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2020 – today
- 2025
[j20]Surya Babu, Kartikey Thawait, Arepalli Peda Gopi, Ulligaddala Srinivasarao, K. Jairam Naik:
An EfficientNet-B0 Framework for Nitrogen Stress Identification in Sustainable Precision Farming Plants. Cogn. Comput. 17(5): 148 (2025)- [j19]Akshat Agrawal, Aayush Agrawal, Nilesh Kumar Verma, Arepalli Peda Gopi, K. Jairam Naik:
A graph reinforcement LearningPowered Online-Computational task offloading and latency minimization framework for wireless mobile edge computing networks. Cogn. Syst. Res. 91: 101355 (2025) - [j18]Peda Gopi Arepalli, K. Jairam Naik:
Water quality classification framework for IoT-enabled aquaculture ponds using deep learning based flexible temporal network model. Earth Sci. Informatics 18(4): 351 (2025) - [j17]Nilesh Kumar Verma
, K. Jairam Naik:
Graph Reinforcement and Asynchronous Federated Learning based task offloading in fog computing. Phys. Commun. 72: 102776 (2025) - 2024
- [j16]Peda Gopi Arepalli, K. Jairam Naik:
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU. Ecol. Informatics 79: 102405 (2024) - [j15]Ishu Rani, Bhushan Thakre, K. Jairam Naik:
IoT-based vehicular accident detection using a deep learning model. Int. J. Auton. Adapt. Commun. Syst. 17(1): 1-23 (2024) - [j14]Yugbhanu Rajwade, Divy Arpit, K. Jairam Naik:
Applications of Bluetooth and Wi-Fi-Direct for local communication and their performance evaluation. Int. J. Commun. Networks Distributed Syst. 30(3): 243-263 (2024) - [j13]Mamidipaka Tejaswini, T. Hari Sumanth, K. Jairam Naik:
Single image deraining using modified bilateral recurrent network (modified_BRN). Multim. Tools Appl. 83(2): 3373-3396 (2024) - [j12]Kummari Venkatesh, K. Jairam Naik, Achyut Shankar:
Quantum convolution neural network for multi-nutrient detection and stress identification in plant leaves. Multim. Tools Appl. 83(24): 65663-65685 (2024) - [j11]Kummari Venkatesh, K. Jairam Naik:
An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop. Multim. Tools Appl. 83(32): 78535-78561 (2024) - [j10]Kummari Venkatesh, K. Jairam Naik:
Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning. Signal Image Video Process. 18(5): 4553-4568 (2024) - [j9]Peda Gopi Arepalli, K. Jairam Naik:
A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network. J. Supercomput. 80(2): 2718-2747 (2024) - [j8]Nilesh Kumar Verma, K. Jairam Naik:
Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics. J. Supercomput. 80(6): 8202-8235 (2024) - 2023
- [j7]Chandrabhanu Bajpai, Ramnarayan Sahu, K. Jairam Naik:
Deep learning model for plant-leaf disease detection in precision agriculture. Int. J. Intell. Syst. Technol. Appl. 21(1): 72-91 (2023) - 2022
- [j6]Shritesh Jamulkar, Milind Kumar Verma, K. Jairam Naik:
An echo-based autonomous real-time system for efficient maintenance of students attendance. Int. J. Intell. Inf. Database Syst. 15(4): 353-376 (2022) - 2021
- [j5]K. Jairam Naik:
A deadline-based elastic approach for balanced task scheduling in computing cloud environment. Int. J. Cloud Comput. 10(5/6): 579-602 (2021) - [j4]K. Jairam Naik:
A cloud-fog computing system for classification and scheduling the information-centric IoT applications. Int. J. Commun. Networks Distributed Syst. 27(4): 388-423 (2021) - [j3]K. Jairam Naik, Siddharth Chandra, Paras Agarwal:
Dynamic workflow scheduling in the cloud using a neural network-based multi-objective evolutionary algorithm. Int. J. Commun. Networks Distributed Syst. 27(4): 424-451 (2021) - [j2]K. Jairam Naik, Mounish Pedagandam, Amrita Mishra:
Workflow scheduling optimisation for distributed environment using artificial neural networks and reinforcement learning. Int. J. Comput. Sci. Eng. 24(6): 653-670 (2021) - 2020
- [j1]K. Jairam Naik, D. Hanumanth Naik:
Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing. Scalable Comput. Pract. Exp. 21(1): 73-84 (2020) - [c1]K. Jairam Naik:
Classification and Scheduling of Information-Centric IoT Applications in Cloud- Fog Computing Architecture (CS_IcIoTA). IIT 2020: 82-87
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