Lopamudra Dey

Orcid: 0000-0002-8114-780X

According to our database1, Lopamudra Dey authored at least 15 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A study and comparison of deep learning based potato leaf disease detection and classification techniques using explainable AI.
Multim. Tools Appl., April, 2024

Cricket data analytics: Forecasting T20 match winners through machine learning.
Int. J. Knowl. Based Intell. Eng. Syst., 2024

2023
Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model.
CoRR, 2023

A GUI-Based Approach to Predict Heart Disease Using Machine Learning Algorithms and Flask API.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022
Compact Genetic Algorithm-Based Feature Selection for Sequence-Based Prediction of Dengue-Human Protein Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Facial Emotion Recognition in Static and Live Streaming Image Dataset Using CNN.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2022

2021
Gene Expression-Based Prediction of Lung Cancer-Associated Protein-Protein Interactions.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2021

2020
A Graph-Based Approach for Finding the Dengue Infection Pathways in Humans Using Protein-Protein Interactions.
J. Comput. Biol., 2020

2016
A rule based probabilistic technique for malware code detection.
Multiagent Grid Syst., 2016

Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier.
CoRR, 2016

Ternary Quantum Circuit for Color Image Representation.
Proceedings of the Advanced Computing and Systems for Security, 2016

2015
Weather forecasting using Convex hull & K-Means Techniques An Approach.
CoRR, 2015

2014
Canonical PSO Based k-Means Clustering Approach for Real Datasets.
CoRR, 2014

Weather Forecasting using Incremental K-means Clustering.
CoRR, 2014

Performance Comparison of Incremental K-means and Incremental DBSCAN Algorithms.
CoRR, 2014


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