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15-07-2024 |
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BASIC SCIENCES AND HUMANITIES |
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258758 |
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O+ |
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HINDUISM |
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I_44692397488 |
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15-07-2024 |
| Teaching | Research | Industry |
|---|---|---|
| 219 | 144 | 0 |
| Date | Title | Journal | DOI | Link |
|---|---|---|---|---|
| 05-01-2026 | A novel bivariate randomized response model using non sensitive innocuous variable | Behaviormetrika | DOI | View |
| 30-12-2025 | Variance estimation in the presence of scrambled response using ranked set sampling | Brazilian Journal of Probability and Statistics | DOI | View |
| 16-12-2025 | CALIBRATION ESTIMATION TECHNIQUES FOR POPULATION MEAN IN SUCCESSIVE SAMPLING IN PRESENCE OF RANDOM NON RESPONSE SITUATION | International Journal of Agricultural and Statistical Sciences | DOI | View |
| 14-06-2025 | Formulation of estimator for population mean in stratified successive sampling using memory-based information | Statistics In Transition new series | DOI | View |
| 08-03-2025 | Advanced Biomedical Technology: Revolutionizing Healthcare | Journal of Neonatal Surgery | DOI | View |
| 27-02-2025 | Estimation of Population Mean Using Calibrated Weights in Stratified Random Successive Sampling in Presence of Incomplete Data. Journal of Mathematics | Journal of Mathematics. | DOI | View |
| 27-12-2024 | A Class of Chain Type Estimators for Population Mean Under Two Phase Sampling Using Available Information on Second Variable | ASIAN JOURNAL OF STATISTICS AND APPLICATIONS | DOI | View |
| Date | Title | Conference | DOI | Link |
|---|---|---|---|---|
| 31-01-2025 | Formulation of General Estimation Strategy for Population Variance under Two-Phase Cluster Sampling | International Conference on Recent Developments and Applications in Materials Science and Engineering RDAMSE 2025 | DOI | View |
| 02-10-2024 | Development of a Chain Regression-Product Type Estimation Strategy for Population Meanunder Two-Phase Sampling | INTERNATIONAL CONFERENCE PROCEEDINGS ON MULTIDISCIPLINARY RESEARCH ON INTEGRATING KNOWLEDGE FOR SUSTAINABLE FUTURE IN GLOBAL OUTLOOK | DOI | View |
| 02-10-2024 | Estimating The Growth Rate of Infection of Covid-19 in Early Phase of Pandemic | INTERNATIONAL CONFERENCE PROCEEDINGS ON MULTIDISCIPLINARY RESEARCH ON INTEGRATING KNOWLEDGE FOR SUSTAINABLE FUTURE IN GLOBAL OUTLOOK | DOI | View |
| Date | Title | Book Title | Editor | ISBN | DOI | Link |
|---|---|---|---|---|---|---|
| 12-12-2025 | Automated Agricultural Grain Classification Using ML: A case study on Rice | Transformative Multidisciplinary Approaches in Agriculture, Engineering, Law, Management, Science and Technology-First Edition | Dr. Peter Cooper Prof. (Dr.) Asadi Srinivasulu Prof. (Dr.) Upkar Singh Kandhari Dr. Poonam Verma | 978-81-994004-5-0 | DOI | View |
| 22-06-2025 | COMPUTATIONAL METHODS WITH PROBABILITY | Elena Barba | 978-620-8-44852-3 | DOI | View | |
| 18-01-2025 | Basic Engineering Mathematics | Dr. Arnab Bandyopadhyay and Dr. Pinaki Ranjan Duari | 978-613-9-45057-2 | DOI | View |
| Committee Name | Start Date | End Date |
|---|---|---|
| DEPARTMENTAL ACADEMIC COMMITTEE (DAC) | 02-03-2026 | 05-03-2027 |
| NATIONAL EDUCATION DAY-2025 | 13-11-2025 | 30-11-2025 |
| NATIONAL SCIENCE DAY 2025 | 31-01-2025 | 16-05-2025 |
| IPR EXHIBITION | 12-11-2024 | 14-11-2024 |
| Title | Patent Number | Patent Office | Date | Status | Country | Application No. | Abstract | Expiration Date |
|---|---|---|---|---|---|---|---|---|
| AI BASED HEART RATE MONITORING DEVICE FOR SPORTS TRAINING | Design Number 435219-001 | The Patent Office, Govt. of India | 22-01-2025 | Published | India | 435219-001 | AI BASED HEART RATE MONITORING DEVICE FOR SPORTS TRAINING | 01-01-0001 |
| EMPOWERING EDUCATION THROUGH DYNAMIC ALGORITHMIC FRAMEWORKS: A SYSTEM FOR REAL-TIME DATA ANALYSIS | Application number 202441060071, Publication number: 33/2024 | The Patent Office, Govt. of India | 16-08-2024 | Published | India | 202441060071 | The present invention relates to a system for enhancing education through real-time data analysis and adaptive learning. The system features a data collection modugathers real-time data from various educational activities, a dynamic algorithmic processing unit that analyzes this data to identify learning patterns and adapt contenadaptive learning interface that customizes educational resources based on the analysis. Additionally, the system includes a real-time feedback mechanism for both seducators. In a second embodiment, the system integrates a collaborative learning module, an advanced analytics engine, and an integration framework for external tools, further enhancing its capability to support personalized and effective learning experiences. This invention provides a dynamic, data-driven approach to educatiimproving student engagement and educational outcomes through timely insights and adaptable instructional strategies. | 01-01-0001 |