Reshma Unnikrishnan, Sowmya Kamath S., Ananthanarayana V.S. “Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data”, Engineering Applications of Artificial Intelligence, Elsevier Publications, Volume 123, Part A, August 2023, 106214 https://doi.org/10.1016/j.engappai.2023.106214

Shashank Shetty, Ananthanarayana V. S, Ajit Mahale “Cross-Modal Deep Learning-based Clinical Recommendation System for Radiology Report Generation from Chest X-rays” International Journal of Engineering, Volume 36, Issue 8, TRANSACTIONS B: Applications August 2023, Pages 1569-1577 10.5829/IJE.2023.36.08B.16

Rashmi M and Ram Mohana Reddy Guddeti, "Human action recognition using multi-stream attention-based deep networks with heterogeneous data from overlapping sub-actions", Springer Neural Computing and Applications, Accepted for Publication, Dated February 21, 2024 (SCI/Scopus).

Rashmi M and Ram Mohana Reddy Guddeti, "Exploiting Skeleton-based Gait Events with Attention-guided Residual Deep Learning Model for Human Identification", Springer Applied Intelligence, Published Online October 12, 2023. https://doi.org/10.1007/s10489-023-05019-z(SCI/Scopus).

Revanesh M, Bhawana Rudra, and Ram Mohana Reddy Guddeti, "An Optimized Question Classification Framework Using Dual-Channel Capsule Generative Adversarial Network and Atomic Orbital Search Algorithm", IEEE Access, Vol. 11, pp. 75736-75747, July 2023, Firstonline July 19, 2023, (SCI/Scopus).DOI: 10.1109/ACCESS.2023.3296911

Sona Mundody and Ram Mohana Reddy Guddeti, “A Framework for Low Cost, Ubiquitous and Interactive Smart Refrigerator”, Springer Nature Multimedia Tools and Applications, Published Online July 5, 2023 (SCI/Scopus). https://doi.org/10.1007/s11042-023-15544-1

Ghosh, S.K., Rashmi, M., Mohan, B.R., Guddeti, R.M.R., “Deep Learning-based Multi-view 3D-Human Action Recognition Using Skeleton and Depth Data”, Springer Multimedia Tools and Applications (2023), 82:19829–19851, May 2023 (Published online: 18 November 2022) https://doi.org/10.1007/s11042-022-14214-y(SCI/Scopus)

Reddy A.V.M., Rashmi, M., Natesha, B.V., Reddy G.R.M. (2023), “Fall Detection and Elderly Monitoring System Using the CNN”. In: Singh, P., Singh, D., Tiwari, V., Misra, S. (eds) Machine Learning and Computational Intelligence Techniques for Data Engineering. MISP 2022. Lecture Notes in Electrical Engg., Vol. 998. Springer, Singapore. First Online 16 May 2023, DOI: https://doi.org/10.1007/978-981-99-0047-3_16

Pratiksha Gawas and Sowmya Kamath S, “Automated Hard Exudate Segmentation using Neural Encoders and Attention Mechanisms for Diabetic Retinopathy Diagnosis”, Int. J. of Biomedical Engineering and Technology (ESCI, Scopus), 2023

Reshma Unnikrishnan; Sowmya S Kamath; Ananthanarayana VS, “Efficient Parameter Tuning of Neural Foundation Models for Drug Perspective Prediction from Unstructured Socio-Medical Data”,  Journal of Engineering Applications of Artificial Intelligence, Vol 118, 2023, [SCI, IF: 7.802, Q1]

Veena Mayya, Sowmya Kamath S., “Applications of Multimodal Machine Learning in Diabetic Foot Ulcer Diagnosis and Management: A Review”, IAENG International Journal of Applied Mathematics, 2023

Aditya Jayasimha, Rahul M, Sowmya Kamath S, “Nature-inspired Query Optimization Models for Medical Information Retrieval with Relevance Feedback“, International Journal of Advanced Intelligence Paradigms, Inderscience Publishers, 2023, ISSN 1755-0394

Sunil, C.K., Jaidhar, C.D., Patil, N, "Systematic study on deep learning-based plant disease detection or classification" (2023) Artificial Intelligence Review, 56 (12), pp. 14955-15052

Sunil, C.K., Jaidhar, C.D., Patil, N " Tomato plant disease classification using multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism" (2023) Expert Systems with  Applications, 228, art. no. 120381

Chintawar, S., Kulkarni, R., Patil, N "OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features" (2023) SN Computer Science, 4 (5), art. no. 666

Agrawal, S., Honnakasturi, V., Nara, M., Patil, N, "Utilizing Deep Learning Models and Transfer Learning for COVID-19 Detection from X-Ray Images " (2023) SN Computer Science, 4 (4), art. no. 326

