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ORCIDNeelamadhab Padhy
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2020 – today
- 2025
[j33]Rasmita Panigrahi, Neelamadhab Padhy
:
An effective steganographic technique for hiding the image data using the LSB technique. Cyber Secur. Appl. 3: 100069 (2025)- 2024
- [j32]Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, Sachin Kumar:
Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. Comput. 13(1): 15 (2024) - [j31]Nabanita Das, Neelamadhab Padhy, Nilanjan Dey, Hrithik Paul, Soumalya Chowdhury:
Exploring explainable AI methods for bird sound-based species recognition systems. Multim. Tools Appl. 83(24): 64223-64253 (2024) - 2023
- [j30]Murali Krishna Senapaty, Abhishek Ray, Neelamadhab Padhy:
IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture. Comput. 12(3): 61 (2023) - [j29]Nabanita Das, Neelamadhab Padhy, Nilanjan Dey, Sudipta Bhattacharya, João Manuel R. S. Tavares:
Deep Transfer Learning-Based Automated Identification of Bird Song. Int. J. Interact. Multim. Artif. Intell. 8(4): 33 (2023) - 2022
- [j28]Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar:
Brain Tumor Classification Using Dense Efficient-Net. Axioms 11(1): 34 (2022) - [j27]Monalisa Sahu, Neelamadhab Padhy, Sasanko Sekhar Gantayat, Aditya Kumar Sahu:
Local binary pattern-based reversible data hiding. CAAI Trans. Intell. Technol. 7(4): 695-709 (2022) - [j26]Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Ashish Singh:
A deep autoencoder approach for detection of brain tumor images. Comput. Electr. Eng. 102: 108238 (2022) - [j25]Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, Sachin Kumar:
Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Comput. 11(1): 10 (2022) - [j24]Nabanita Das, Neelamadhab Padhy, Nilanjan Dey, Amartya Mukherjee, Ananjan Maiti:
Building of an edge enabled drone network ecosystem for bird species identification. Ecol. Informatics 68: 101540 (2022) - [j23]Sibo Prasad Patro, Neelamadhab Padhy:
An RHMIoT Framework for Cardiovascular Disease Prediction and Severity Level Using Machine Learning and Deep Learning Algorithms. Int. J. Ambient Comput. Intell. 13(1): 1-37 (2022) - [j22]Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah:
An improved ensemble learning approach for the prediction of cardiovascular disease using majority voting prediction. Int. J. Model. Identif. Control. 41(1/2): 68-86 (2022) - [j21]Neelamadhab Padhy, Sanskruti Panda, Jigyashu Suraj:
Will the Customer Survive or Not in the Organization?: A Perspective of Churn Prediction Using Supervised Learning. Int. J. Open Source Softw. Process. 13(1): 1-20 (2022) - [j20]Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah:
An Ensemble Approach for Prediction of Cardiovascular Disease Using Meta Classifier Boosting Algorithms. Int. J. Data Warehous. Min. 18(1): 1-29 (2022) - [j19]Monalisa Sahu, Neelamadhab Padhy, Sasanko Sekhar Gantayat:
Multi-directional PVD steganography avoiding PDH and boundary issue. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8838-8851 (2022) - [j18]Kadali Dileep Kumar, Remani Naga Venkata Jagan Mohan, Neelamadhab Padhy, Suresh Chandra Satapathy, Nagesh Salimath, Rahul Deo Sah:
Machine learning approach for corona virus disease extrapolation: A case study. Int. J. Knowl. Based Intell. Eng. Syst. 26(3): 219-227 (2022) - [c5]Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah:
Classification model for heart disease prediction using correlation and feature selection techniques. OCIT 2022: 29-34 - 2021
- [j17]Neelamadhab Padhy, Rasmita Panigrahi, K. Neeraja:
Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models. Evol. Intell. 14(2): 315-329 (2021) - [j16]Sibo Prasad Patro, Neelamadhab Padhy, Dukuru Chiranjevi:
Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning. Evol. Intell. 14(2): 941-969 (2021) - [j15]Dushmanta Kumar Padhi, Neelamadhab Padhy:
Prognosticate of the financial market utilizing ensemble-based conglomerate model with technical indicators. Evol. Intell. 14(2): 1035-1051 (2021) - [j14]Archana Patnaik, Neelamadhab Padhy:
A Hybrid Approach to Identify Code Smell Using Machine Learning Algorithms. Int. J. Open Source Softw. Process. 12(2): 21-35 (2021) - [j13]Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey:
