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# Published Date Details
1.13-08-2026International Journal of Software Engineering and Knowledge Engineering
Authors: P Parthasarathi ,Sasikala Dhamodaran, K Lakshmi Shree
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2.17-06-2026This paper proposes an AI-driven framework for automated diabetic foot ulcer analysis, integrating classification, segmentation, and wound depth estimation techniques. The framework utilizes advanced deep learning and image processing methods to accurately identify ulcer regions, assess severity, and estimate wound depth from clinical images. The proposed system aims to support early diagnosis, treatment planning, and improved healthcare management for diabetic foot ulcer patients.
Authors: S. Debnath, D. Willson, R. M. N. Renukadevi, S. H. Shreenidhi, J. Kishore, et al., “An AI-driven framework for diabetic foot ulcer classification, segmentation, and depth estimation,” Scientific Reports, vol. 16, Art. no. 18861, 2026
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3.16-06-2026Explanation: This paper presents a hierarchical assisted K-means framework for modeling audio dynamics and structured speaker profiling in TED Talks. The study analyzes speech characteristics, audio patterns, and speaker behavior to identify structured communication profiles. The proposed approach supports intelligent multimodal analysis for applications in public speaking assessment, behavioral analytics, and inclusive educational technologies.
Authors: M. N. Renukadevi, T. M. Rajesh, S. G. Shaila, P. Kulkarni, T. Babu, R. R. Nair, and S. Yogarayan, “Modeling audio dynamics using hierarchical assisted K-means model for structured speaker profiling in TED talks,” Scientific Reports
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4.06-06-2026This paper introduces AURORA-OCR, a neuroevolutionary OCR framework integrated with Large Language Model (LLM)-guided correction for accurate text recognition under degraded imaging conditions. The proposed system enhances OCR robustness against noise, blur, low illumination, and distorted images by combining adaptive feature optimization with intelligent post-processing correction mechanisms.
Authors: T. M. Rakesh, G. S. Girisha, and M. N. Renukadevi, “AURORA-OCR: A Neuroevolutionary Framework with LLM-Guided Correction for Robust Text Recognition Under Degraded Imaging Conditions,” Engineering, Technology & Applied Science Research, vol. 16, no. 3, pp. 36617–36623, 2026. DOI: 10.48084/etasr.18219
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5.01-06-2026A Unified Intelligent System for Weather Forecasting, Soil Analysis, and Crop Disease Detection, Advanced International Journal for Research (AIJFR) E-ISSN: 3048-7641 Volume 7, Issue 3 (May-June 2026)
Authors: Amritanshu Bhardwaj, Prof. Pramoda R
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6.21-05-2026Multimodal AI Virtual Doctor with Voice-Based Diagnostics
Authors: Vishwas Aithal K V, Khavya U S Reddy, Prof. Suresh Babu P
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7.16-05-2026Cognitive AI-Based Quality Control and Operational Optimization in Polymer Composite Manufacturing, Journal of Polymer & Composites (jopc)] , Year : 2026 | Volume : 14 | Special Issue 03 | Page : 571 591
Authors: Vandana Ahuja,Seemanthini K.,Sivabalakrishnan R.,Pradeep Kumar Sambamurthy,Maddali Radha Madhavi,Swarna Kuchibhotla
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8.20-04-2026 IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures. Journal of Polymer & Composites. 2026; 14(02):1076-1100.
Authors: Seemanthini K., Medikonda Swapna, Abrar Ahmed Syed, Swarna Kuchibhotla, Pritam Paul, Sivabalakrishnan R..
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9.20-01-2026Adaptive Fingerprint Verification using Siamese neural networks and Transfer learning for Robust Authentication on damaged prints Journal of Information Technology Management
Authors: Suman M, Dr. Shobha N
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10.01-01-2026Title -Spotting Key Influencers in Event Participation using Social Network Analysis
Authors: Hitha S, Vaibhavi K, Pallavi, Monisha B
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11.31-12-2025This paper presents a telecom customer churn prediction framework using Principal Component Analysis (PCA) and bagging-based machine learning techniques. The study focuses on improving prediction accuracy by reducing dimensionality and combining ensemble learning methods, thereby enabling telecom providers to identify potential customer attrition more effectively.
