B. Muthu Kumar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Wireless Sensor Networks

Capsule Endoscopy

Supervised Machine Learning

Top Venues

Wirel. Pers. Commun.

Int. J. Pattern Recognit. Artif. Intell.

Ad Hoc Networks

Publications

M. Prabhu, B. Muthu Kumar
Relay Based Resource Allocation in Wireless Sensor Networks Using Orthogonal Frequency Division Multiplexing. Wirel. Pers. Commun. 137 (3) (2024)
Jyoti Srivastava, Ashish Kumar Srivastava, B. Muthu Kumar, S. P. Anandaraj
Text summarization using modified generative adversarial network1. J. Intell. Fuzzy Syst. 46 (3) (2024)
Pendela Kanchanamala, Ramanathan Lakshmanan, B. Muthu Kumar, Balajee Maram
AACO: Aquila Anti-Coronavirus Optimization-Based Deep LSTM Network for Road Accident and Severity Detection. Int. J. Pattern Recognit. Artif. Intell. 37 (5) (2023)
Ramamoorthi S., B. Muthu Kumar, Ahilan Appathurai
Energy aware Clustered blockchain data for IoT: An end-to-end lightweight secure & Enroute filtering approach. Comput. Commun. 202 (2023)
A. Ahilan, M. Anlin Sahaya Tinu, A. Jasmine Gnana Malar, B. Muthu Kumar
Stationary Wavelet-Oriented Luminance Enhancement Approach for Brain Tumor Detection with Multi-modality Images. FICTA (1) (2023)
A. Ahilan, J. Angel Sajani, A. Jasmine Gnana Malar, B. Muthu Kumar
Machine Learning-Based Brain Disease Classification Using EEG and MEG Signals. FICTA (1) (2023)
G. Susan Shiny, B. Muthu Kumar
E2IA-HWSN: Energy Efficient Dual Intelligent Agents based Data Gathering and Emergency Event Delivery in Heterogeneous WSN Enabled IoT. Wirel. Pers. Commun. 122 (1) (2022)
M. Mohamed Sithik, B. Muthu Kumar
Intelligent agent based virtual clustering and multi-context aware routing for congestion mitigation in secure RPL-IoT environment. Ad Hoc Networks 137 (2022)
P. Sivakumar, B. Muthu Kumar
A novel method to detect bleeding frame and region in wireless capsule endoscopy video. Clust. Comput. 22 (5) (2019)
K. Ashok Kumar, B. Muthu Kumar, VeeraMuthu A., V. S. Mynavathi
Unsupervised Machine Learning for Clustering the Infected Leaves Based on the Leaf-Colors. WIR (2018)