Mummadi, S., Rudra, B.Practical Demonstration of Quantum Key Distribution Protocol with Error Correction Mechanism. International Journal of Theoretical Physics 62(4),86-2023

Dash, A., Awachar, M., Patel, A., Rudra, B.Open-Domain Long-Form Question–Answering Using Transformer-Based PipelineSN Computer Science4(5), 595-2023

Sujatha M. and Jaidhar C.D. (2023), “Machine learning-based approaches to enhance the soil fertility - A review”, Expert Systems With Applications, Volume 240, Pages 1-23

Sujatha M., Jaidhar C.D., and Mallikarjuna Lingappa, (2023), “1D convolutional neural networks-based soil fertility classification and fertilizer prescription”, Ecological Informatics, Volume 78, Pages 1-19.

Rajesh Nayak and C. D. Jaidhar, (2023) “Employing Feature Extraction, Feature Selection, and Machine Learning to Classify Electricity Consumption as Normal or Electricity Theft”, SN Computer Science (2023) 4:483, Springer, Pages 1-15

Kolkar, R., Geetha, V. Human Activity Behavioural Pattern Recognition in Smart Home with Long-Hour Data Collection. SN COMPUT. SCI.4, 864 (2023). https://doi.org/10.1007/s42979-023-02278-y

U. Vijetha and V. Geetha, "Optimizing Reinforcement Learning-Based Visual Navigation for Resource-Constrained Devices," in IEEE Access, vol. 11, pp. 125648-125663, 2023, doi: 10.1109/ACCESS.2023.3323801

Devi, Tulasi Gayatri, Nagamma Patil, Sharada Rai, and Cheryl Sarah Philipose. "Gaussian Blurring Technique for Detecting and Classifying Acute Lymphoblastic Leukemia Cancer Cells from Microscopic Biopsy Images." Life 13, no. 2 (2023): 348.

Ramu, S., Guddeti, R. M. R., & Mohan, B. R. (2023, January). Human Activity Recognition for Online Examination Environment Using CNN. In Artificial Intelligence and Soft Computing: 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19–23, 2022, Proceedings, Part II (pp. 327-335). Cham: Springer International Publishing.

“Diabetic Retinopathy Severity Classification based on attention mechanism” Third International Conference on Secure Cyber Computing and Communications, 26th - 28th May, 2023 at Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India.

Avinash Jha, Ananthanarayana V.S. “An Interpretable Deep Learning model for Skin Lesion Classification” 7th  International Conference on Advances in Computing and Data Sciences (ICACDS 2023), 27 – 18 April 2023, Brainware University at Kolkata, India.

Anand Sriram, Akshay Sreekumar Nair, Chavva Jeevan Reddy and Anathanarayana V. S. “Modeling the Demand for Ride-Hailing Services using Contextual Dependencies” The 36th International Conference of the Florida Artificial Intelligence Research Society (FLAIR-36), 14 – 17, May 2023, Sheraton Sandy Key Resort, Clearwater Beach, Florida, USA

Avinash Jha, Ananthanarayana V.S. Anand Sriram, Akshay Sreekumar Nair, Chavva Jeevan Reddy, Ananthanarayana V.S “Exploring The Impact of External Factors on Demand for Ride-Hailing Services : A Predictive Modelling Approach” AISB Convention 2023, Organized by : The Society for the Study of Artificial Intelligence and Simulation of Behaviour, April 13 – 14, 2023, Swansea, Wales.

Shashank Shetty, Ananthanarayana V S., Ajit Mahale “Data Augmentation vs. Synthetic Data Generation: An Empirical Evaluation for Enhancing Radiology Image Classification” 17th IEEE International Conference on Industrial and Information System (ICIIS) 2023, 25-26, Aug 2023, University of Peradeniya, Peradeniya.

Pradeep Verma and Ananthanarayana V.S. “Transfer Learning and Hybrid ResNet34-UNet based Approach for Accurate Plant Disease Identification and Diseased Area Segmentation” 7th International Conference on Computer Applications in Electrical Engineering – Recent Advances (CERA 2023), October 27 – 29, 2023, IIT Roorkee.

Madhusmita Das, Biju R. Mohan and RamMohana Reddy Guddeti, “Safety Assessment of Railway Crossing Junction Via Petri Nets”, 5th IEEE Int. Conf. on Innovative Trends in Information Technology (ICITIIT-2024), Mar. 15-16, 2024, Indian Institute of Information TechnologyKottayam, Kerala.

