K. Jairam Naik

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Online Social Media

Cloud Computing

Top Venues

Multim. Tools Appl.

Int. J. Commun. Networks Distributed Syst.

J. Supercomput.

Int. J. Cloud Comput.

Publications

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) (2024)
Mamidipaka Tejaswini, T. Hari Sumanth, K. Jairam Naik
Single image deraining using modified bilateral recurrent network (modified_BRN). Multim. Tools Appl. 83 (2) (2024)
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) (2024)
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) (2024)
Arepalli Peda Gopi, 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) (2024)
Nilesh Kumar Verma, K. Jairam Naik
Optimized fog community framework with advanced genetic algorithm for enhanced performance dynamics. J. Supercomput. 80 (6) (2024)
Peda Gopi Arepalli, K. Jairam Naik
Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU. Ecol. Informatics 79 (2024)
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) (2024)
Peda Gopi Arepalli, K. Jairam Naik, Jitendra Kumar Rout
Aquaculture Water Quality Classification with Sparse Attention Transformers: Leveraging Water and Environmental Parameters. ICSCA (2024)
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) (2023)
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) (2023)
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) (2023)
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) (2022)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
K. Jairam Naik
A deadline-based elastic approach for balanced task scheduling in computing cloud environment. Int. J. Cloud Comput. 10 (5/6) (2021)
K. Jairam Naik
Classification and Scheduling of Information-Centric IoT Applications in Cloud- Fog Computing Architecture (CS_IcIoTA). IIT (2020)
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) (2020)