda, B., & Jena, N. (2016, March). Building a new model for feature optimization in agricultural sectors. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 2337-2341). IEEE.
Chowdhury, S. R., Mishra, S., Miranda, A. O., & Mallick, P. K. (2020, March). Energy Consumption Prediction Using Light Gradient Boosting Machine Model. In International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (pp. 413-422). Springer, Singapore.
Mishra, S., Mishra, B. K., & Tripathy, H. K. (2015, December). A neuro-genetic model to predict hepatitis disease risk. In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1-3). IEEE.
Suman, S., Mishra, S., & Tripathy, H. K. (2021). A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones. In Cognitive Informatics and Soft Computing (pp. 73-83). Springer, Singapore.
Ranjan, P., & Mishra, S. (2021). Risk Factors Analysis for Real Estate Price Prediction Using Regression Approach. In Cognitive Informatics and Soft Computing (pp. 61-72). Springer, Singapore.
Mallick, P. K., Dutta, P., Mishra, S., & Mishra, M. K. (2021). Sentiment Analysis and Evaluation of Movie Reviews Using Classifiers. In Cognitive Informatics and Soft Computing (pp. 53-59). Springer, Singapore.
Mallick, P. K., Mishra, S., Mohanty, B. P., & Satapathy, S. K. (2021). A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder. In Cognitive Informatics and Soft Computing (pp. 43-51). Springer, Singapore.
Mallick, P. K., Mishra, S., Mohanty, B. P., & Satapathy, S. K. (2021). A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder. In Cognitive Informatics and Soft Computing (pp. 43-51). Springer, Singapore.
Mishra, S., Sahoo, S., Ranjan, P., & Panda, A. R. (2021). Machine Learning Approach in Crime Records Evaluation. In Advances in Systems, Control and Automations (pp. 255- 262). Springer, Singapore.
Kumar, A., Baksi, R., Mishra, S., Mishra, S., & Rudra, S. (2021). Analysis of a Career Prediction Framework Using Decision Tree. In Advances in Systems, Control and Automations (pp. 247-253). Springer, Singapore.
Mondal, S., Tripathy, H. K., Mishra, S., & Mallick, P. K. (2021). Perspective Analysis of Anti-aging Products Using Voting-Based Ensemble Technique. In Advances in Systems, Control and Automations (pp. 237-246). Springer, Singapore.
Books :
1. Mishra, S., Mishra, B. K., Tripathy, H. K., & Dutta, A. (2020). Analysis of the role and scope of big data analytics with IoT in health care domain. In Handbook of data science approaches for biomedical engineering (pp. 1-23). Academic Press.
2. Mishra, S., Dash, A., & Jena, L. (2021). Use of deep learning for disease detection and diagnosis. In Bio-inspired neurocomputing (pp. 181-201). Springer, Singapore.
3. Rath, M., & Mishra, S. (2019). Advanced-level security in network and real-time applications using machine learning approaches. In Machine learning and cognitive science applications in cyber security (pp. 84-104). IGI Global.
4. Mishra, S., Sahoo, S., & Mishra, B. K. (2019). Addressing security issues and standards in Internet of things. In Emerging trends and applications in cognitive computing (pp. 224-257). IGI Global.
5. Rath, M., & Mishra, S. (2020). Security approaches in machine learning for satellite communication. In Machine learning and data mining in aerospace technology (pp. 189- 204). Springer, Cham.
6. Mishra, S., Dash, A., & Mishra, B. K. (2020). An insight of Internet of Things applications in pharmaceutical domain. In Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach (pp. 245-273). Academic Press.
7. Tripathy, H. K., Mishra, S., & Dash, K. (2021). Significance of IoT in Education Domain. In Internet of Things: Enabling Technologies, Security and Social Implications (pp. 59- 83). Springer, Singapore.
8. Mishra, S., Tripathy, H. K., & Acharya, B. (2020). A Precise Analysis of Deep Learning for Medical Image Processing. In Bio-inspired Neurocomputing (pp. 25-41). Springer, Singapore.
9. Mishra, S., Mallick, P. K., & Koner, D. (2021). Significance of IoT in the Agricultural Sector. In Smart Sensors for Industrial Internet of Things (pp. 173-194). Springer, Cham.
