Biswaranjan Senapati Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
SCIENTISTS
faculty
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Biswaranjan Senapati's research focuses on the application of artificial intelligence and machine learning techniques across various domains. His recent publications include work on heart disease detection using sensor data and artificial neural networks, and the development of transfer learning models for food detection. Senapati has also investigated deep learning approaches for predictive maintenance in industrial manufacturing and explored an agentic AI framework for reliable retail systems. Further research interests include intelligent road management systems and the prediction of object communication errors in software development. He has also examined the effectiveness of flipped classrooms using linear regression.
Senapati's work encompasses the intersection of computer science, engineering, and applied sciences. His scholarly output includes 54 publications with 286 citations, and an h-index of 11. He is actively publishing, with recent work appearing in 2023 and 2024, and a publication slated for 2025.
Metrics
- h-index: 11
- Publications: 54
- Citations: 308
Selected Publications
-
Z-test in the Study of Student Engagement in Online Education: Mobile Application and Web Version (2025)
-
Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test (2025)
-
The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test (2025)
-
Correlation and Regression Analysis of Student Grades and Predicting Academic Performance (2025)
-
Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning (2025)
-
Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning (2025)
-
Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey's Post-Hoc Test (2025)
-
Fuzzy C-Means: A Fuzzy Approach to Clustering in Educational Contexts (2025)
-
Secure Encryption Model for Sensitive Data from Text Files (2025)
-
Machine Learning Approaches for Predictive Maintenance in Wireless Sensor Networks (2025)
-
Retail Resilience Engine: An Agentic AI Framework for Building Reliable Retail Systems With Test-Driven Development Approach (2025)
-
Enhancing Real-Time Multilingual Communication in Virtual Meetings through Optimized WebRTC Broadcasting (2024)
-
Application of Chi-Square Test in E-learning to Assess the Association Between Variables (2024)
-
Assessment of Enterprise Efficiency Factors Affecting Its ESG Rating (2024)
-
Construction, Validation and Standardization of Mathematical Phobia Scale (2024)
Collaboration Network
Top Collaborators
- Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach
- Transfer Learning Based Models for Food Detection Using ResNet-50
- Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles
- Constructor Development: Predicting Object Communication Errors
- In MANET: An Improved Hybrid Routing Approach for Disaster Management
Showing 5 of 15 shared publications
- Evaluating the Effectiveness of Flipped Classrooms Using Linear Regression
- Automatic Generation of an Algebraic Expression for a Boolean Function in the Basis {∧, ∨, ¬}
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Toward the Application of Japanese Candlesticks for Visual Analysis of Student Academic Performance
- Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning
Showing 5 of 14 shared publications
- Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach
- Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles
- Privacy-Preserving and Lightweight V2I and V2V Authentication Protocol Using Blockchain Technology
- WITHDRAWN: Hybrid Architecture for Secure Data Communication Within the Private Cloud
- WITHDRAWN: Hybrid Architecture for Secure Data Communication Within the Private Cloud
Showing 5 of 6 shared publications
- Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test
- Fuzzy C-Means: A Fuzzy Approach to Clustering in Educational Contexts
- Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey's Post-Hoc Test
- Correlation and Regression Analysis of Student Grades and Predicting Academic Performance
- The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test
Showing 5 of 6 shared publications
- Effectiveness of Gamification in E-Learning: A Comparative Analysis Based on Student’s T-test
- Fuzzy C-Means: A Fuzzy Approach to Clustering in Educational Contexts
- Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey's Post-Hoc Test
- Correlation and Regression Analysis of Student Grades and Predicting Academic Performance
- The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test
Showing 5 of 6 shared publications
- Constructor Development: Predicting Object Communication Errors
- In MANET: An Improved Hybrid Routing Approach for Disaster Management
- Privacy-Preserving and Lightweight V2I and V2V Authentication Protocol Using Blockchain Technology
- Multi-Source Cyber Intrusion Detection Using Ensemble Machine Learning
- Quantum Computing and Its Potential Disruption to Data Centers and Edge Computing in Battery Cell Manufacturing Sites
- In MANET: An Improved Hybrid Routing Approach for Disaster Management
- Wrist Crack Classification Using Deep Learning and X-Ray Imaging
- Privacy-Preserving and Lightweight V2I and V2V Authentication Protocol Using Blockchain Technology
- Multi-Source Cyber Intrusion Detection Using Ensemble Machine Learning
- Wrist Crack Classification Using Deep Learning and X-Ray Imaging
- Striving for Symbiosis: Human-Machine Relations in the AI Era
- Privacy-Preserving and Lightweight V2I and V2V Authentication Protocol Using Blockchain Technology
- Multi-Source Cyber Intrusion Detection Using Ensemble Machine Learning
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning
- The Impact of Transitioning to E-learning 2.0 on Student Academic Performance: Assessing Changes Using the Wilcoxon Test
- Z-test in the Study of Student Engagement in Online Education: Mobile Application and Web Version
- Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning
- Student Learning Through Synchronous, Asynchronous, and Hybrid Models: Analyzing Results Using ANOVA and Tukey's Post-Hoc Test
- Application of Polynomial Regression in Assessing Students’ Academic Performance in Blended Learning
- Correlation and Regression Analysis of Student Grades and Predicting Academic Performance
- Quantum communication with RLP quantum resistant cryptography in industrial manufacturing
- Adopting a Deep Learning Split-Protocol Based Predictive Maintenance Management System for Industrial Manufacturing Operations
- Distributed Hybrid Quantum Computing Applications into Battery Cell Manufacturing Industries as per the Industries 5.0
- Constructor Development: Predicting Object Communication Errors
- In MANET: An Improved Hybrid Routing Approach for Disaster Management
- Privacy-Preserving and Lightweight V2I and V2V Authentication Protocol Using Blockchain Technology
- Application of Chi-Square Test in E-learning to Assess the Association Between Variables
- Toward the Application of Japanese Candlesticks for Visual Analysis of Student Academic Performance
- Application of Virtual Reality in Education
- Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach
- Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles
- Corrections to “Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach”
- Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach
- Corrections to “Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach”
- Enhancing Brain Tumor Detection from MRI-Based Images Through Deep Transfer Learning Models
Similar Researchers
Based on overlapping research topics