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srikanth srinivas Prabhu
srikanth srinivas Prabhu
Manipal Institute of Technology
Verified email at manipal.edu - Homepage
Title
Cited by
Cited by
Year
Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study.
R Kamath, M Balachandra, S Prabhu
Ieee Access 7 (0), 45110-45122, 2019
882019
Clinical and laboratory approach to diagnose COVID-19 using machine learning
K Chadaga, C Chakraborty, S Prabhu, S Umakanth, V Bhat, N Sampathila
Interdisciplinary sciences: Computational life sciences 14 (2), 452-470, 2022
592022
A peer to peer money transfer using SHA256 and Merkle tree
S Dhumwad, M Sukhadeve, C Naik, KN Manjunath, S Prabhu
2017 23RD Annual International Conference in Advanced Computing and …, 2017
542017
Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
N Sampathila, K Chadaga, N Goswami, RP Chadaga, M Pandya, ...
Healthcare 10 (10), 1812, 2022
532022
Improving the performance of convolutional neural network for the segmentation of optic disc in fundus images using attention gates and conditional random fields
BJ Bhatkalkar, DR Reddy, S Prabhu, SV Bhandary
IEEE Access 8, 29299-29310, 2020
522020
A distinctive explainable machine learning framework for detection of polycystic ovary syndrome
VV Khanna, K Chadaga, N Sampathila, S Prabhu, V Bhandage, ...
Applied System Innovation 6 (2), 32, 2023
502023
Diagnosing COVID-19 using artificial intelligence: A comprehensive review
VV Khanna, K Chadaga, N Sampathila, S Prabhu, R Chadaga, ...
Network Modeling Analysis in Health Informatics and Bioinformatics 11 (1), 25, 2022
482022
Application of artificial intelligence techniques for monkeypox: a systematic review
K Chadaga, S Prabhu, N Sampathila, S Nireshwalya, SS Katta, RS Tan, ...
Diagnostics 13 (5), 824, 2023
452023
AI‐Assisted Tuberculosis Detection and Classification from Chest X‐Rays Using a Deep Learning Normalization‐Free Network Model
V Acharya, G Dhiman, K Prakasha, P Bahadur, A Choraria, S Prabhu, ...
Computational Intelligence and Neuroscience 2022 (1), 2399428, 2022
442022
Classification of malaria using object detection models
P Krishnadas, K Chadaga, N Sampathila, S Rao, S Prabhu
Informatics 9 (4), 76, 2022
372022
Paddy crop and weed discrimination: A multiple classifier system approach
R Kamath, M Balachandra, S Prabhu
International Journal of Agronomy 2020 (1), 6474536, 2020
362020
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
VV Khanna, K Chadaga, N Sampathila, S Prabhu, R Chadaga
Decision Analytics Journal 7, 100246, 2023
342023
Deep learning based detection of monkeypox virus using skin lesion images
T Nayak, K Chadaga, N Sampathila, H Mayrose, N Gokulkrishnan, ...
Medicine in Novel Technology and Devices 18, 100243, 2023
342023
A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence
K Chadaga, S Prabhu, V Bhat, N Sampathila, S Umakanth, R Chadaga
Bioengineering 10 (4), 439, 2023
342023
Crop and weed discrimination using Laws’ texture masks
R Kamath, M Balachandra, S Prabhu
International Journal of Agricultural and Biological Engineering 13 (1), 191-197, 2020
342020
Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters
A Pradhan, S Prabhu, K Chadaga, S Sengupta, G Nath
Information 13 (7), 330, 2022
332022
Battling COVID-19 using machine learning: A review
K Chadaga, S Prabhu, BK Vivekananda, S Niranjana, S Umakanth
Cogent Engineering 8 (1), 1958666, 2021
302021
Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach
D Verma, S Puri, S Prabhu, K Smriti
2020 IEEE region 10 conference (TENCON), 263-268, 2020
282020
Medical diagnosis of COVID-19 using blood tests and machine learning
K Chadaga, S Prabhu, K Vivekananda Bhat, S Umakanth, N Sampathila
Journal of Physics: Conference Series 2161 (1), 012017, 2022
272022
COVID-19 mortality prediction among patients using epidemiological parameters: an ensemble machine learning approach
K Chadaga, S Prabhu, S Umakanth, K Bhat, N Sampathila, R Chadaga
Engineered Science 16 (10), 221-233, 2021
252021
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