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K. Jairam Naik
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2020 – today
- 2024
- [j18]Peda Gopi Arepalli
, K. Jairam Naik:
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU. Ecol. Informatics 79: 102405 (2024) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c2]Peda Gopi Arepalli
, K. Jairam Naik
, Jitendra Kumar Rout
:
Aquaculture Water Quality Classification with Sparse Attention Transformers: Leveraging Water and Environmental Parameters. ICSCA 2024: 318-325 - 2023
- [j10]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) - [j9]Sai Dheeraj Kanaparthi, Anjali Patle, K. Jairam Naik
:
Prediction and detection of emotional tone in online social media mental disorder groups using regression and recurrent neural networks. Multim. Tools Appl. 82(28): 43819-43839 (2023) - [j8]Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao, K. Jairam Naik
:
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net. New Gener. Comput. 41(2): 475-502 (2023) - 2022
- [j7]K. Jairam Naik
:
An Adaptive Push-Pull for Disseminating Dynamic Workload and Virtual Machine Live Migration in Cloud Computing. Int. J. Grid High Perform. Comput. 14(1): 1-25 (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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