Information hiding through dynamic text steganography and cryptography: Computing and Informatics. - Deepali Bhat; V. Krithi; K. N. Manjunath; Srikanth Prabhu; A. Renuka 001 (ICACCI, 2017)

An Optimized Parallel Algorithm for Exact String Matching Using Message Passing Interface. - Sucharitha Shetty; B. Dinesh Rao; Srikanth Prabhu (ATIS, 2018)

Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study. - Radhika Kamath; Mamatha Balachandra; Srikanth Prabhu (IEEE Access, 2019)

Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach. - Dhruv Verma; Sunaina Puri; Srikanth Prabhu; Komal Smriti (TENCON, 2020)

Improving the Performance of Convolutional Neural Network for the Segmentation of Optic Disc in Fundus Images Using Attention Gates and Conditional Random Fields. - Bhargav J. Bhatkalkar; Dheeraj R. Reddy; Srikanth Prabhu; Sulatha V. Bhandary (IEEE Access, 2020)

Cognitive Artificial Intelligence Computing Modeling Process in Meta Cognitive Architecture Carina. - Ojaswi Bhimineni; Geda Sai Venkata Abhijith; Srikanth Prabhu (ATIS, 2021)

A Novel SDN-Based IOT Security Architecture Model for Big Data. - Ojaswi Bhimineni; Geda Sai Venkata Abhijith; Srikanth Prabhu (ATIS, 2021)

RTOS Based Embedded Solution for Multi-purpose Radio Frequency Communication. - Meghang Nagavekar; Arthur Gomes; Srikanth Prabhu (ATIS, 2021)

Effectiveness of the Use of Golden Ratio in Identifying Similar Faces Using Ensemble Learning. - Gangothri Sanil; Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (ATIS, 2021)

Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. - Austin Coursey; Gopal Nath; Srikanth Prabhu; Saptarshi Sengupta (IEEE BigData, 2021)

Cyber Security and Layering of Medical Data Using Machine Learning Algorithms. - Anmol Garg; Jay Singhvi; Saurav Sabu; Rushikesh Sahu; Srikanth Prabhu; Arti Pawar (ATIS, 2022)

Analysis of Classification Algorithms for Predicting Parkinson's Disease and Applications in the Field of Cybersecurity. - U. Sumalatha; K. Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (ATIS, 2022)

Enhancing Face Recognition Accuracy Using the ED-FFP Extraction Method and Ensemble Learning for Forensics and Cyber Security. - Pranav Virmani; Srikanth Prabhu; Ramya S. (ATIS, 2022)

Query Dictionary for Frequent Non-Indexed Queries in HTAP Databases. - Sucharitha Shetty; B. Dinesh Rao; Srikanth Prabhu (IEEE Access, 2022)

Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees. - Gopal Nath; Antoine Harfouche; Austin Coursey; Krishna K. Saha; Srikanth Prabhu; Saptarshi Sengupta (CoRR, 2022)

Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism. - Gopal Nath; Yawei Wang; Austin Coursey; Krishna K. Saha; Srikanth Prabhu; Saptarshi Sengupta (Inf., 2022)

Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters. - Aditya Pradhan; Srikanth Prabhu; Krishnaraj Chadaga; Saptarshi Sengupta; Gopal Nath (Inf., 2022)

Use of Machine Learning for Early Detection of Knee Osteoarthritis and Quantifying Effectiveness of Treatment Using Force Platform. - Ashish John Prabhakar; Srikanth Prabhu; Aayush Agrawal; Siddhisa Banerjee; Abraham M. Joshua; Yogeesh Dattakumar Kamat; Gopal Nath; Saptarshi Sengupta (J. Sens. Actuator Networks, 2022)

Diagnosing COVID-19 using artificial intelligence: a comprehensive review. - Varada Vivek Khanna; Krishnaraj Chadaga; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga; Shashikiran Umakanth (Netw. Model. Anal. Health Informatics Bioinform., 2022)

Classification of Malaria Using Object Detection Models. - Padmini Krishnadas; Krishnaraj Chadaga; Niranjana Sampathila; Santhosha Rao; Swathi Katta S.; Srikanth Prabhu (Informatics, 2022)

2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications. - Gangothri Sanil; Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak; Saptarshi Sengupta (IEEE Access, 2023)

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach. - Krishnaraj Chadaga; Srikanth Prabhu; Niranjana Sampathila; Rajagopala Chadaga (Intell. Decis. Technol., 2023)

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence. - Susmita S.; Krishnaraj Chadaga; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga; Swathi Katta S. (Inf., 2023)

Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health. - Venkatesh A. Bhandage; Srikanth Prabhu; Balachandra S. Hadimani; Krishnaraj Chadaga; Niranjana Sampathila; Sucharitha Shetty (IEEE Access, 2024)

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas. - Krishnaraj Chadaga; Srikanth Prabhu; Niranjana Sampathila; Rajagopala Chadaga; Shashikiran Umakanth (IEEE Access, 2024)

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases. - Roshan Kumar; V. Srirama; Krishnaraj Chadaga; H. Muralikrishna; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga (IEEE Access, 2024)

Facial Similarity Measure for Recognizing Monozygotic Twins Utilizing 3D Facial Landmarks, Efficient Geodesic Distance Computation, and Machine Learning Algorithms. - Gangothri Sanil; Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (IEEE Access, 2024)

An Approach Toward Classifying Plant-Leaf Diseases and Comparisons With the Conventional Classification. - Anita Shrotriya; Akhilesh Kumar Sharma; Srikanth Prabhu; Amit Kumar Bairwa (IEEE Access, 2024)

A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection. - U. Sumalatha; K. Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (IEEE Access, 2024)

Deep Learning Applications in ECG Analysis and Disease Detection: An Investigation Study of Recent Advances. - U. Sumalatha; K. Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (IEEE Access, 2024)

Enhancing Finger Vein Recognition With Image Preprocessing Techniques and Deep Learning Models. - U. Sumalatha; K. Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (IEEE Access, 2024)

From Geometry to Deep Learning: An Overview of Finger Knuckle Biometrics Recognition Approaches. - U. Sumalatha; K. Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (IEEE Access, 2024)

The State of Lithium-Ion Battery Health Prognostics in the CPS Era. - Gaurav Shinde; Rohan Mohapatra; Pooja Krishan; Harish Garg; Srikanth Prabhu; Sanchari Das; Mohammad Masum; Saptarshi Sengupta (CoRR, 2024)

Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence. - Krishnaraj Chadaga; Varada Vivek Khanna; Srikanth Prabhu; Niranjana Sampathila; Rajagopala Chadaga; Anisha Palkar (J. Intell. Syst., 2024)

Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database. - Jyothi Vaidyanathan; Shourya Gupta; Justin Lee; Srikanth Prabhu; Saptarshi Sengupta (AAAI Spring Symposia, 2025)

Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication. - U. Sumalatha; K. Krishna Prakasha; Srikanth Prabhu; Vinod C. Nayak (IEEE Access, 2025)