Madhusmita Das, Biju R. Mohan and RM R Guddeti, “Fault Tree Analysis: A Review on Analysis, Simulation Tools, and Reliability Dataset for Safety-critical Systems”, International Conference on Mining for a Greener Future: Technological Developments and Sustainable Practices (ICMFGF 2024), Feb. 16-17, 2024, NITK Surathkal, India.

Tushaar Gangavarapu, Preethi Padala, Ramu S, and Ram Mohana Reddy Guddeti “UToSMoVE: An Integrated Framework for Gauging the Voters’ Behavioral Patterns in Indian States’ Assembly Elections-2018 Using Social Media Data”, 10th Int. Conf. on Business Analytics and Intelligence (2023-ICBAI), Dec. 18-20, 2023, IISc, Bangalore, India.

Ramu S, Ravi Ranjan Kumar, Ram Mohana Reddy Guddeti, and Biju R Mohan, “Federated Learning Approach for Fall Detection in Smart Home Environment”, 10th Int. Conference on Business Analytics and Intelligence (2023-ICBAI), Dec. 18-20, 2023, Indian Institute of Science, Bangalore, Karnataka, India.

Ashinee K, Sevitha S, Renukasakshi V P, and Ram Mohana Reddy G, “Comprehensive Multi-Modal Analysis for Enhanced Road Safety and Traffic Law Enforcement”, 2nd Int. Conf. on Information Security, Privacy, and Digital Forensics (ICISPD 2023), Dec. 15-16, 2023, SVNIT Surat, Gujarat, India.

Nidhi Ekka, Sona Mundody, and Ram Mohana Reddy Guddeti, “An Effective Early Detection and Prediction System for Gas Leakage in Smart Environments”, 14th IEEE Int. Conf. on Computing Commn. &NW. Techs. (ICCCNT-2023), IIT Delhi, Delhi, India, July 6-8, 2023.

Madhusmita Das, Biju R. Mohan and RM R Guddeti, “Reliability Assessment of a Drone Communication System using Truncated Markov Analysis”, 14th IEEE Int. Conf. on Computing Commn. &NW. Technologies (ICCCNT-2023), IIT Delhi, Delhi, India, July 6-8, 2023.

Sarvesh Joshi and Sowmya Kamath S, “Social Network Science Approaches for Disease Named Entity Recognition and Extraction”, 38th International Conference on Information Networking (ICOIN 2024), Ho Chi Minh City, Vietnam, Jan 17-19, 2024

 Prakash P, Sowmya Kamath S, Shrutilipi Bhattacharjee, Pruthviraj U and K V Gangadhara, “Enhancing Water Quality Monitoring using Predictive Models leveraging LANDSAT 8 Multispectral Imagery”, 3rd International Conference On River Health: Assessment To Restoration (RHAR 2023), IITBHU

Sarvesh Joshi and Sowmya Kamath S, “Network Science based Predictive Analysis on Social Media Data”, 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT) · July 6th - 8th, 2023. IIT – Delhi

Supreetha R and Sowmya Kamath S, “Ocular Region Segmentation Model for Diagnosis Of Microbial Keratitis Using Slit-Lamp Photography“, 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT) · July 6th - 8th, 2023. IIT – Delhi

Sreegeethi, Sai Srivatsa Gorti, Leela Akshaya, Sowmya Kamath S, “Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction”, 4th International Conference on Data Science. and Applications (ICDSA 2023), MNIT Jaipur

Shenoy, Naveen, Pratham Nayak, Sarthak Jain, S. Sowmya Kamath, and Vijayan Sugumaran. "Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-Scale Biomedical Document Corpora." In International Conference on Applications of Natural Language to Information Systems, pp. 404-415. Cham: Springer Nature Switzerland, 2023.

Aprameya Dash, Alimurtaza Merchant, Suyash Chintawar, Sowmya Kamath S, “Transformer and Knowledge Based Siamese Models for Medical Document Retrieval“, 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), May 19-21, 2023 at Loughborough University, London

Sudhakara, Priyadarshini R, Shrutilipi Bhattacharjee, Sowmya Kamath S, Pruthiviraj U, K V Gangadharan, Soumya Kanti Ghosh, “Spatio-temporal Analysis and Modeling of Coastal areas for Water Salinity Prediction”, 8th IEEE International Students' Conference is a flagship conference of IEEE-MSB on Electrical, Electronics and Computer Sciences (SCEECS 2023), organised by National Institute of Technology, Bhopal.

Vasudev, R., Dahikar, P., Jain, A., Patil, N.Sentiment Analysis on Worldwide COVID-19 Outbreak (2024) Lecture Notes in Electrical Engineering, 1053 LNEE, pp. 615-625.

