Monidipa Das

发表

Analyzing impact of parental occupation on child’s learning performance: a semantics-driven probabilistic approach

Monidipa Das, 2020, International Journal of Data Science and Analytics.

Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, Pattern Recognit. Lett..

SARDINE: A Self-Adaptive Recurrent Deep Incremental Network Model for Spatio-Temporal Prediction of Remote Sensing Data

Mahardhika Pratama, Monidipa Das, Soumya K. Ghosh, 2020, ACM Trans. Spatial Algorithms Syst..

BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatio-temporal Prediction of Daily Precipitation

Monidipa Das, Soumya K. Ghosh, 2017, SIGSPATIAL/GIS.

Short-term prediction of land surface temperature using multifractal detrended fluctuation analysis

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2014, 2014 Annual IEEE India Conference (INDICON).

Spatial Time Series Prediction Using Advanced BN Models—An Application Perspective

Monidipa Das, Soumya K. Ghosh, Soumya K. Ghosh, 2019, Studies in Computational Intelligence.

FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN)

Monidipa Das, Soumya K. Ghosh, Vinay K. Dadhwal, 2017, IEEE Transactions on Knowledge and Data Engineering.

FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN) (Extended Abstract)

Monidipa Das, Soumya K. Ghosh, Vinay K. Dadhwal, 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

Performance Analysis for NFBN—A New Fuzzy Bayesian Network Learning Approach

Monidipa Das, Soumya K. Ghosh, 2018 .

Advanced Bayesian Network Models with Fuzzy Extension

Monidipa Das, Soumya K. Ghosh, 2020 .

Short-Term Load Forecasting: An Intelligent Approach Based on Recurrent Neural Network

Monidipa Das, Soumya K. Ghosh, Atul Patel, 2019 .

Measuring Moran's I in a Cost-Efficient Manner to Describe a Land-Cover Change Pattern in Large-Scale Remote Sensing Imagery

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN)

Monidipa Das, Soumya K. Ghosh, 2017, PReMI.

Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN)

Monidipa Das, Soumya K. Ghosh, 2019, COMAD/CODS.

A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach

Shashi Shekhar, Monidipa Das, Soumya K. Ghosh, 2016, SIGSPATIAL/GIS.

Standard Bayesian Network Models for Spatial Time Series Prediction

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2019, Studies in Computational Intelligence.

A Probabilistic Nonlinear Model for Forecasting Daily Water Level in Reservoir

Monidipa Das, Soumya K. Ghosh, R. K. Sharma, 2016, Water Resources Management.

Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data

Monidipa Das, Soumya K. Ghosh, M. Das, 2017, CODS.

semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, Pattern Recognit. Lett..

A probabilistic approach for weather forecast using spatio-temporal inter-relationships among climate variables

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2014, 2014 9th International Conference on Industrial and Information Systems (ICIIS).

Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data

Monidipa Das, Soumya K. Ghosh, 2016, IEEE Geoscience and Remote Sensing Letters.

Bayesian Network with Residual Correction Mechanism

Monidipa Das, Soumya K. Ghosh, 2020 .

FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2019, Expert Syst. Appl..

Modeling Spatio-temporal Change Pattern using Mathematical Morphology

Monidipa Das, Soumya K. Ghosh, Soumya K. Ghosh, 2016, CODS.

Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2020, Journal of Computer Science and Technology.

Enhanced Bayesian Network Models for Spatial Time Series Prediction - Recent Research Trend in Data-Driven Predictive Analytics

Monidipa Das, Soumya K. Ghosh, Soumya K. Ghosh, 2019, Studies in Computational Intelligence.

Semantic Bayesian Network

Monidipa Das, Soumya K. Ghosh, 2020 .

Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach

Monidipa Das, Soumya K. Ghosh, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

Spatial Bayesian Network

Monidipa Das, Soumya K. Ghosh, 2020 .

Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach

Monidipa Das, Soumya K. Ghosh, Soumya K. Ghosh, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Spatio-temporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graph-based Approach

Monidipa Das, Soumya K. Ghosh, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Comparative Study of Parameter Learning Complexities of Enhanced Bayesian Networks

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2019, Studies in Computational Intelligence.

Real-time prediction of spatial raster time series: a context-aware autonomous learning model

Monidipa Das, Monidipa Das, 2021, Journal of Real-Time Image Processing.