International/National Journals
J, Madhuri., M, Indiramma. & N, Nagaratna. M-Bi-GRU-CNN: a hybrid deep learning model with optimized feature selection for enhanced crop yield prediction. Multimed Tools Appl 84, 39787–39811 (2025).
J. Madhuri, B. Ramana Reddy, G. Kalnoor, M. Indiramma and N. Nagarathna, "Optimizing Crop Recommendations With Improved Deep Belief Networks: A Multimodal Approach," in IEEE Access, vol. 13, pp. 31762-31773, 2025, doi: 10.1109/ACCESS.2025.3542284
Supriya Shetty N, Dr. Indiramma M, Madhuri J. Deep Learning Approach For Atrial Fibrillation Detection using ECG Signals. Authorea. July 16, 2024. DOI: 10.22541/au.172114947.71881882/v1
Harsh Adhikari, Vivek Gupta, Dheeraj Khatoch, Madhuri J, "Diabeties Prediction Using MachineLearning and Embedded System" , in International Journal of Innovative Research in Advanced Engineering, Issue 5, Volume 11. pp. 589-593
Madhuri, Spoorthy U K, COMPARATIVE ANALYSIS OF DEEP LEARNING TECHNIQUES FOR BRAIN TUMOR DETECTION ,International Research Journal of Engineering and Technology (IRJET) ,volume 11, Issue 8(pp. 379-383)
Pooja, L., Madhuri, J. (2023). Privacy Preserved Effective Bill Collection System Using Blockchain. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2022). Lecture Notes in Networks and Systems, vol 615. Springer, Singapore
Madhuri, J., Indiramma, M., & Nagarathna, N. (2023). Intelligent location specific crop recommendation system using big data analytics framework. In Data-Driven Technologies and Artificial Intelligence in Supply Chain (pp. 199-219). CRC Press.
Madhuri, J., and M. Indiramma. "Big Data Analytics-Based Agro Advisory System for Crop Recommendation Using Spark Platform." Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics. IGI Global, 2023. 227-247.
Pooja, L., Madhuri, J. (2023). Privacy Preserved Effective Bill Collection System Using Blockchain. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2022). Lecture Notes in Networks and Systems, vol 615. Springer, Singapore. https://doi.org/10.1007/978-981-19-9304-6_3
Madhuri, J., & Indiramma, M. Artificial Neural Networks Based Integrated Crop Recommendation System Using Soil and Climatic Parameters. Indian Journal of Science and Technology, 2021, vol. 14, issue 19, 1587-1597. doi: 10.17485/IJST/v14i19.64
Madhuri J and Indiramma M, Role of Big Data in Agriculture. Int. J. Innov. Technol. Explor. Eng.,2019, vol. 9, issue 2, 3811–3821, doi: 10.35940/ijitee.A5346.129219.
Praveen K B , Pradyumna Kumar , Prateek J , Pragathi G, Madhuri J, Inventory Management using Machine Learning. International Journal of Engineering Research & Technology (Ijert),2020, vol. 9, issue 6, 866-869, doi: 10.17577/IJERTV9IS060661
Sunil B S, Madhuri J, “Custom Application Development of BMRCL in Cloud Environment: Using Salesforce CRM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN: 2349-5162, vol.7, issue 7, 584-593
Madhuri J, Neha Benny, Depression Detection Based On Facial Expressions Using Machine Learning And Deep Learning Techniques. International Journal of Emerging Technologies and Innovative Research (www.jetir.org), 2021, ISSN: 2349-5162, Vol.8, Issue 7, 584-593
Manish A, Vivek S K,Vishal Kiran, Madhuri J, Detection of Zero Day Threat Using Machine Learning. International Journal of Current Engineering and Scientific Research, 2021, ISSN: 2393-8374, Vol.8, Issue-9,1-6, doi: 10.21276/ijcesr
International/National Conferences
Madhuri, J., Indiramma, M., Nagarathna, N. (2024). Deep Belief Network Optimization Using PSOGAA Algorithm for Efficient Crop Recommendation. In: Aradhya, V.N.M., Mahmud, M., Srinath, S., Mahanand, B.S., Bharathi, R.K. (eds) Cognitive Computing and Information Processing. CCIP 2023. Communications in Computer and Information Science, vol 2044. Springer, Cham
Madhuri. J, Ghanasham. S. S, A. Naveen. Kumar, Gagan. D and A. Rohit, "Enhanced Fake Review Detection and Sentiment Analysis with Hybrid Deep Learning Models," 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Pune, India, 2024, pp. 1-7, doi: 10.1109/ICBDS61829.2024.10837222.
Madhuri. J et al., "Detection of Mid Mesial Canal in Dental CBCT Images Using Combined YOLO and 2D U-Net Model," 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 1-7
Prateek. K, Madhuri. J and Bhanushree K. J, "Deep Learning-Based Fertilizer Recommendation System Using Nutrient Deficiency Prediction," 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/CSITSS60515.2023.10334122. https://doi.org/10.1007/978-3-031-60725-7_10
Madhuri J, V. Bhushan, S. K. HR, S. K. G and S. J, "Prediction of Pulmonary Fibrosis Progression using CNN and Regression," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2021, pp. 944-950, doi: 10.1109/ICAC3N53548.2021.9725730.
Madhuri J and Indiramma. M, "Hybrid filter and wrapper methods based feature selection for crop recommendation," 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India, 2022, pp. 247-252, doi: 10.1109/ICESIC53714.2022.9783542.
J. Madhuri and K. Anuradha, "A ZigBee based energy efficient environmental monitoring alerting and controlling system," 2016 International Conference on Information Communication and Embedded Systems (ICICES), Chennai, India, 2016, pp. 1-7,
Kumar, Nishant, J. Madhuri, and Manjunath ChanneGowda, "Review on security and privacy concerns in Internet of Things" 2017 International Conference on IoT and Application (ICIOT), pp. 1-5. IEEE, 2017.