Neelamadhab Padhy

50 papers C 1Journal 37Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of a Perturbed Rectangular Patch Antenna with Machine Learning Tactics for 28 GHz Applications. Wirel. Pers. Commun. Ribhu Abhusan Panda, Asish Kumar Patnaik, Neelamadhab Padhy
2025	J	`jnl`	An effective steganographic technique for hiding the image data using the LSB technique. Cyber Secur. Appl. Rasmita Panigrahi, Neelamadhab Padhy
2025	J	`jnl`	DDOS Attack Detection and Performance Analysis in IOT Network using Machine Learning Approaches. Scalable Comput. Pract. Exp. Depriya Panda, Neelamadhab Padhy, Kavita Sharma
2024	—	`conf`	Code Smell Detection Using Deep Learning Models to Enhance the Software Quality. CoCoLe Usha Kiran, Neelamadhab Padhy, Rasmita Panigrahi
2024	J	`jnl`	Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. Comput. Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, Sachin Kumar
2024	C	`conf`	Crop Disease Prediction Using Deep Learning in a Federated Learning Environment: Ensuring Data Privacy and Agricultural Sustainability. ICDS Sadananda Behera, Neelamadhab Padhy, Rasmita Panigrahi, Sanjay Kumar Kuanar
2024	—	`conf`	Crop Identification by Using Machine Learning Classification Algorithm. CoCoLe Sunil Bag, Neelamadhab Padhy, Rasmita Panigrahi
2024	J	`jnl`	Exploring explainable AI methods for bird sound-based species recognition systems. Multim. Tools Appl. Nabanita Das, Neelamadhab Padhy, Nilanjan Dey, Hrithik Paul, Soumalya Chowdhury
2023	—	`conf`	A Hybrid Approach to Enhance Software Quality by Sentiment Analysis of Developer. CoCoLe Archana Patnaik, Neelamadhab Padhy
2023	J	`jnl`	Deep Transfer Learning-Based Automated Identification of Bird Song. Int. J. Interact. Multim. Artif. Intell. Nabanita Das, Neelamadhab Padhy, Nilanjan Dey, Sudipta Bhattacharya, João Manuel R. S. Tavares
2023	J	`jnl`	IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture. Comput. Murali Krishna Senapaty, Abhishek Ray, Neelamadhab Padhy
2023	—	`conf`	Stock Market Prediction Performance Analysis by Using Machine Learning Regressor Techniques. CoCoLe Neelamadhab Padhy, Srinivasarao Dharmireddi, Dushmanta Kumar Padhy, R. Saikrishna, K. Srujan Raju
2022	J	`jnl`	A deep autoencoder approach for detection of brain tumor images. Comput. Electr. Eng. Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Ashish Singh
2022	—	`conf`	An Empirical Study to Enhance the Accuracy of an Ensemble Learning Model for Crop Recommendation System by Using Bit-Fusion Algorithm. MIND (1) Shraban Kumar Apat, Jyotirmaya Mishra, Neelamadhab Padhy, V. Madhusudan Rao
2022	J	`jnl`	An Ensemble Approach for Prediction of Cardiovascular Disease Using Meta Classifier Boosting Algorithms. Int. J. Data Warehous. Min. Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah
2022	J	`jnl`	An RHMIoT Framework for Cardiovascular Disease Prediction and Severity Level Using Machine Learning and Deep Learning Algorithms. Int. J. Ambient Comput. Intell. Sibo Prasad Patro, Neelamadhab Padhy
2022	J	`jnl`	An improved ensemble learning approach for the prediction of cardiovascular disease using majority voting prediction. Int. J. Model. Identif. Control. Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah
2022	—	`conf`	Anticipation of Heart Disease Using Improved Optimization Techniques. CoCoLe Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah
2022	J	`jnl`	Brain Tumor Classification Using Dense Efficient-Net. Axioms Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Mikhail L. Zymbler, Sachin Kumar
2022	J	`jnl`	Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Comput. Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, Dilip Kumar Bagal, Sachin Kumar
2022	J	`jnl`	Building of an edge enabled drone network ecosystem for bird species identification. Ecol. Informatics Nabanita Das, Neelamadhab Padhy, Nilanjan Dey, Amartya Mukherjee, Ananjan Maiti
2022	—	`conf`	Classification model for heart disease prediction using correlation and feature selection techniques. OCIT Sibo Prasad Patro, Neelamadhab Padhy, Rahul Deo Sah
2022	J	`jnl`	Local binary pattern-based reversible data hiding. CAAI Trans. Intell. Technol. Monalisa Sahu, Neelamadhab Padhy, Sasanko Sekhar Gantayat, Aditya Kumar Sahu
2022	J	`jnl`	Machine learning approach for corona virus disease extrapolation: A case study. Int. J. Knowl. Based Intell. Eng. Syst. Kadali Dileep Kumar, Remani Naga Venkata Jagan Mohan, Neelamadhab Padhy, Suresh Chandra Satapathy, Nagesh Salimath, Rahul Deo Sah
2022	J	`jnl`	Multi-directional PVD steganography avoiding PDH and boundary issue. J. King Saud Univ. Comput. Inf. Sci. Monalisa Sahu, Neelamadhab Padhy, Sasanko Sekhar Gantayat
