Author

Pradeep Kumar Mahapatro

Observed name: Pradeeep Kumar Mahapatro

Institutions: GIET University, Aditya Institute of Technology and Management

Observed institutions: GIET University, Aditya Institute of Technology and Management

ORCID: 0009-0009-0029-6167

Observed ORCID: 0009-0009-0029-6167

OpenAlex ID: A5073718536

Integrated Internet of Things and Artificial Intelligence System for Real-Time Multi-Nutrient Water Quality Analysis in Agriculture

2024 · Pradeep Kumar Mahapatro, Rasmita Panigrahi, et al. · 9

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Reviewing the Landscape: Component-Based Software Engineering Practices and Challenges

2024 · Pradeep Kumar Mahapatro, Neelamadhab Padhy · International Conference on Emerging Systems and Intelligent Computing (ESIC) · 4

Optimizing Crop Recommendation through Stacking and Feature Analysis of Ensemble Classifiers

2025 · Pradeep Kumar Mahapatro, Rasmita Panigrahi, et al. · International Conference on Emerging Systems and Intelligent Computing (ESIC) · 2

Comparative Evaluation of Machine Learning Classifiers for Breast Cancer Diagnosis: A Comprehensive Statistical Analysis

2026 · Sambit Subhankar Das, Atal Mahaprasad, et al. · International Electronic Conference on Applied Sciences (ASEC) · 1

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Cartpole Balancer Using Deep Q-Network

2025 · Pradeep Kumar Mahapatro, Pasina Yaswanth, et al. · IEEE Wireless Antenna and Microwave Symposium (WAMS) · 1

Enhanced Health Care System with Chatbot and Voicebot Using Deep Learning

2025 · Pradeep Kumar Mahapatro, Karakavalasa Sreedhar, et al. · IEEE Wireless Antenna and Microwave Symposium (WAMS) · 1

Anomaly Detection in High-Dimensional Data Streams Using Machine Learning and Deep Learning Classifiers

2025 · Chiranjeevi Jami, Kumar Sekhar Yetcherla, et al. · IEEE Wireless Antenna and Microwave Symposium (WAMS) · 1

Performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction

2025 · Kurman Sangeeta, Sumitra Kisan, et al. · Communications in computer and information science · 1

An In-Depth Comparative Analysis of Machine Learning Models for Soil Fertility Prediction

2026 · Harmesh Behera, Bibhukalyan Nayak, et al. · International Electronic Conference on Applied Sciences (ASEC)

Secure and Collaborative Crop Disease Prediction with Federated Deep Learning: Safeguarding Data Sovereignty in Agriculture

2026 · Sadananda Behera, Neelamadhab Padhy, et al. · Routledge eBooks

Crop Yield Prediction Using Federated Learning: A Privacy-Preserving Approach for Decentralized Agriculture Data

2026 · Satyajit Pujapanda, Sriya Mishra, et al. · International Conference on Emerging Systems and Intelligent Computing (ESIC)

Does Sampling Improve the Precision-Recall Trade-off in Fraud Detection Systems? An Empirical Study Using Ensemble Machine Learning Models

2026 · Chandra Sekhar Dash, Neelamadhab Padhy, et al. · International Conference on Emerging Systems and Intelligent Computing (ESIC)

Exploring Chili Plant Health: A Comprehensive Study Using IoT Sensors and Machine Learning Classifiers

2026 · Kiran Kumar Sahu, Vishal Kumar Swain, et al. · Lecture notes in networks and systems

An IoT Based Intelligent and Real-Time Parking Management System

2026 · Sibo Prasad Patro, Rasmita Gantayet, et al. · Lecture notes in networks and systems

Secure and Sovereign Deep Learning for Plant Disease Detection: A Transfer Learning Approach with DenseNet121

2026 · Pradeep Kumar Mahapatro, Rasmita Panigrahi, et al. · Procedia Computer Science

Towards Sovereign Digital Ecosystems in Agriculture: A Federated Learning Approach for Crop Recommendation from Fused Soil Datasets

2026 · Dasaradha Arangi, Neelamadhab Padhy, et al. · Springer proceedings in complexity

Predictive Quality Management in Nepalese Attention-Enhanced Lightweight YOLOv8 Framework for Real-Time Weed Detection in Precision Agriculture

2026 · Pradeep Kumar Mahapatro, Rasmita Panigrahi, et al. · International Journal of Artificial Intelligence and Machine Learning

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Mathematical Framework for Sampling Technique Selection in Financial Fraud Detection: Experimental Validation of SMOTE and ADASYN

2025 · Sangita Mishra, Neelamadhab Padhy, et al. · OITS International Conference on Information Technology (OCIT)

Enhancing Classification Performance in Health Condition Prediction: A Comparative Study of Machine Learning Models with SMOTE and Sensitivity Trade-Off Analysis

2025 · Rasmita Panigrahi, Neelamadhab Padhy, et al. · OITS International Conference on Information Technology (OCIT)

Language Prediction and Text Emotion Analysis by Utilizing Machine Learning Concepts and Algorithms

2025 · Jyotiram Manik, Neelamadhab Padhy, et al. · OITS International Conference on Information Technology (OCIT)

Software cost estimation using AI and Federated Learning

2025 · Tirupati Sahu, Neelamadhab Padhy, et al. · IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)

Fuel Consumption Prediction Using Machine Learning: A Data-Driven Approach

2025 · Biswajit Mahakhud, Pedina Sasi Kiran, et al.

Improving Cross-Project Defect Prediction Through Feature Selection and Model Optimization

2025 · Usha Kiran, Neelamadhab Padhy, et al.

Evaluating Machine Learning Algorithms for Environmental Impact Prediction

2025 · Debasish Pradhan, Shibani Subhadarshini, et al. · IEEE Wireless Antenna and Microwave Symposium (WAMS)

Comparative Analysis of Optimization Techniques and Hybrid Classification Models for Enhanced Soil Fertility Prediction

2024 · Pradeep Kumar Mahapatro, Rasmita Panigrahi, et al. · International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)

Works count: 26

Citation count: 20

H-index: 2

I10-index: