Abhiram Sharma

According to our database, Abhiram Sharma authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

SpectroNet-LSTM: An interpretable deep learning approach to cardiac anomaly detection through heartbeat sound analysis.

Abhiram Sharma, R. Srivats, P. B. Krishna, Utkarsh Mishra, Krithiga R., Nachiyappan S.

Comput. Biol. Medicine, 2025

SHERA: SHAP-Enhanced Resource Allocation for VM Scheduling and Efficient Cloud Computing.

Ashwin Singh Slathia, Abhiram Sharma, P. B. Krishna, Saksham Anand, Ayush Rathi, Linda Joseph, Xiao Zhi Gao

IEEE Access, 2025

Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3.

Abhiram Sharma, Parvathi Ramasubramanian

IEEE Access, 2025

2024

Network Efficient Hierarchical Authentication Algorithm for Secure Communication in IoT and IoE.

Abhiram Sharma, R. Suganya, P. B. Krishna, Rudra Raj, Raja Kumar Murugesan

IEEE Access, 2024

Explainable AI and Deep Learning for Brain Tumor Classification: A Comprehensive Approach Using Grad-CAM Visualization.

Deepika Roselind Johnson, R. Srivats, Abhiram Sharma, V. Kalyanasundaram

Proceedings of the Computer Vision and Image Processing - 9th International Conference, 2024

Interpretable Deep Learning For Automated Retinal Damage Detection in Optical Coherence Tomography.

R. Suganya, Abhiram Sharma, R. Srivats, V. Kalyanasundaram, Selvanayaki Kolandapalayam Shanmugam

Proceedings of the IEEE International Conference on Big Data, 2024