Manimurugan Shanmuganathan
Orcid: 0000-0003-1837-6797
According to our database1,
Manimurugan Shanmuganathan
authored at least 18 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
A Smart CIoT With Secure Healthcare Framework Using Optimized Deep Recuperator Neural Network Long Short-Term Memory.
IEEE Internet Things J., March, 2024
2023
Stacking ensemble approach for DDoS attack detection in software-defined cyber-physical systems.
Comput. Electr. Eng., April, 2023
Non-divergent traffic management scheme using classification learning for smart transportation systems.
Comput. Electr. Eng., March, 2023
Ovarian cysts classification using novel deep reinforcement learning with Harris Hawks Optimization method.
J. Supercomput., 2023
Hybrid high performance intelligent computing approach of CACNN and RNN for skin cancer image grading.
Soft Comput., 2023
Int. J. Intell. Syst., 2023
Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO).
Appl. Soft Comput., 2023
2022
A user-based video recommendation approach using CAC filtering, PCA with LDOS-CoMoDa.
J. Supercomput., 2022
Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence.
Sensors, 2022
Comput. Syst. Sci. Eng., 2022
Concurr. Comput. Pract. Exp., 2022
2020
Detection of heartbeat sounds arrhythmia using automatic spectral methods and cardiac auscultatory.
J. Supercomput., 2020
Intrusion detection in networks using crow search optimization algorithm with adaptive neuro-fuzzy inference system.
Microprocess. Microsystems, 2020
Review of advanced computational approaches on multiple sclerosis segmentation and classification.
IET Signal Process., 2020
Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network.
IEEE Access, 2020
2019
A new secure transmission scheme between senders and receivers using HVCHC without any loss.
EURASIP J. Wirel. Commun. Netw., 2019
2015
Secure and Efficient Medical Image Transmission by New Tailored Visual Cryptography Scheme with LS Compressions.
Int. J. Digit. Crime Forensics, 2015