Neelamadhab Padhy

Orcid: 0000-0002-8512-3469

According to our database1, Neelamadhab Padhy authored at least 39 papers between 2012 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10.
Comput., 2024

2023
IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture.
Comput., March, 2023

Deep Transfer Learning-Based Automated Identification of Bird Song.
Int. J. Interact. Multim. Artif. Intell., 2023

2022
Local binary pattern-based reversible data hiding.
CAAI Trans. Intell. Technol., December, 2022

Machine learning approach for corona virus disease extrapolation: A case study.
Int. J. Knowl. Based Intell. Eng. Syst., 2022

Multi-directional PVD steganography avoiding PDH and boundary issue.
J. King Saud Univ. Comput. Inf. Sci., 2022

Will the Customer Survive or Not in the Organization?: A Perspective of Churn Prediction Using Supervised Learning.
Int. J. Open Source Softw. Process., 2022

An improved ensemble learning approach for the prediction of cardiovascular disease using majority voting prediction.
Int. J. Model. Identif. Control., 2022

An RHMIoT Framework for Cardiovascular Disease Prediction and Severity Level Using Machine Learning and Deep Learning Algorithms.
Int. J. Ambient Comput. Intell., 2022

Building of an edge enabled drone network ecosystem for bird species identification.
Ecol. Informatics, 2022

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches.
Comput., 2022

A deep autoencoder approach for detection of brain tumor images.
Comput. Electr. Eng., 2022

Brain Tumor Classification Using Dense Efficient-Net.
Axioms, 2022

Classification model for heart disease prediction using correlation and feature selection techniques.
Proceedings of the OITS International Conference on Information Technology, 2022

2021
Fundamentals, present and future perspectives of speech enhancement.
Int. J. Speech Technol., 2021

A Hybrid Approach to Identify Code Smell Using Machine Learning Algorithms.
Int. J. Open Source Softw. Process., 2021

Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning.
Evol. Intell., 2021

Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models.
Evol. Intell., 2021

Prognosticate of the financial market utilizing ensemble-based conglomerate model with technical indicators.
Evol. Intell., 2021

Does Code Complexity Affect the Quality of Real-Time Projects?: Detection of Code Smell on Software Projects using Machine Learning Algorithms.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

A Bibliometric and Co-occurrence Analysis of Speech Processing Literature Published from the Year 2015 to mid of June 2021.
Proceedings of the DSMLAI '21: International Conference on Data Science, Machine Learning and Artificial Intelligence, Windhoek Namibia, August 9, 2021

2020
Machine Learning Models for Bird Species Recognition Based on Vocalization: A Succinct Review.
Information Technology and Intelligent Transportation Systems, 2020

Malicious node detection using heterogeneous cluster based secure routing protocol (HCBS) in wireless adhoc sensor networks.
J. Ambient Intell. Humaniz. Comput., 2020

Archival solution API to upload bulk file and managing the data in cloud storage.
Int. J. Intell. Def. Support Syst., 2020

An automation API for authentication and security for file uploads in the cloud storage environment.
Intell. Decis. Technol., 2020

2019
Software reusability metrics prediction and cost estimation by using machine learning algorithms.
Int. J. Knowl. Based Intell. Eng. Syst., 2019

Software Reusability Metrics Estimation From the Social Media by Using Evolutionary Algorithms: Refactoring Prospective.
Int. J. Open Source Softw. Process., 2019

Complexity estimation by using multiparadigm approach: a proposed metrics and algorithms.
Int. J. Netw. Virtual Organisations, 2019

Estimation of complexity by using an object oriented metrics approach and its proposed algorithm and models.
Int. J. Netw. Virtual Organisations, 2019

Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation.
Clust. Comput., 2019

Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications.
Clust. Comput., 2019

2018
Software reusability metrics prediction by using evolutionary algorithms: The interactive mobile learning application RozGaar.
Int. J. Knowl. Based Intell. Eng. Syst., 2018

Utility of an object-oriented metrics component: examining the feasibility of .Net and C# object-oriented program from the perspective of mobile learning.
Int. J. Mob. Learn. Organisation, 2018

Software reusability metrics estimation: Algorithms, models and optimization techniques.
Comput. Electr. Eng., 2018

2014
The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

An Efficient Approach of Multi-Relational Data Mining and Statistical Technique.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2012
Data Mining: A prediction Technique for the workers in the PR Department of Orissa (Block and Panchayat)
CoRR, 2012

The Survey of Data Mining Applications And Feature Scope
CoRR, 2012

Multi Relational Data Mining Approaches: A Data Mining Technique
CoRR, 2012


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