10. Mohapatra, S.K.; Nayak, P.; Mishra, S.; Bisoy, S.K. Green Computing. In Emerging Trends and Applications in Cognitive Computing; IGI Global: Hershey, PA, USA, 2019; pp. 124–149.
11. Roy, S.N., Mishra, S., Yusof, S.M. (2021). Emergence of Drug Discovery in Machine Learning. In: Tripathy, H.K., Mishra, S., Mallick, P.K., Panda, A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_7
12. Mukherjee, D., Tripathy, H.K., Mishra, S. (2021). Scope of Medical Bots in Clinical Domain. In: Tripathy, H.K., Mishra, S., Mallick, P.K., Panda, A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_17
Mishra, S., Tripathy, H. K., Mallick, P. K., Bhoi, A. K., & Barsocchi, P. (2020). EAGA- MLP—an enhanced and adaptive hybrid classification model for diabetes diagnosis. Sensors, 20(14), 4036.
Mishra, S., Mallick, P. K., Jena, L., & Chae, G. S. (2020). Optimization of skewed data using sampling-based preprocessing approach. Frontiers in Public Health, 8, 274.
Mishra, S., Mallick, P. K., Tripathy, H. K., Bhoi, A. K., & González-Briones, A. (2020). Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree classifier. Applied Sciences, 10(22), 8137.
Mallick, P. K., Mishra, S., & Chae, G. S. (2020). Digital media news categorization using Bernoulli document model for web content convergence. Personal and Ubiquitous Computing, 1-16.
Mishra, S., Tripathy, H. K., & Mishra, B. K. (2018). Implementation of biologically motivated optimisation approach for tumour categorisation. International Journal of Computer Aided Engineering and Technology, 10(3), 244-256.
Mishra, S., Tripathy, H. K., & Panda, A. R. (2018). An improved and adaptive attribute selection technique to optimize dengue fever prediction. Int J Eng Technol, 7, 480-486.
Mishra, S., Thakkar, H. K., Mallick, P. K., Tiwari, P., & Alamri, A. (2021). A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection. Sustainable Cities and Society, 72, 103079.
Mishra, S., Mallick, P. K., Tripathy, H. K., Jena, L., & Chae, G. S. (2021). Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations. The International Journal of Electrical Engineering & Education, 0020720921989015.
Mishra, S., Tripathy, H. K., & Kishore, B. (2017). Filter based attribute optimization: a performance enhancement technique for healthcare experts.
Tripathy, H. K., Mishra, S., Thakkar, H. K., & Rai, D. (2021). Care: a collision-aware mobile robot navigation in grid environment using improved breadth first search. Computers & Electrical Engineering, 94, 107327.
Mishra, S., & Panda, A. R. (2018). Predictive evaluation of student’s performance using decision tree approach. J. Adv. Res. Dyn. Control Syst, 511-516.
Tripathy, H. K., Mallick, P. K., & Mishra, S. (2021). Application and evaluation of classification model to detect autistic spectrum disorders in children. International Journal of Computer Applications in Technology, 65(4), 368-377.
Mohapatra, S. K., Mishra, S., Tripathy, H. K., Bhoi, A. K., & Barsocchi, P. (2021). A Pragmatic Investigation of Energy Consumption and Utilization Models in the Urban Sector Using Predictive Intelligence Approaches. Energies, 14(13), 3900.
Mishra, S., Panda, A., & Tripathy, K. H. (2018). Implementation of re-sampling technique to handle skewed data in tumor prediction. J Adv Res Dyn Control Syst, 10, 526-30.
Panda, A. R., & Mishra, M. (2018). Smart Phone Purchase Prediction with 3-NN Classifier. J. Adv. Res. Dyn. Control Syst, 674-680.
Tripathy, H. K., Mishra, S., Suman, S., Nayyar, A., & Sahoo, K. S. (2022). Smart COVID- shield: an IoT driven reliable and automated prototype model for COVID-19 symptoms tracking. Computing, 1-22.
Mishra, S., Tripathy, H. K., Thakkar, H. K., Garg, D., Kotecha, K., & Pandya, S. (2021). An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment. Frontiers in public health, 9.
Suman, S., Mishra, S., Sahoo, K. S., & Nayyar, A. (2022). Vision Navigator: A Smart and Intelligent Obstacle Recognition Model for Visually Impaired Users. Mobile Information Systems, 2022.