Fundamentals, present and future perspectives of speech enhancement. Int. J. Speech Technol. 24(4): 883-901 (2021) - [c4]Archana Patnaik, Neelamadhab Padhy:
Does Code Complexity Affect the Quality of Real-Time Projects?: Detection of Code Smell on Software Projects using Machine Learning Algorithms. DSMLAI 2021: 178-185 - [c3]Nabanita Das, Neelamadhab Padhy:
A Bibliometric and Co-occurrence Analysis of Speech Processing Literature Published from the Year 2015 to mid of June 2021. DSMLAI 2021: 237-243 - 2020
- [j12]Neelamadhab Padhy, Raman Kumar Mishra, Suresh Chandra Satapathy, K. Srujan Raju:
An automation API for authentication and security for file uploads in the cloud storage environment. Intell. Decis. Technol. 14(3): 393-407 (2020) - [j11]Neelamadhab Padhy, Raman Kumar Mishra, Samaresh Mishra:
Archival solution API to upload bulk file and managing the data in cloud storage. Int. J. Intell. Def. Support Syst. 6(1): 35-59 (2020) - [j10]V. Gomathy, Neelamadhab Padhy, Debabrata Samanta, M. Sivaram, Vishal Jain, Iraj Sadegh Amiri:
Malicious node detection using heterogeneous cluster based secure routing protocol (HCBS) in wireless adhoc sensor networks. J. Ambient Intell. Humaniz. Comput. 11(11): 4995-5001 (2020) - [p1]Nabanita Das, Atreyee Mondal, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey:
Machine Learning Models for Bird Species Recognition Based on Vocalization: A Succinct Review. Information Technology and Intelligent Transportation Systems 2020: 117-124
2010 – 2019
- 2019
- [j9]Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy:
Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications. Clust. Comput. 22(6): 14559-14581 (2019) - [j8]Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy:
Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation. Clust. Comput. 22(Supplement): 9787-9804 (2019) - [j7]Neelamadhab Padhy, Suresh Chandra Satapathy, R. P. Singh:
Estimation of complexity by using an object oriented metrics approach and its proposed algorithm and models. Int. J. Netw. Virtual Organisations 21(1): 43-62 (2019) - [j6]Neelamadhab Padhy, Suresh Chandra Satapathy, R. P. Singh:
Complexity estimation by using multiparadigm approach: a proposed metrics and algorithms. Int. J. Netw. Virtual Organisations 21(2): 201-220 (2019) - [j5]Rasmita Panigrahi, Neelamadhab Padhy, Suresh Chandra Satapathy:
Software Reusability Metrics Estimation From the Social Media by Using Evolutionary Algorithms: Refactoring Prospective. Int. J. Open Source Softw. Process. 10(2): 21-36 (2019) - [j4]Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar, Neelamadhab Padhy, Suresh Chandra Satapathy:
Software reusability metrics prediction and cost estimation by using machine learning algorithms. Int. J. Knowl. Based Intell. Eng. Syst. 23(4): 317-328 (2019) - 2018
- [j3]Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy:
Software reusability metrics estimation: Algorithms, models and optimization techniques. Comput. Electr. Eng. 69: 653-668 (2018) - [j2]Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy:
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 12(3): 263-279 (2018) - [j1]Neelamadhab Padhy, Suresh Chandra Satapathy, Jnyana Ranjan Mohanty, Rasmita Panigrahi:
Software reusability metrics prediction by using evolutionary algorithms: The interactive mobile learning application RozGaar. Int. J. Knowl. Based Intell. Eng. Syst. 22(4): 261-276 (2018) - 2014
- [c2]Neelamadhab Padhy, Rasmita Panigrahi:
An Efficient Approach of Multi-Relational Data Mining and Statistical Technique. FICTA (1) 2014: 99-111 - [c1]Rasmita Panigrahi, Sarada Baboo, Neelamadhab Padhy:
The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics. FICTA (2) 2014: 605-618 - 2012
- [i3]Neelamadhab Padhy, Rasmita Panigrahi:
Multi Relational Data Mining Approaches: A Data Mining Technique. CoRR abs/1211.3871 (2012) - [i2]Neelamadhab Padhy, Pragnyaban Mishra, Rasmita Panigrahi:
The Survey of Data Mining Applications And Feature Scope. CoRR abs/1211.5723 (2012) - [i1]Neelamadhab Padhy, Rasmita Panigrahi:
Data Mining: A prediction Technique for the workers in the PR Department of Orissa (Block and Panchayat). CoRR abs/1211.5724 (2012)
Coauthor Index
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