Multi Relational Data Mining Approaches: A Data Mining Technique - Neelamadhab Padhy; Rasmita Panigrahi (CoRR, 2012)

The Survey of Data Mining Applications And Feature Scope - Neelamadhab Padhy; Pragnyaban Mishra; Rasmita Panigrahi (CoRR, 2012)

Data Mining: A prediction Technique for the workers in the PR Department of Orissa (Block and Panchayat) - Neelamadhab Padhy; Rasmita Panigrahi (CoRR, 2012)

An Efficient Approach of Multi-Relational Data Mining and Statistical Technique. - Neelamadhab Padhy; Rasmita Panigrahi (FICTA (1), 2014)

The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics. - Rasmita Panigrahi; Sarada Baboo; Neelamadhab Padhy (FICTA (2), 2014)

Software reusability metrics estimation: Algorithms, models and optimization techniques. - Neelamadhab Padhy; R. P. Singh; Suresh Chandra Satapathy (Comput. Electr. Eng., 2018)

Utility of an object-oriented metrics component: examining the feasibility of .Net and C# object-oriented program from the perspective of mobile learning. - Neelamadhab Padhy; R. P. Singh; Suresh Chandra Satapathy (Int. J. Mob. Learn. Organisation, 2018)

Software reusability metrics prediction by using evolutionary algorithms: The interactive mobile learning application RozGaar. - Neelamadhab Padhy; Suresh Chandra Satapathy; Jnyana Ranjan Mohanty; Rasmita Panigrahi (Int. J. Knowl. Based Intell. Eng. Syst., 2018)

Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications. - Neelamadhab Padhy; R. P. Singh; Suresh Chandra Satapathy (Clust. Comput., 2019)

Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation. - Neelamadhab Padhy; R. P. Singh; Suresh Chandra Satapathy (Clust. Comput., 2019)

Estimation of complexity by using an object oriented metrics approach and its proposed algorithm and models. - Neelamadhab Padhy; Suresh Chandra Satapathy; R. P. Singh (Int. J. Netw. Virtual Organisations, 2019)

Complexity estimation by using multiparadigm approach: a proposed metrics and algorithms. - Neelamadhab Padhy; Suresh Chandra Satapathy; R. P. Singh (Int. J. Netw. Virtual Organisations, 2019)

Software Reusability Metrics Estimation From the Social Media by Using Evolutionary Algorithms: Refactoring Prospective. - Rasmita Panigrahi; Neelamadhab Padhy; Suresh Chandra Satapathy (Int. J. Open Source Softw. Process., 2019)

Software reusability metrics prediction and cost estimation by using machine learning algorithms. - Rasmita Panigrahi; Sanjay K. Kuanar; Lov Kumar; Neelamadhab Padhy; Suresh Chandra Satapathy (Int. J. Knowl. Based Intell. Eng. Syst., 2019)

An automation API for authentication and security for file uploads in the cloud storage environment. - Neelamadhab Padhy; Raman Kumar Mishra; Suresh Chandra Satapathy; K. Srujan Raju (Intell. Decis. Technol., 2020)

Archival solution API to upload bulk file and managing the data in cloud storage. - Neelamadhab Padhy; Raman Kumar Mishra; Samaresh Mishra (Int. J. Intell. Def. Support Syst., 2020)

Malicious node detection using heterogeneous cluster based secure routing protocol (HCBS) in wireless adhoc sensor networks. - V. Gomathy; Neelamadhab Padhy; Debabrata Samanta; M. Sivaram 001; Vishal Jain; Iraj Sadegh Amiri (J. Ambient Intell. Humaniz. Comput., 2020)

Machine Learning Models for Bird Species Recognition Based on Vocalization: A Succinct Review. - Nabanita Das 003; Atreyee Mondal; Jyotismita Chaki; Neelamadhab Padhy; Nilanjan Dey (Information Technology and Intelligent Transportation Systems, 2020)

A Bibliometric and Co-occurrence Analysis of Speech Processing Literature Published from the Year 2015 to mid of June 2021. - Nabanita Das 003; Neelamadhab Padhy (DSMLAI, 2021)

Does Code Complexity Affect the Quality of Real-Time Projects?: Detection of Code Smell on Software Projects using Machine Learning Algorithms. - Archana Patnaik; Neelamadhab Padhy (DSMLAI, 2021)

Prognosticate of the financial market utilizing ensemble-based conglomerate model with technical indicators. - Dushmanta Kumar Padhi; Neelamadhab Padhy (Evol. Intell., 2021)

Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models. - Neelamadhab Padhy; Rasmita Panigrahi; K. Neeraja (Evol. Intell., 2021)

Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning. - Sibo Prasad Patro; Neelamadhab Padhy; Dukuru Chiranjevi (Evol. Intell., 2021)

A Hybrid Approach to Identify Code Smell Using Machine Learning Algorithms. - Archana Patnaik; Neelamadhab Padhy (Int. J. Open Source Softw. Process., 2021)