CONFERENCES:
Mishra, S., Chaudhury, P., Mishra, B. K., & Tripathy, H. K. (2016, March). An implementation of feature ranking using machine learning techniques for diabetes disease prediction. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (pp. 1-3).
Chaudhury, P., Mishra, S., Tripathy, H. K., & Kishore, B. (2016, March). Enhancing the capabilities of student result prediction system. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (pp. 1-6).
Jena, L., Patra, B., Nayak, S., Mishra, S., & Tripathy, S. (2021). Risk prediction of kidney disease using machine learning strategies. In Intelligent and cloud computing (pp. 485-494). Springer, Singapore.
Ray, C., Kumar Tripathy, H., & Mishra, S. (2019, June). Assessment of autistic disorder using machine learning approach. In International Conference on Intelligent Computing and Communication (pp. 209-219). Springer, Singapore.
Mishra, S., Tadesse, Y., Dash, A., Jena, L., & Ranjan, P. (2021). Thyroid disorder analysis using random forest classifier. In Intelligent and cloud computing (pp. 385-390). Springer, Singapore.
Dutta, A., Misra, C., Barik, R. K., & Mishra, S. (2021). Enhancing mist assisted cloud computing toward secure and scalable architecture for smart healthcare. In Advances in Communication and Computational Technology (pp. 1515-1526). Springer, Singapore.
Jena, L., Mishra, S., Nayak, S., Ranjan, P., & Mishra, M. K. (2021). Variable optimization in cervical cancer data using particle swarm optimization. In Advances in Electronics, Communication and Computing (pp. 147-153). Springer, Singapore.
Sahoo, S., Das, M., Mishra, S., & Suman, S. (2021). A hybrid DTNB model for heart disorders prediction. In Advances in electronics, communication and computing (pp. 155- 163). Springer, Singapore.
Jena, K. C., Mishra, S., Sahoo, S., & Mishra, B. K. (2017, January). Principles, techniques and evaluation of recommendation systems. In 2017 International Conference on Inventive Systems and Control (ICISC) (pp. 1-6). IEEE.
Mishra, S., Sahoo, S., Mishra, B. K., & Satapathy, S. (2016, October). A quality based automated admission system for educational domain. In 2016 international conference on signal processing, communication, power and embedded system (SCOPES) (pp.
221-223). IEEE.
Mishra, S., Koner, D., Jena, L., & Ranjan, P. (2021). Leaves shape categorization using convolution neural network model. In Intelligent and Cloud Computing (pp. 375-383). Springer, Singapore.
Mishra, S., Mishra, B. K., Sahoo, S., & Panda, B. (2020). Impact of swarm intelligence techniques in diabetes disease risk prediction. In Robotic Systems: Concepts, Methodologies, Tools, and Applications (pp. 1181-1198). IGI Global.
Ray, C., Tripathy, H. K., & Mishra, S. (2019, April). A review on facial expression based behavioral analysis using computational technique for autistic disorder patients. In International Conference on Advances in Computing and Data Sciences (pp. 450- 464). Springer, Singapore.
Tutica, L., Vineel, K. S. K., Mishra, S., Mishra, M. K., & Suman, S. (2021). Invoice deduction classification using LGBM prediction model. In Advances in Electronics, Communication and Computing (pp. 127-137). Springer, Singapore.
Sahoo, S., Mishra, S., Panda, B., & Jena, N. (2016, March). Building a new model for feature optimization in agricultural sectors. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 2337-2341). IEEE.
Chowdhury, S. R., Mishra, S., Miranda, A. O., & Mallick, P. K. (2020, March). Energy Consumption Prediction Using Light Gradient Boosting Machine Model. In International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (pp. 413-422). Springer, Singapore.
Mishra, S., Mishra, B. K., & Tripathy, H. K. (2015, December). A neuro-genetic model to predict hepatitis disease risk. In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1-3). IEEE.
Suman, S., Mishra, S., & Tripathy, H. K. (2021). A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones. In Cognitive Informatics and Soft Computing (pp. 73-83). Springer, Singapore.
Ranjan, P., & Mishra, S. (2021). Risk Factors Analysis for Real Estate Price Prediction Using Regression Approach. In Cognitive Informatics and Soft Computing (pp. 61-72). Springer, Singapore.
