Mayukha Pal

Orcid: 0000-0001-6037-1338

According to our database1, Mayukha Pal authored at least 26 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Empirical mode decomposition and Hessian LLE in Fluorescence spectral signal analysis for Cervical cancer detection.
Biomed. Signal Process. Control., 2025

2024
Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations.
Int. J. Data Sci. Anal., October, 2024

A novel approach to threshold quantum images by using unsharp measurements.
Quantum Inf. Process., March, 2024

Data Imputation Using Self Attention Based Model for Enhancing Distribution Grid Monitoring and Protection Systems.
IEEE Trans. Instrum. Meas., 2024

Technological advancements and innovations in enhancing resilience of electrical distribution systems.
Int. J. Crit. Infrastructure Prot., 2024

Identification of surface defects on solar PV panels and wind turbine blades using attention based deep learning model.
Eng. Appl. Artif. Intell., 2024

Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data.
CoRR, 2024

Fault Classification in Electrical Distribution Systems using Grassmann Manifold.
CoRR, 2024

Energy Sharing among Resources within Electrical Distribution Systems: A Systematic Review.
CoRR, 2024

2023
DynamoPMU: A Physics Informed Anomaly Detection, Clustering, and Prediction Method Using Nonlinear Dynamics on μ PMU Measurements.
IEEE Trans. Instrum. Meas., 2023

Advancements in Arc Fault Detection for Electrical Distribution Systems: A Comprehensive Review from Artificial Intelligence Perspective.
CoRR, 2023

Modelling of the Electric Vehicle Charging Infrastructure as Cyber Physical Power Systems: A Review on Components, Standards, Vulnerabilities and Attacks.
CoRR, 2023

Advancements in Enhancing Resilience of Electrical Distribution Systems: A Review on Frameworks, Metrics, and Technological Innovations.
CoRR, 2023

DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from μPMU Measurement Data.
CoRR, 2023

Identification of Forced Oscillation Sources in Wind Farms using E-SINDy.
CoRR, 2023

CerviFormer: A Pap-smear based cervical cancer classification method using cross attention and latent transformer.
CoRR, 2023

A Resilient Power Distribution System using P2P Energy Sharing.
CoRR, 2023

Planning of Fast Charging Infrastructure for Electric Vehicles in a Distribution System and Prediction of Dynamic Price.
CoRR, 2023

An Integrative Method for COVID-19 Patients' Classification from Chest X-ray Using Deep Learning Network with Image Visibility Graph as Feature Extractor.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

Classification of the Chest X-ray Images of COVID-19 Patients Through the Mean Structural Similarity Index.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022
Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks.
CoRR, 2022

Evaluation of Energy Resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading.
CoRR, 2022

Local Interpretable Model Agnostic Shap Explanations for machine learning models.
CoRR, 2022

Data-Driven Approach to form Energy Resilient Smart Microgrids with Identification of Vulnerable Nodes in Active Electrical Distribution Network.
CoRR, 2022

A methodology for identifying resiliency in renewable electrical distribution system using complex network.
CoRR, 2022

Coupled Oscillator Dynamics in Brain EEG Signals: Manifestation of synchronization and Across Frequency Energy Exchange by Neutral Turbulence.
IEEE Access, 2022


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