Fundamentals, present and future perspectives of speech enhancement. - Nabanita Das 003; Sayan Chakraborty; Jyotismita Chaki; Neelamadhab Padhy; Nilanjan Dey (Int. J. Speech Technol., 2021)

Classification model for heart disease prediction using correlation and feature selection techniques. - Sibo Prasad Patro; Neelamadhab Padhy; Rahul Deo Sah (OCIT, 2022)

Anticipation of Heart Disease Using Improved Optimization Techniques. - Sibo Prasad Patro; Neelamadhab Padhy; Rahul Deo Sah (CoCoLe, 2022)

Brain Tumor Classification Using Dense Efficient-Net. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Mikhail L. Zymbler; Sachin Kumar 001 (Axioms, 2022)

A deep autoencoder approach for detection of brain tumor images. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Ashish Singh (Comput. Electr. Eng., 2022)

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Dilip Kumar Bagal; Sachin Kumar 001 (Comput., 2022)

Building of an edge enabled drone network ecosystem for bird species identification. - Nabanita Das 003; Neelamadhab Padhy; Nilanjan Dey; Amartya Mukherjee; Ananjan Maiti (Ecol. Informatics, 2022)

An RHMIoT Framework for Cardiovascular Disease Prediction and Severity Level Using Machine Learning and Deep Learning Algorithms. - Sibo Prasad Patro; Neelamadhab Padhy (Int. J. Ambient Comput. Intell., 2022)

An improved ensemble learning approach for the prediction of cardiovascular disease using majority voting prediction. - Sibo Prasad Patro; Neelamadhab Padhy; Rahul Deo Sah (Int. J. Model. Identif. Control., 2022)

Will the Customer Survive or Not in the Organization?: A Perspective of Churn Prediction Using Supervised Learning. - Neelamadhab Padhy; Sanskruti Panda; Jigyashu Suraj (Int. J. Open Source Softw. Process., 2022)

Multi-directional PVD steganography avoiding PDH and boundary issue. - Monalisa Sahu; Neelamadhab Padhy; Sasanko Sekhar Gantayat (J. King Saud Univ. Comput. Inf. Sci., 2022)

Machine learning approach for corona virus disease extrapolation: A case study. - Kadali Dileep Kumar; Remani Naga Venkata Jagan Mohan; Neelamadhab Padhy; Suresh Chandra Satapathy; Nagesh Salimath; Rahul Deo Sah (Int. J. Knowl. Based Intell. Eng. Syst., 2022)

An Ensemble Approach for Prediction of Cardiovascular Disease Using Meta Classifier Boosting Algorithms. - Sibo Prasad Patro; Neelamadhab Padhy; Rahul Deo Sah (Int. J. Data Warehous. Min., 2022)

Local binary pattern-based reversible data hiding. - Monalisa Sahu; Neelamadhab Padhy; Sasanko Sekhar Gantayat; Aditya Kumar Sahu (CAAI Trans. Intell. Technol., 2022)

Stock Market Prediction Performance Analysis by Using Machine Learning Regressor Techniques. - Neelamadhab Padhy; Srinivasarao Dharmireddi; Dushmanta Kumar Padhy; R. Saikrishna; K. Srujan Raju (CoCoLe, 2023)

A Hybrid Approach to Enhance Software Quality by Sentiment Analysis of Developer. - Archana Patnaik; Neelamadhab Padhy (CoCoLe, 2023)

Deep Transfer Learning-Based Automated Identification of Bird Song. - Nabanita Das 003; Neelamadhab Padhy; Nilanjan Dey; Sudipta Bhattacharya; João Manuel R. S. Tavares (Int. J. Interact. Multim. Artif. Intell., 2023)

IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture. - Murali Krishna Senapaty; Abhishek Ray; Neelamadhab Padhy (Comput., 2023)

Crop Identification by Using Machine Learning Classification Algorithm. - Sunil Bag; Neelamadhab Padhy; Rasmita Panigrahi (CoCoLe, 2024)

Code Smell Detection Using Deep Learning Models to Enhance the Software Quality. - Usha Kiran; Neelamadhab Padhy; Rasmita Panigrahi (CoCoLe, 2024)

Crop Disease Prediction Using Deep Learning in a Federated Learning Environment: Ensuring Data Privacy and Agricultural Sustainability. - Sadananda Behera; Neelamadhab Padhy; Rasmita Panigrahi; Sanjay Kumar Kuanar (ICDS, 2024)

Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Dilip Kumar Bagal; Sachin Kumar 001 (Comput., 2024)

Exploring explainable AI methods for bird sound-based species recognition systems. - Nabanita Das 003; Neelamadhab Padhy; Nilanjan Dey; Hrithik Paul; Soumalya Chowdhury (Multim. Tools Appl., 2024)

An effective steganographic technique for hiding the image data using the LSB technique. - Rasmita Panigrahi; Neelamadhab Padhy (Cyber Secur. Appl., 2025)

DDOS Attack Detection and Performance Analysis in IOT Network using Machine Learning Approaches. - Depriya Panda; Neelamadhab Padhy; Kavita Sharma 006 (Scalable Comput. Pract. Exp., 2025)