Mallick, P. K., Dutta, P., Mishra, S., & Mishra, M. K. (2021). Sentiment Analysis and Evaluation of Movie Reviews Using Classifiers. In Cognitive Informatics and Soft Computing (pp. 53-59). Springer, Singapore.
Mallick, P. K., Mishra, S., Mohanty, B. P., & Satapathy, S. K. (2021). A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder. In Cognitive Informatics and Soft Computing (pp. 43-51). Springer, Singapore.
Mallick, P. K., Mishra, S., Mohanty, B. P., & Satapathy, S. K. (2021). A Deep Neural Network Model for Effective Diagnosis of Melanoma Disorder. In Cognitive Informatics and Soft Computing (pp. 43-51). Springer, Singapore.
Mishra, S., Sahoo, S., Ranjan, P., & Panda, A. R. (2021). Machine Learning Approach in Crime Records Evaluation. In Advances in Systems, Control and Automations (pp. 255- 262). Springer, Singapore.
Kumar, A., Baksi, R., Mishra, S., Mishra, S., & Rudra, S. (2021). Analysis of a Career Prediction Framework Using Decision Tree. In Advances in Systems, Control and Automations (pp. 247-253). Springer, Singapore.
Mondal, S., Tripathy, H. K., Mishra, S., & Mallick, P. K. (2021). Perspective Analysis of Anti-aging Products Using Voting-Based Ensemble Technique. In Advances in Systems, Control and Automations (pp. 237-246). Springer, Singapore.
Books :
1. Mishra, S., Mishra, B. K., Tripathy, H. K., & Dutta, A. (2020). Analysis of the role and scope of big data analytics with IoT in health care domain. In Handbook of data science approaches for biomedical engineering (pp. 1-23). Academic Press.
2. Mishra, S., Dash, A., & Jena, L. (2021). Use of deep learning for disease detection and diagnosis. In Bio-inspired neurocomputing (pp. 181-201). Springer, Singapore.
3. Rath, M., & Mishra, S. (2019). Advanced-level security in network and real-time applications using machine learning approaches. In Machine learning and cognitive science applications in cyber security (pp. 84-104). IGI Global.
4. Mishra, S., Sahoo, S., & Mishra, B. K. (2019). Addressing security issues and standards in Internet of things. In Emerging trends and applications in cognitive computing (pp. 224-257). IGI Global.
5. Rath, M., & Mishra, S. (2020). Security approaches in machine learning for satellite communication. In Machine learning and data mining in aerospace technology (pp. 189- 204). Springer, Cham.
6. Mishra, S., Dash, A., & Mishra, B. K. (2020). An insight of Internet of Things applications in pharmaceutical domain. In Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach (pp. 245-273). Academic Press.
7. Tripathy, H. K., Mishra, S., & Dash, K. (2021). Significance of IoT in Education Domain. In Internet of Things: Enabling Technologies, Security and Social Implications (pp. 59- 83). Springer, Singapore.
8. Mishra, S., Tripathy, H. K., & Acharya, B. (2020). A Precise Analysis of Deep Learning for Medical Image Processing. In Bio-inspired Neurocomputing (pp. 25-41). Springer, Singapore.
9. Mishra, S., Mallick, P. K., & Koner, D. (2021). Significance of IoT in the Agricultural Sector. In Smart Sensors for Industrial Internet of Things (pp. 173-194). Springer, Cham.
10. Mohapatra, S.K.; Nayak, P.; Mishra, S.; Bisoy, S.K. Green Computing. In Emerging Trends and Applications in Cognitive Computing; IGI Global: Hershey, PA, USA, 2019; pp. 124–149.
11. Roy, S.N., Mishra, S., Yusof, S.M. (2021). Emergence of Drug Discovery in Machine Learning. In: Tripathy, H.K., Mishra, S., Mallick, P.K., Panda, A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_7
12. Mukherjee, D., Tripathy, H.K., Mishra, S. (2021). Scope of Medical Bots in Clinical Domain. In: Tripathy, H.K., Mishra, S., Mallick, P.K., Panda, A.R. (eds) Technical Advancements of Machine Learning in Healthcare. Studies in Computational Intelligence, vol 936. Springer, Singapore. https://doi.org/10.1007/978-981-33-4698-7_17