Publications
Dr. Shalini Mahato's Publications
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Shalini Mahato and Sanchita Paul, “Detection of Major Depressive Disorder using linear and non-linear features from EEG signal ”, Journal of Microsystem Technologies, Springer,Vol.25, no.3, 2018. https://doi.org/10.1007/s00542-018-4075-z. (SCI Indexed, IF=2.27) .
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Shalini Mahato and Sanchita Paul, “Classification of Depression patients and normal subjects based on Electroencephalogram (EEG) Signal using Alpha power and Theta asymmetry”, Journal of Medical Systems, Vol. 44, no. 28, 2019.
https://doi.org/10.1007/s10916-019-1486-z
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Shalini Mahato , Nishant Goyal, Daya Ram and Sanchita Paul, “Detection of Depression and Scaling of Severity Using Six Channel EEG Data”, Journal of Medical Systems, Vol. 44, no. 118 2020. https://doi.org/10.1007/s10916-020-01573-y
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Laxmi K. Pathak and Shalini Mahato, “Artificial Intelligence: Changing the scenario of
COVID-19”, Disaster Adv., vol. 13, no. 10, pp. 85–92, 2020.
https://doi.org/10.1002/9781119785620.ch15
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Shalini Mahato and Sanchita Paul,
“Analysis of Region of Interest (RoI) of Brain for Detection of Depression using EEG Signal,”
Multimedia Tools and Applications, doi: 10.1007/s11042-023-15827-7.
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Sumira Malik and Shalini Mahato,
“Analysis of pre and post influence of COVID-19 pandemic among general population: An initial approach to COVID-19,”
Research Journal of Biotechnology, vol. 15, no. 10, pp. 199–211, 2020.
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Shalini Mahato , Sanchita Paul, Nishant Goyal, Sachi Nandan Mohanty and Sarika Jain,
“3EDANFIS: Three Channel EEG-Based Depression Detection Technique with Hybrid Adaptive Neuro Fuzzy Inference System”, Recent Patents on Engineering, 2022 https://dx.doi.org/10.2174/1872212117666220801105612
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A. O. Khadidos, K. H. Alyoubi, S. Mahato, A. O. Khadidos and S. N. Mohanty, "Computer Aided Detection of Major Depressive Disorder (MDD) using Electroencephalogram Signals," in IEEE Access, doi: 10.1109/ACCESS.2023.3262930
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A. O. Khadidos, K. H. Alyoubi, S. Mahato, A. O. Khadidos and S. N. Mohanty, “Machine Learning and based Electroencephalogram Signal based Diagnosis of Depression”,
Neuroscience Letters, 137313, 2023. https://doi.org/10.1016/j.neulet.2023.137313
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N. Sharma, S. N. Mohanty, S. Mahato, and C. R. Pattanaik, "A novel dataset and local interpretable model-agnostic explanations (LIME) for monkeypox prediction." Intelligent
Decision Technologies Preprint: 1-12.
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Shalini Mahato and Sanjay Biswas, “A Faster Genetic Algorithm to Solve Knapsack Problem employing Fuzzy Technique”, IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2013. https://doi.org/10.1109/ICCCNT.2013.6726649
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Shalini Mahato and Sanchita Paul, “Electroencephalogram (EEG) signal analysis for diagnosis of Major Depressive Disorder (MDD): a review”, Nanoelectronics, Circuits And
Communication Systems, Vijay Nath and Jyotsna Kumar Mandal (Eds), Vol. 511, Springer, Singapore, 2017. https://doi.org/10.1007/978-981-13-0776-8_30
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Shalini Mahato, Abhishek Roy, Akshay Verma and Sanchita Paul, “Analysis of Electroencephalogram (EEG) Signals for Detection of Major Depressive Disorder (MDD) using Feature Selection and Reduction Techniques”, Nanoelectronics, Circuits And Communication Systems, Vijay Nath and Jyotsna Kumar Mandal, Lecture Notes in Electrical Engineering, vol 692. Springer, Singapore. https://doi.org/10.1007/978-981-15-7486-3_39
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Soni Sweta, Shalini Mahato, and Laxmi K. Pathak, “Prediction of Learner’s Performance in Adaptive E-Learning System using Learning Analytics,” IOP Conf. Ser. Mater. Sci. Eng., vol.
1049, no. 1, p. 012006, 2021. doi: doi:10.1088/1757-899X/1049/1/012006
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Shalini Mahato, and Laxmi K. Pathak, “Prediction of Learner’s Performance in Adaptive ELearning System using Learning Analytics,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1049, no. 1, p.
012006, 2021. doi: doi:10.1088/1757-899X/1049/1/012006
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Shalini Mahato, Laxmi K.Pathak and Kajal Kumari, “Detection of Schizophrenia Using EEG
Signals” in Data Analytics in Bioinformatics: A Machine Learning Perspective, R. Satpathy, T. Choudhury, S. Satpathy, S. N. Mohanty and X. Zhang (Eds), Wiley, pp. 359-390. doi:https://doi.org/10.1002/9781119785620.ch15
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Laxmi Kumari Pathak, Shalini Mahato and Soni Sweta, “Technological Dimension of Smart City” in Smart City Architecture and Infrastructure: the Block chain and Artificial Intelligence
Perspective, V. Kumar, V. Jain, B. Sharma, J. M. Chatterjee and R. Shrestha (Eds.), Scrivener Publishing, pp 245–266
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Shalini Mahato, Laxmi Kumari Pathak and Sumira Mallik, “Impact of Work from Home during COVID-19 Scenerio”in HR Practices in the POST-COVID-19 Scenario, S.Sharma,
Scrivener Publishing
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Shalini Mahato and Laxmi Kumari Pathak , “Wearable Smart Technologies: Changing the future of Healthcare” in "Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions , CRC Press
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