Quantum Machine Learning for Prediction of Compound-Protein Interactions in Drug Discovery. - Prashanth Choppara; Bommareddy Lokesh (ISED, 2024)

Reliability and Trust Aware Task Scheduler for Cloud-Fog Computing Using Advantage Actor Critic (A2C) Algorithm. - Prashanth Choppara; Sudheer Mangalampalli (IEEE Access, 2024)

A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning. - Prashanth Choppara; S. Sudheer Mangalampalli (IEEE Access, 2024)

Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations. - Prashanth Choppara; Bommareddy Lokesh (IEEE Access, 2025)

Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning. - Prashanth Choppara; Bommareddy Lokesh (IEEE Access, 2025)

Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing. - Prashanth Choppara; S. Sudheer Mangalampalli (IEEE Access, 2025)

Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering. - Prashanth Choppara; S. Sudheer Mangalampalli (IEEE Access, 2025)

An efficient deep reinforcement learning based task scheduler in cloud-fog environment. - Prashanth Choppara; Sudheer Mangalampalli (Clust. Comput., 2025)