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Asadi Srinivasulu

Showing results (1-10 of 8) with videos related to

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Scientific Reports|August 29, 2025
Leveraging data analytics to revolutionize cybersecurity with machine learning and deep learningAsadi Srinivasulu, Tae-Hoon Kim, Ravikumar Chinthaginjala, et al.
Scientific Reports|March 18, 2025
COVID-19 health data prediction: a critical evaluation of CNN-based approachesTae Hoon Kim, Ravikumar Chinthaginjala, Asadi Srinivasulu, et al.
Interdisciplinary Perspectives on Infectious Diseases|November 17, 2022
COVID-19 Data Analytics Using Extended Convolutional TechniqueAnand Kumar Gupta, Asadi Srinivasulu, Olutayo Oyeyemi Oyerinde, et al.
Frontiers in Radiology|December 22, 2025
U-FDL-PPE: a unified federated deep learning framework with privacy-preserving explainability for early and accurate viral disease predictionAnupam Agrawal, Asadi Srinivasulu, Anant Mohan, et al.
Interdisciplinary Perspectives on Infectious Diseases|December 23, 2022
Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan ImagesAnand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, et al.
Scientific Reports|July 15, 2025
Hybrid AI and semiconductor approaches for power quality improvementRavikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, et al.
Scientific Reports|March 11, 2025
Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigationTae-Hoon Kim, Asadi Srinivasulu, Ravikumar Chinthaginjala, et al.
Scientific Reports|August 14, 2025
Improving CNN predictive accuracy in COVID-19 health analyticsTae-Hoon Kim, Asadi Srinivasulu, Ravikumar Chinthaginjala, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Scientific Reports|August 29, 2025
Leveraging data analytics to revolutionize cybersecurity with machine learning and deep learningAsadi Srinivasulu, Tae-Hoon Kim, Ravikumar Chinthaginjala, et al.
Scientific Reports|March 18, 2025
COVID-19 health data prediction: a critical evaluation of CNN-based approachesTae Hoon Kim, Ravikumar Chinthaginjala, Asadi Srinivasulu, et al.
Interdisciplinary Perspectives on Infectious Diseases|November 17, 2022
COVID-19 Data Analytics Using Extended Convolutional TechniqueAnand Kumar Gupta, Asadi Srinivasulu, Olutayo Oyeyemi Oyerinde, et al.
Frontiers in Radiology|December 22, 2025
U-FDL-PPE: a unified federated deep learning framework with privacy-preserving explainability for early and accurate viral disease predictionAnupam Agrawal, Asadi Srinivasulu, Anant Mohan, et al.
Interdisciplinary Perspectives on Infectious Diseases|December 23, 2022
Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan ImagesAnand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, et al.
Scientific Reports|July 15, 2025
Hybrid AI and semiconductor approaches for power quality improvementRavikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, et al.
Scientific Reports|March 11, 2025
Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigationTae-Hoon Kim, Asadi Srinivasulu, Ravikumar Chinthaginjala, et al.
Scientific Reports|August 14, 2025
Improving CNN predictive accuracy in COVID-19 health analyticsTae-Hoon Kim, Asadi Srinivasulu, Ravikumar Chinthaginjala, et al.
Pageof 1