2022	J	`jnl`	Will the Customer Survive or Not in the Organization?: A Perspective of Churn Prediction Using Supervised Learning. Int. J. Open Source Softw. Process. Neelamadhab Padhy, Sanskruti Panda, Jigyashu Suraj
2021	—	`conf`	A Bibliometric and Co-occurrence Analysis of Speech Processing Literature Published from the Year 2015 to mid of June 2021. DSMLAI Nabanita Das, Neelamadhab Padhy
2021	J	`jnl`	A Hybrid Approach to Identify Code Smell Using Machine Learning Algorithms. Int. J. Open Source Softw. Process. Archana Patnaik, Neelamadhab Padhy
2021	J	`jnl`	Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning. Evol. Intell. Sibo Prasad Patro, Neelamadhab Padhy, Dukuru Chiranjevi
2021	—	`conf`	Does Code Complexity Affect the Quality of Real-Time Projects?: Detection of Code Smell on Software Projects using Machine Learning Algorithms. DSMLAI Archana Patnaik, Neelamadhab Padhy
2021	J	`jnl`	Fundamentals, present and future perspectives of speech enhancement. Int. J. Speech Technol. Nabanita Das, Sayan Chakraborty, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey
2021	J	`jnl`	Prognosticate of the financial market utilizing ensemble-based conglomerate model with technical indicators. Evol. Intell. Dushmanta Kumar Padhi, Neelamadhab Padhy
2021	J	`jnl`	Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models. Evol. Intell. Neelamadhab Padhy, Rasmita Panigrahi, K. Neeraja
2020	J	`jnl`	An automation API for authentication and security for file uploads in the cloud storage environment. Intell. Decis. Technol. Neelamadhab Padhy, Raman Kumar Mishra, Suresh Chandra Satapathy, K. Srujan Raju
2020	J	`jnl`	Archival solution API to upload bulk file and managing the data in cloud storage. Int. J. Intell. Def. Support Syst. Neelamadhab Padhy, Raman Kumar Mishra, Samaresh Mishra
2020	—	`ch.`	Machine Learning Models for Bird Species Recognition Based on Vocalization: A Succinct Review. Information Technology and Intelligent Transportation Systems Nabanita Das, Atreyee Mondal, Jyotismita Chaki, Neelamadhab Padhy, Nilanjan Dey
2019	J	`jnl`	Complexity estimation by using multiparadigm approach: a proposed metrics and algorithms. Int. J. Netw. Virtual Organisations Neelamadhab Padhy, Suresh Chandra Satapathy, R. P. Singh
2019	J	`jnl`	Cost-effective and fault-resilient reusability prediction model by using adaptive genetic algorithm based neural network for web-of-service applications. Clust. Comput. Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy
2019	J	`jnl`	Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation. Clust. Comput. Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy
2019	J	`jnl`	Estimation of complexity by using an object oriented metrics approach and its proposed algorithm and models. Int. J. Netw. Virtual Organisations Neelamadhab Padhy, Suresh Chandra Satapathy, R. P. Singh
2019	J	`jnl`	Software Reusability Metrics Estimation From the Social Media by Using Evolutionary Algorithms: Refactoring Prospective. Int. J. Open Source Softw. Process. Rasmita Panigrahi, Neelamadhab Padhy, Suresh Chandra Satapathy
2019	J	`jnl`	Software reusability metrics prediction and cost estimation by using machine learning algorithms. Int. J. Knowl. Based Intell. Eng. Syst. Rasmita Panigrahi, Sanjay K. Kuanar, Lov Kumar, Neelamadhab Padhy, Suresh Chandra Satapathy
2018	J	`jnl`	Software reusability metrics estimation: Algorithms, models and optimization techniques. Comput. Electr. Eng. Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy
2018	J	`jnl`	Software reusability metrics prediction by using evolutionary algorithms: The interactive mobile learning application RozGaar. Int. J. Knowl. Based Intell. Eng. Syst. Neelamadhab Padhy, Suresh Chandra Satapathy, Jnyana Ranjan Mohanty, Rasmita Panigrahi
2018	J	`jnl`	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 Neelamadhab Padhy, R. P. Singh, Suresh Chandra Satapathy
2014	—	`conf`	An Efficient Approach of Multi-Relational Data Mining and Statistical Technique. FICTA (1) Neelamadhab Padhy, Rasmita Panigrahi
2014	—	`conf`	The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics. FICTA (2) Rasmita Panigrahi, Sarada Baboo, Neelamadhab Padhy
2012	J	`jnl`	Data Mining: A prediction Technique for the workers in the PR Department of Orissa (Block and Panchayat) CoRR Neelamadhab Padhy, Rasmita Panigrahi
2012	J	`jnl`	Multi Relational Data Mining Approaches: A Data Mining Technique CoRR Neelamadhab Padhy, Rasmita Panigrahi
2012	J	`jnl`	The Survey of Data Mining Applications And Feature Scope CoRR Neelamadhab Padhy, Pragnyaban Mishra, Rasmita Panigrahi