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Sarappadi Narasimha Prasad

Observed names: Dr. S N Prasad, Dr. S N Prasad**, Prasad S N, Prasad, S. N., S N Prasad, S. N Prasad, S. N. Prasad
ORCID: 0000-0002-8304-8506
Observed ORCID: 0000-0002-8304-8506
OpenAlex ID: A5016290786
Machine learning based sensitivity analysis for the applications in the prediction and detection of cancer disease
2019 · Sugandha Saxena, S. N Prasad · IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) · 16
Blockchain-Enabled Detection of Neurological Disorders Using a Deep Learning Approach
2024 · Kavya Bittasandra Sachidananda Murthy, Sarappadi Narasimha Prasad · International Conference on Recent Advances in Science and Engineering (RAiSE) · 13
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Design of novel convolution neural network model for lung cancer detection by using sensitivity maps
2024 · Sugandha Saxena, Sarappadi Narasimha Prasad · IAES International Journal of Artificial Intelligence · 10
Quantum-Resilient Cryptography: A Survey on Classical and Quantum Algorithms
2025 · H. A. Sharath, Jayavrinda Vrindavanam, et al. · IEEE Access · 9
Assessment of Image Quality Metrics by Means of Various Preprocessing Filters for Lung CT Scan Images
2022 · Sugandha Saxena, S. N. Prasad, et al. · Lecture notes in electrical engineering · 9
RETRACTED ARTICLE: A Detailed Evolutionary Scrutiny of PEIS with GPS Fleet Tracker and AOMDV-SAPTV Based on Throughput, Delay, Accuracy, Error Rate, and Success Rate
2021 · M. Thurai Pandian, Sarappadi Narasimha Prasad, et al. · Wireless Personal Communications · 6
Correction to: A Detailed Evolutionary Scrutiny of PEIS with GPS Fleet Tracker and AOMDV-SAPTV Based on Throughput, Delay, Accuracy, Error Rate, and Success Rate
2021 · M. Thurai Pandian, Sarappadi Narasimha Prasad, et al. · Wireless Personal Communications · 5
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Hybrid deep convolution model for lung cancer detection with transfer learning
2025 · Saxena, Sugandha, Prasad, S. N., et al. · arXiv (Cornell University) · 3
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Adversarial sketch-photo transformation for enhanced face recognition accuracy: a systematic analysis and evaluation
2023 · Raghavendra Mandara Shetty Kirimanjeshwara, Sarappadi Narasimha Prasad · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 3
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Compressive Spectrum Sensing for Wideband Signals Using Improved Matching Pursuit Algorithms
2022 · R. Anupama, S. Y. Kulkarni, et al. · Lecture notes in electrical engineering · 3
Comparative Study of Selector Device Design for Sneak Current in 3D Crosspoint ReRAM
2020 · U Dilna, S N Prasad · International Conference on Multimedia Processing, Communication & Information Technology (MPCIT) · 3
Comparative study of Narrowband and Wideband Opportunistic Spectrum Access Techniques
2019 · Anupama R, S. Y. Kulkarni, et al. · IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) · 3
A Comparative Analysis of Advanced Deep Learning Techniques for Accurate Cardiac Arrhythmia Classification
2025 · Anniah Pratima, K. Gopalakrishna, et al. · Engineering Technology & Applied Science Research · 2
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Enhancing data security on a self-defensive Jacket Along with Microphone using IoT Technology and Cloud Computing
2022 · Malathi Acharya, Prasad S N · International Conference on Technological Advancements in Computational Sciences (ICTACS) · 2
Fault tolerant design for 8-bit Dadda multiplier for neural network applications
2025 · Raji Chandrasekharan, Sarappadi Narasimha Prasad · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 1
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A robust penalty regression function-based deep convolutional neural network for accurate cardiac arrhythmia classification using electrocardiogram signals
2024 · Anniah Pratima, Gopalakrishna Kanathur, et al. · IAES International Journal of Artificial Intelligence · 1
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Feature Fusion for Epileptic Seizure Detection from EEG Data: A CNN- Based Approach with High Precision
2024 · Kavya B S, S. N. Prasad · Research Square · 1
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Wide-band spectrum sensing with convolution neural network using spectral correlation function
2023 · Anupama Rajanna, Srimannarayana Kulkarni, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 1
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Intermediate Learning-Based Attention Regulated Densenet for Diagnosis of Covid-19
2023 · Roshan Shetty, S N Prasad, et al. · Indian Journal of Science and Technology · 1
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A Hybrid Design for Low-Power Fault Tolerant One-Bit Full Adder for Neural Network Applications
2022 · C. Raji, S. N. Prasad · Lecture notes in electrical engineering · 1
Analogy of Algorithms for Automatic Epileptic Seizure Detection
2020 · Kavya B S, S N Prasad · International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) · 1
CTF controller for CT scan using Beagle Bone Black
2016 · Vrashali Kathare, S N Prasad · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · 1
Enhanced diabetes prediction using SMOTE-Tomek and F1-optimized machine learning models
2026 · Chaitra Nayak Janasale, Rajanikanta Mohanty, et al. · IAES International Journal of Artificial Intelligence
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Ensemble-Based Machine Learning Framework for Early Diabetes Prediction Using Localized and Normalized Data
2026 · Chaitra Nayak J, Rajanikanta Mohanty, et al. · Recent Advances in Computer Science and Communications
Retraction Note: A Detailed Evolutionary Scrutiny of PEIS with GPS Fleet Tracker and AOMDV-SAPTV Based on Throughput, Delay, Accuracy, Error Rate, and Success Rate
2026 · M. Thurai Pandian, Sarappadi Narasimha Prasad, et al. · Wireless Personal Communications
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Works count: 37
Citation count: 95
H-index: 6
I10-index: 3
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