K. Jairam Naik

23 papers Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A quantization training based deep learning for plant disease detections, severity and yield-loss prediction in sustainable agriculture.
Soft Comput.
Silla Suhani, Arepalli Peda Gopi, K. Jairam Naik
2026 J jnl
Drift-plus-penalty guided graph reinforcement learning for stable content caching in fog-cloud continuum.
Appl. Soft Comput.
Nilesh Kumar Verma, K. Jairam Naik
2025 J jnl
A graph reinforcement LearningPowered Online-Computational task offloading and latency minimization framework for wireless mobile edge computing networks.
Cogn. Syst. Res.
Akshat Agrawal, Aayush Agrawal, Nilesh Kumar Verma, Arepalli Peda Gopi, K. Jairam Naik
2025 J jnl
An EfficientNet-B0 Framework for Nitrogen Stress Identification in Sustainable Precision Farming Plants.
Cogn. Comput.
Surya Babu, Kartikey Thawait, Arepalli Peda Gopi, Ulligaddala Srinivasarao, K. Jairam Naik
2025 J jnl
Graph Reinforcement and Asynchronous Federated Learning based task offloading in fog computing.
Phys. Commun.
Nilesh Kumar Verma, K. Jairam Naik
2025 J jnl
Water quality classification framework for IoT-enabled aquaculture ponds using deep learning based flexible temporal network model.
Earth Sci. Informatics
Peda Gopi Arepalli, K. Jairam Naik
2024 J jnl
A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network.
J. Supercomput.
Peda Gopi Arepalli, K. Jairam Naik
2024 J jnl
An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop.
Multim. Tools Appl.
Kummari Venkatesh, K. Jairam Naik
2024 J jnl
Applications of Bluetooth and Wi-Fi-Direct for local communication and their performance evaluation.
Int. J. Commun. Networks Distributed Syst.
Yugbhanu Rajwade, Divy Arpit, K. Jairam Naik
2024 J jnl
IoT-based vehicular accident detection using a deep learning model.
Int. J. Auton. Adapt. Commun. Syst.
Ishu Rani, Bhushan Thakre, K. Jairam Naik
2024 J jnl
Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning.
Signal Image Video Process.
Kummari Venkatesh, K. Jairam Naik
2024 J jnl
Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics.
J. Supercomput.
Nilesh Kumar Verma, K. Jairam Naik
2024 J jnl
Quantum convolution neural network for multi-nutrient detection and stress identification in plant leaves.
Multim. Tools Appl.
Kummari Venkatesh, K. Jairam Naik, Achyut Shankar
2024 J jnl
Single image deraining using modified bilateral recurrent network (modified_BRN).
Multim. Tools Appl.
Mamidipaka Tejaswini, T. Hari Sumanth, K. Jairam Naik
2024 J jnl
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU.
Ecol. Informatics
Peda Gopi Arepalli, K. Jairam Naik
2023 J jnl
Deep learning model for plant-leaf disease detection in precision agriculture.
Int. J. Intell. Syst. Technol. Appl.
Chandrabhanu Bajpai, Ramnarayan Sahu, K. Jairam Naik
2022 J jnl
An echo-based autonomous real-time system for efficient maintenance of students attendance.
Int. J. Intell. Inf. Database Syst.
Shritesh Jamulkar, Milind Kumar Verma, K. Jairam Naik
2021 J jnl
A cloud-fog computing system for classification and scheduling the information-centric IoT applications.
Int. J. Commun. Networks Distributed Syst.
K. Jairam Naik
2021 J jnl
A deadline-based elastic approach for balanced task scheduling in computing cloud environment.
Int. J. Cloud Comput.
K. Jairam Naik
2021 J jnl
Dynamic workflow scheduling in the cloud using a neural network-based multi-objective evolutionary algorithm.
Int. J. Commun. Networks Distributed Syst.
K. Jairam Naik, Siddharth Chandra, Paras Agarwal
2021 J jnl
Workflow scheduling optimisation for distributed environment using artificial neural networks and reinforcement learning.
Int. J. Comput. Sci. Eng.
K. Jairam Naik, Mounish Pedagandam, Amrita Mishra
2020 — conf
Classification and Scheduling of Information-Centric IoT Applications in Cloud- Fog Computing Architecture (CS_IcIoTA).
IIT
K. Jairam Naik
2020 J jnl
Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing.
Scalable Comput. Pract. Exp.
K. Jairam Naik, D. Hanumanth Naik