S. Supreeth

According to our database, S. Supreeth authored at least 21 papers between 2022 and 2025.

Collaborative distances:

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

2025

Leveraging machine learning for intelligent agriculture.

B. J. Sowmya, Meeradevi, S. Supreeth, D. Pradeep Kumar, B. N. Ravi Kumar, S. Rohith, Divyansh Mishra, Abhishek Koushik, Ankit U. Patil

Discov. Internet Things, December, 2025

Air quality and dust level monitoring systems in hospitals using IoT.

A. Parkavi, B. J. Sowmya, Sini Anna Alex, S. Supreeth, G. Shruthi, S. Rohith, Sudipta Chatterjee, K. Lingaraj

Discov. Internet Things, December, 2025

Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model.

S. Trisheela, Roshan Fernandes, Anisha P. Rodrigues, S. Supreeth, Ambika B. J., Piyush Kumar Pareek, Rakesh Kumar Godi, G. Shruthi

Int. J. Biomed. Imaging, 2025

A predictive energy-efficient adaptive routing methodology for Mobile Ad hoc Networks.

Neelam Malyadri, Ramakrishna M, Rajesh Nandalike, Pundalik Chavan, S. Supreeth, Dayananda P., S. Rohith

IET Networks, 2025

Improvising the Performance of Nomadic Vehicular Cloud by Reducing Task Migrations.

Rakesh Kumar Godi, Swathi Agarwal, A. S. Hamsa, S. Supreeth, Ambika B. J., S. Rohith

IET Networks, 2025

2024

Skin Cancer Prediction by Incorporating Bio-inspired Optimization in Deep Neural Network.

Monica R. Mundada, B. J. Sowmya, S. Supreeth, Smitha G. Prabhu, K. Mahesh, Y. Vishwanath, S. Rohith

SN Comput. Sci., December, 2024

Hybrid RNN Based Text Classification Model for Unstructured Data.

Pramod Sunagar, B. J. Sowmya, Dayananda Pruthviraja, S. Supreeth, Jimpson Mathew, S. Rohith, G. Shruthi

SN Comput. Sci., August, 2024

Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning.

Pundalik Chavan, H. Hanumanthappa, E. G. Satish, Sunil Manoli, S. Supreeth, S. Rohith, H. C. Ramaprasad

SN Comput. Sci., June, 2024

Virtual Machine Placement Using Adam White Shark Optimization Algorithm in Cloud Computing.

S. Supreeth, S. Bhargavi, Rakesh Margam, H. Annaiah, Rajesh Nandalike

SN Comput. Sci., January, 2024

A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques.

Sowmya B. J., Meeradevi, S. Seema, Dayananda P., S. Supreeth, G. Shruthi, S. Rohith

Int. J. Interact. Mob. Technol., January, 2024

Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter.

K. Lingaraj, S. Supreeth, Yerriswamy T., Dayananda P., S. Rohith, G. Shruthi

Appl. Comput. Intell. Soft Comput., 2024

Dysfluent Speech Classification Using Variational Mode Decomposition and Complete Ensemble Empirical Mode Decomposition Techniques With NGCU-Based RNN.

N. A. Vinay, K. N. Vidyasagar, S. Rohith, S. Supreeth, S. N. Prasad, S. Pramod Kumar, S. H. Bharathi

IEEE Access, 2024

An RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process.

N. A. Vinay, K. N. Vidyasagar, S. Rohith, Dayananda Pruthviraja, S. Supreeth, S. H. Bharathi

IEEE Access, 2024

2023

An Efficient Framework for Web Content Mining Systems Using Improved CD-PAM Clustering and the A-CNN Technique.

Manjunath Pujar, Monica R. Mundada, B. J. Sowmya, S. Supreeth, G. Shruthi

SN Comput. Sci., September, 2023

Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture.

H. V. Ramachandra, Pundalik Chavan, S. Supreeth, H. C. Ramaprasad, K. Chatrapathy, G. Balaraju, S. Rohith, H. S. Mohan

J. Electr. Comput. Eng., 2023

Design and Development of Walking Monitoring System for Gait Analysis.

K. T. Krishnamurthy, S. Rohith, G. M. Basavaraj, S. Swathi, S. Supreeth

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

2022

Resource Allocation Using Weighted Greedy Knapsack Based Algorithm in an Educational Fog Computing Environment.

G. Shruthi, Monica R. Mundada, S. Supreeth

Int. J. Emerg. Technol. Learn., September, 2022

Hybrid Genetic Algorithm and Modified-Particle Swarm Optimization Algorithm (GA-MPSO) for Predicting Scheduling Virtual Machines in Educational Cloud Platforms.

S. Supreeth, Kirankumari Patil

Int. J. Emerg. Technol. Learn., April, 2022

An Efficient Policy-Based Scheduling and Allocation of Virtual Machines in Cloud Computing Environment.

S. Supreeth, Kirankumari Patil, Shantala Devi Patil, S. Rohith, Y. Vishwanath, K. S. Venkatesh Prasad

J. Electr. Comput. Eng., 2022

VM Scheduling for Efficient Dynamically Migrated Virtual Machines (VMS-EDMVM) in Cloud Computing Environment.

S. Supreeth, Kirankumari Patil

KSII Trans. Internet Inf. Syst., 2022

Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing.

G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

Appl. Comput. Intell. Soft Comput., 2022