Srikanth Prabhu
Orcid: 0000-0002-3826-1084
According to our database1,
Srikanth Prabhu
authored at least 30 papers
between 2017 and 2024.
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Bibliography
2024
Deep Learning Applications in ECG Analysis and Disease Detection: An Investigation Study of Recent Advances.
IEEE Access, 2024
A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection.
IEEE Access, 2024
An Approach Toward Classifying Plant-Leaf Diseases and Comparisons With the Conventional Classification.
IEEE Access, 2024
Facial Similarity Measure for Recognizing Monozygotic Twins Utilizing 3D Facial Landmarks, Efficient Geodesic Distance Computation, and Machine Learning Algorithms.
IEEE Access, 2024
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas.
IEEE Access, 2024
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health.
IEEE Access, 2024
2023
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence.
Inf., 2023
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.
Intell. Decis. Technol., 2023
2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications.
IEEE Access, 2023
2022
Netw. Model. Anal. Health Informatics Bioinform., 2022
Use of Machine Learning for Early Detection of Knee Osteoarthritis and Quantifying Effectiveness of Treatment Using Force Platform.
J. Sens. Actuator Networks, 2022
Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters.
Inf., 2022
Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism.
Inf., 2022
Integration of a machine learning model into a decision support tool to predict absenteeism at work of prospective employees.
CoRR, 2022
IEEE Access, 2022
Enhancing Face Recognition Accuracy Using the ED-FFP Extraction Method and Ensemble Learning for Forensics and Cyber Security.
Proceedings of the Applications and Techniques in Information Security, 2022
Analysis of Classification Algorithms for Predicting Parkinson's Disease and Applications in the Field of Cybersecurity.
Proceedings of the Applications and Techniques in Information Security, 2022
Proceedings of the Applications and Techniques in Information Security, 2022
2021
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Effectiveness of the Use of Golden Ratio in Identifying Similar Faces Using Ensemble Learning.
Proceedings of the Applications and Techniques in Information Security, 2021
Proceedings of the Applications and Techniques in Information Security, 2021
Proceedings of the Applications and Techniques in Information Security, 2021
Cognitive Artificial Intelligence Computing Modeling Process in Meta Cognitive Architecture Carina.
Proceedings of the Applications and Techniques in Information Security, 2021
2020
Improving the Performance of Convolutional Neural Network for the Segmentation of Optic Disc in Fundus Images Using Attention Gates and Conditional Random Fields.
IEEE Access, 2020
Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach.
Proceedings of the 2020 IEEE Region 10 Conference, 2020
2019
IEEE Access, 2019
2018
An Optimized Parallel Algorithm for Exact String Matching Using Message Passing Interface.
Proceedings of the Applications and Techniques in Information Security, 2018
2017
Information hiding through dynamic text steganography and cryptography: Computing and Informatics.
Proceedings of the 2017 International Conference on Advances in Computing, 2017