Neelamadhab Padhy

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 35

Top Topics

Learning Algorithm

Technical Indicators

Cardiovascular Disease

Top Venues

Int. J. Knowl. Based Intell. Eng. Syst.

Int. J. Open Source Softw. Process.

Publications

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) (2024)
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) (2024)
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) (2023)
Murali Krishna Senapaty, Abhishek Ray, Neelamadhab Padhy
IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture. Comput. 12 (3) (2023)
Monalisa Sahu, Neelamadhab Padhy, Sasanko Sekhar Gantayat
Multi-directional PVD steganography avoiding PDH and boundary issue. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue) (2022)
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) (2022)
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar
Brain Tumor Classification Using Dense Efficient-Net. Axioms 11 (1) (2022)
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) (2022)
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Ashish Singh
A deep autoencoder approach for detection of brain tumor images. Comput. Electr. Eng. 102 (2022)
Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah
Classification model for heart disease prediction using correlation and feature selection techniques. OCIT (2022)
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) (2022)
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) (2022)
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) (2022)
Monalisa Sahu, Neelamadhab Padhy, Sasanko Sekhar Gantayat, Aditya Kumar Sahu
Local binary pattern-based reversible data hiding. CAAI Trans. Intell. Technol. 7 (4) (2022)
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) (2022)
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 (2022)
Archana Patnaik, Neelamadhab Padhy
A Hybrid Approach to Identify Code Smell Using Machine Learning Algorithms. Int. J. Open Source Softw. Process. 12 (2) (2021)
Sibo Prasad Patro, Neelamadhab Padhy, Dukuru Chiranjevi
Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning. Evol. Intell. 14 (2) (2021)
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)
Dushmanta Kumar Padhi, Neelamadhab Padhy
Prognosticate of the financial market utilizing ensemble-based conglomerate model with technical indicators. Evol. Intell. 14 (2) (2021)
Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey
Fundamentals, present and future perspectives of speech enhancement. Int. J. Speech Technol. 24 (4) (2021)
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)
Neelamadhab Padhy, Rasmita Panigrahi, K. Neeraja
Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models. Evol. Intell. 14 (2) (2021)
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) (2020)
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) (2020)
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) (2020)
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) (2019)
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) (2019)
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) (2019)
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) (2019)
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) (2019)
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) (2019)
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) (2018)
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) (2018)
Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy
Software reusability metrics estimation: Algorithms, models and optimization techniques. Comput. Electr. Eng. 69 (2018)
Rasmita Panigrahi, Sarada Baboo, Neelamadhab Padhy
The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics. FICTA (2) (2014)
Neelamadhab Padhy, Rasmita Panigrahi
An Efficient Approach of Multi-Relational Data Mining and Statistical Technique. FICTA (1) (2014)
Neelamadhab Padhy, Rasmita Panigrahi
Multi Relational Data Mining Approaches: A Data Mining Technique CoRR (2012)
Neelamadhab Padhy, Rasmita Panigrahi
Data Mining: A prediction Technique for the workers in the PR Department of Orissa (Block and Panchayat) CoRR (2012)
Neelamadhab Padhy, Pragnyaban Mishra, Rasmita Panigrahi
The Survey of Data Mining Applications And Feature Scope CoRR (2012)