Classification and Scheduling of Information-Centric IoT Applications in Cloud- Fog Computing Architecture (CS_IcIoTA). - K. Jairam Naik (IIT, 2020)

Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing. - K. Jairam Naik; D. Hanumanth Naik (Scalable Comput. Pract. Exp., 2020)

A deadline-based elastic approach for balanced task scheduling in computing cloud environment. - K. Jairam Naik (Int. J. Cloud Comput., 2021)

A cloud-fog computing system for classification and scheduling the information-centric IoT applications. - K. Jairam Naik (Int. J. Commun. Networks Distributed Syst., 2021)

Dynamic workflow scheduling in the cloud using a neural network-based multi-objective evolutionary algorithm. - K. Jairam Naik; Siddharth Chandra; Paras Agarwal (Int. J. Commun. Networks Distributed Syst., 2021)

Workflow scheduling optimisation for distributed environment using artificial neural networks and reinforcement learning. - K. Jairam Naik; Mounish Pedagandam; Amrita Mishra (Int. J. Comput. Sci. Eng., 2021)

An echo-based autonomous real-time system for efficient maintenance of students attendance. - Shritesh Jamulkar; Milind Kumar Verma; K. Jairam Naik (Int. J. Intell. Inf. Database Syst., 2022)

Deep learning model for plant-leaf disease detection in precision agriculture. - Chandrabhanu Bajpai; Ramnarayan Sahu; K. Jairam Naik (Int. J. Intell. Syst. Technol. Appl., 2023)

IoT-based vehicular accident detection using a deep learning model. - Ishu Rani; Bhushan Thakre; K. Jairam Naik (Int. J. Auton. Adapt. Commun. Syst., 2024)

Applications of Bluetooth and Wi-Fi-Direct for local communication and their performance evaluation. - Yugbhanu Rajwade; Divy Arpit; K. Jairam Naik (Int. J. Commun. Networks Distributed Syst., 2024)

Single image deraining using modified bilateral recurrent network (modified_BRN). - Mamidipaka Tejaswini; T. Hari Sumanth; K. Jairam Naik (Multim. Tools Appl., 2024)

A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network. - Peda Gopi Arepalli; K. Jairam Naik (J. Supercomput., 2024)

Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU. - Peda Gopi Arepalli; K. Jairam Naik (Ecol. Informatics, 2024)

Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics. - Nilesh Kumar Verma; K. Jairam Naik (J. Supercomput., 2024)

Quantum convolution neural network for multi-nutrient detection and stress identification in plant leaves. - Kummari Venkatesh; K. Jairam Naik; Achyut Shankar (Multim. Tools Appl., 2024)

Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning. - Kummari Venkatesh; K. Jairam Naik (Signal Image Video Process., 2024)

An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop. - Kummari Venkatesh; K. Jairam Naik (Multim. Tools Appl., 2024)

A graph reinforcement LearningPowered Online-Computational task offloading and latency minimization framework for wireless mobile edge computing networks. - Akshat Agrawal; Aayush Agrawal; Nilesh Kumar Verma; Arepalli Peda Gopi; K. Jairam Naik (Cogn. Syst. Res., 2025)

Graph Reinforcement and Asynchronous Federated Learning based task offloading in fog computing. - Nilesh Kumar Verma; K. Jairam Naik (Phys. Commun., 2025)

Water quality classification framework for IoT-enabled aquaculture ponds using deep learning based flexible temporal network model. - Peda Gopi Arepalli; K. Jairam Naik (Earth Sci. Informatics, 2025)