Rosamma, K.S.R., Patil, N.Measuring the Quality of Text Summarization: A Survey of Evaluation Approaches (2023) OCIT 2023 - 21st International Conference on Information Technology, Proceedings, pp. 290-296

Rosamma, K.S., Patil, N. Pioneering Frontiers in Natural Language Processing: Exploring Promising Areas and Emerging Applications (2023) OCIT 2023 - 21st International Conference on Information Technology, Proceedings, pp. 640-647

Madathil, K.T., Dugar, A., Patil, N., Cheramangalath, U. Optimizing Machine Learning Operators and Models for Specific Hardware Using Apache-TVM (2023) 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

Kadaskar, M., Patil, N. Nuclei Classification in  Histopathology Images Using Fuzzy Ensemble of Convolutional Neural Networks (2023) 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

Kadaskar, M., Patil, N. Nuclei Segmentation using EfficientNetV2 and  onvolutional Block Attention Module (2023) 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

Verma, V.K., Janagama, H.S., Patil, N. An Efficient Rainfall Prediction Model Using Deep Learning Method (2023) ICSCCC 2023 - 3rd International Conference on Secure Cyber Computing and Communications, pp. 566-572

Kumar, S., Lohiya, K.S., Patil, N. Forecasting the Fury: A Deep Learning Approach to Predicting Cyclone Intensity (2023) ICSCCC 2023 - 3rd International Conference on Secure Cyber Computing and Communications, pp. 617-622

Kedkar, N., Karthik Reddy, K., Arya, H., Sunil, C.K., Patil, N. Vehicle Re-identification Using Convolutional Neural Networks (2023) Lecture Notes in Networks and Systems, 660 LNNS, pp. 421-432.

Sunil, C.K., Reddy, S., Kanber, S.G., Sandeep, V.R., Patil, N. Comparative Analysis of Intrusion Detection System using ML and DL Techniques (2023) Lecture Notes in Networks and Systems, 647 LNNS, pp. 736-745

Sudhakara B. and Shrutilipi Bhattacharjee, "Prediction of High-resolution Soil Moisture using Multi-source Data and Machine Learning", The 20th International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2024), pp. 282-292, Bhubaneswar, India, January 17-20, 2024.

Ramya D Shetty, Saumya Kumar Dewangan and Shrutilipi Bhattacharjee, "Analyzing Derived Network Feature Importance to Identify Location Influence in LBSN", 2023 10th International Conference on Social Networks Analysis, Management and Security (SNAMS 2023), pp. 1-6, Abu Dhabi, UAE, November 21-24, 2023.

Sapna S, Sandhya S, Ramya D Shetty,  Spurthy Maria Pais and Shrutilipi Bhattacharjee, "YOLOv5 Model-based Ship Detection in High-Resolution SAR Images", 2023 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT 2023), pp. 1-6, Bangalore, India, July 14-16, 2023.

Saumya Kumar Dewangan, Shrutilipi Bhattacharjee and Ramya D Shetty, "A Temporal Metric-Based Efficient Approach to Predict Citation Counts of Scientists", 19th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2023), pp. 343-355, León, Spain, June 14-17, 2023.

NavyasreeBalamuralidhar, Pranav Surendran, Gaurav Singh, Shrutilipi Bhattacharjee and Ramya D Shetty, "Prediction of Drug Interactions Using Graph-Topological Features and GNN", 19th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2023), pp. 135-144, León, Spain, June 14-17, 2023.

P. P. Bhat and G. V, "Node localization and performance analysis using Pelican Optimization Algorithm in WSN,"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10308133.

P. P. Bhat and G. V, "Performance analysis of PSO for solving coverage problem in WSN,"2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC), Jalandhar, India, 2023, pp. 49-54, doi: 10.1109/ICSCCC58608.2023.10176720.

V. U and G. V, "Superpixel based Image Colorization with Automated Reference Image Selection,"2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2023, pp. 1-6, doi: 10.1109/SCEECS57921.2023.10061822.

V. U and G. V, "Opportunities and Challenges in Development of Support System for Visually Impaired: A Survey,"2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2023, pp. 684-690, doi: 10.1109/Confluence56041.2023.1004886.

Salvi, S., Geetha, V. (2024). Design, Implementation, and Evaluation of a Low-Cost Visible Light Communication Testbed. In: So In, C., Londhe, N.D., Bhatt, N., Kitsing, M. (eds) Information Systems for Intelligent Systems. ISBM 2023. Smart Innovation, Systems and Technologies, vol 379. Springer, Singapore. https://doi.org/10.1007/978-981-99-8612-5_21

Priya Malik and Geetha V, "RIVER:A Bio Inspired Routing Protocol for High Data Rate Wireless Sensor Network" at 38th Intl. Conf. on Information Networking (ICOIN 2024), Ho Chi Minh City, Vietnam, Jan 17-19, 2024.