Authors: ]. D. Sandhya Rani, K. Mohiuddin, N. Vasudha, K. Swapna, P. Kulkarni, P. Naresh, T. M. Rajesh, and M. N. RenukaDevi, “Churn prediction analysis in the telecom industry using PCA and bagging techniques,” Mathematical Modelling of Engineering Problems, vol. 12, no. 12, 2025
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12.10-12-2025Ring theory applications in coding and error detection, Journal of Discrete Mathematical Sciences & Cryptography
Authors: Narayan Naik* , Suman M , Rajeshwari. N , Murigendrayya M Hiremath , Gangadhar T G , Shalini M G
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13.30-11-2025The paper presents a hybrid deep learning and clustering model for detecting anomalies in radiographic images. The approach improves interpretability and supports medical diagnostic systems.
Authors: P. Naresh, P. Kulkarni, T. M. Rajesh, K. I. Pattan, and Y. S. Gupta, “MedGRU-SVC: A hybrid ConvGRU and support vector clustering framework for interpretable anomaly detection in medical radiographs,” Mathematical Modelling of Engineering Problems, vol. 12, no. 11, pp. 3879–3886, 2025.
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14.11-11-2025Reinforcement Learning Based Approach for Underwater Environment to Evaluate Agent Algorithm - Wireless Personal Communications, Volume 145, pages 93–111, (2025)
Authors: K. R. Shruthi · C. Kavitha
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15.11-11-2025This paper proposes a hybrid OCR framework combined with large language model post-processing. The approach improves text recognition accuracy in images captured under poor or extreme lighting conditions.
Authors: T. M. Rakesh, G. S. Girisha, and M. N. Renukadevi, “Hybrid OCR with LLM-enhanced post processing for robust text recognition for extreme illumination condition,” International Journal of Intelligent Engineering and Systems, vol. 18, no. 11, pp. 1049–1064, 2025.
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16.20-10-2025Biometric Fingerprint verification with Siamese neural network and Transfer learning Journal of Machine and computing
Authors: Suman M, Dr. Shobha N
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17.18-03-2025M?Bi?GRU?CNN: a hybrid deep learning model with optimized feature selection for enhanced crop yield prediction J Madhuri, M Indiramma Multimedia Tools and Applications Volume 84 Issue 32 Pages 39787–39811 Publisher Springer
Authors: J Madhuri, M Indiramma
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18.21-02-2025Optimizing Crop Recommendations With Improved Deep Belief Networks: A Multimodal Approach J. Madhuri; B. Ramana Reddy; Gauri Kalnoor; M. Indiramma; N. Nagarathna IEEE Accsess Received 5 February 2025, accepted 11 February 2025, date of publication 14 February 2025, date of current version 21 February 2025.
Authors: J. Madhuri; B. Ramana Reddy; Gauri Kalnoor; M. Indiramma; N. Nagarathna
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19.25-09-2024Precision Agriculture: Machine Learning-Driven Crop Yield Prediction in India
Authors: Hitha S, Nagaraja G S
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20.24-07-2024A Deep Neural Network Approach to Predict Stock Prices Using Unconventional Data: Some Evidences from India - Innovative Computing and Communications, Lecture Notes in Networks and Systems - vol 1021. Springer, Singapore. https://doi.org/10.1007/978-981-97-3591-4_35
Authors: Shruthi, K.R., Patil, S., Chandrashekhar Rao, V., Tamizharasi, D., Levi, S., Badgi, V.
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21.20-04-2024Activity recognition based on spatio-temporal features with transfer learning, IAES International Journal of Artificial Intelligence (IJ-AI) (Q2 Quartile), Vol. 13, No. 2, June 2024, pp. 2102~2110, ISSN: 2252-8938 DOI: http://doi.org/10.11591/ijai.v13.i2.pp2102-2110
Authors: Seemanthini Krishne Gowda, Shobha Narasimha Murthy, Jayaprada S. Hiremath, Sowmya Lakshmi Belur Subramanya
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22.29-02-2024Efficient NetB3 for Enhanced Lung Cancer Detection: Histopathological Image Study with Augmentation (Q3 Quartile),Journal of Information Technology Management, 2024, Vol. 16, Issue 1, pp. 98-117 doi: https://doi.org/ 10.22059/jitm.2024.96377
Authors: Bhavani Rupa Devi, Dr. Karthik S A, Dr Seemanthini K
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