K. Jairam Naik

According to our database, K. Jairam Naik authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics.

Nilesh Kumar Verma, K. Jairam Naik

J. Supercomput., April, 2024

Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU.

Peda Gopi Arepalli, K. Jairam Naik

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.

Peda Gopi Arepalli, K. Jairam Naik

J. Supercomput., January, 2024

Single image deraining using modified bilateral recurrent network (modified_BRN).

Mamidipaka Tejaswini, T. Hari Sumanth, K. Jairam Naik

Multim. Tools Appl., January, 2024

IoT-based vehicular accident detection using a deep learning model.

Ishu Rani, Bhushan Thakre, K. Jairam Naik

Int. J. Auton. Adapt. Commun. Syst., 2024

2023

Prediction and detection of emotional tone in online social media mental disorder groups using regression and recurrent neural networks.

Sai Dheeraj Kanaparthi, Anjali Patle, K. Jairam Naik

Multim. Tools Appl., November, 2023

Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net.

Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao, K. Jairam Naik

New Gener. Comput., June, 2023

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

2022

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

An Adaptive Push-Pull for Disseminating Dynamic Workload and Virtual Machine Live Migration in Cloud Computing.

K. Jairam Naik

Int. J. Grid High Perform. Comput., 2022

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

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

A cloud-fog computing system for classification and scheduling the information-centric IoT applications.

K. Jairam Naik

Int. J. Commun. Networks Distributed Syst., 2021

A deadline-based elastic approach for balanced task scheduling in computing cloud environment.

K. Jairam Naik

Int. J. Cloud Comput., 2021

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

Classification and Scheduling of Information-Centric IoT Applications in Cloud- Fog Computing Architecture (CS_IcIoTA).

K. Jairam Naik

Proceedings of the 14th International Conference on Innovations in Information Technology, 2020