K. Jairam Naik
Orcid: 0000-0002-6332-418X
According to our database1,
K. Jairam Naik
authored at least 21 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop.
Multim. Tools Appl., September, 2024
Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning.
Signal Image Video Process., July, 2024
Quantum convolution neural network for multi-nutrient detection and stress identification in plant leaves.
Multim. Tools Appl., July, 2024
Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics.
J. Supercomput., April, 2024
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU.
Ecol. Informatics, March, 2024
A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network.
J. Supercomput., January, 2024
Multim. Tools Appl., January, 2024
Applications of Bluetooth and Wi-Fi-Direct for local communication and their performance evaluation.
Int. J. Commun. Networks Distributed Syst., 2024
Int. J. Auton. Adapt. Commun. Syst., 2024
Aquaculture Water Quality Classification with Sparse Attention Transformers: Leveraging Water and Environmental Parameters.
Proceedings of the 13th International Conference on Software and Computer Applications, 2024
2023
Prediction and detection of emotional tone in online social media mental disorder groups using regression and recurrent neural networks.
Multim. Tools Appl., November, 2023
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net.
New Gener. Comput., June, 2023
Int. J. Intell. Syst. Technol. Appl., 2023
2022
An echo-based autonomous real-time system for efficient maintenance of students attendance.
Int. J. Intell. Inf. Database Syst., 2022
An Adaptive Push-Pull for Disseminating Dynamic Workload and Virtual Machine Live Migration in Cloud Computing.
Int. J. Grid High Perform. Comput., 2022
2021
Workflow scheduling optimisation for distributed environment using artificial neural networks and reinforcement learning.
Int. J. Comput. Sci. Eng., 2021
Dynamic workflow scheduling in the cloud using a neural network-based multi-objective evolutionary algorithm.
Int. J. Commun. Networks Distributed Syst., 2021
A cloud-fog computing system for classification and scheduling the information-centric IoT applications.
Int. J. Commun. Networks Distributed Syst., 2021
A deadline-based elastic approach for balanced task scheduling in computing cloud environment.
Int. J. Cloud Comput., 2021
2020
Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing.
Scalable Comput. Pract. Exp., 2020
Classification and Scheduling of Information-Centric IoT Applications in Cloud- Fog Computing Architecture (CS_IcIoTA).
Proceedings of the 14th International Conference on Innovations in Information Technology, 2020