E. Grace Mary Kanaga

Orcid: 0000-0002-9896-6609

According to our database1, E. Grace Mary Kanaga authored at least 14 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Enhanced D-CNN architecture and centroid-based algorithm for real-time vehicle tracking and accident detection from surveillance videos.
J. Intell. Fuzzy Syst., February, 2024

An Enhanced Approximation Algorithm Using Red Black Tree and HashMap for Virtual Machine Placement Problem.
SN Comput. Sci., January, 2024

2023
Bio-inspired Red Fox-Sine cosine optimization for the feature selection of SSVEP-based EEG signals for BCI applications.
Biomed. Signal Process. Control., 2023

2022
Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review.
SN Comput. Sci., 2022

2020
Scheduling and adaptive listening approaches in MAC for WSN applications: A survey.
J. High Speed Networks, 2020

An Osmosis-Based Intelligent Agent Scheduling Framework for Cloud Bursting in a Hybrid Cloud.
Int. J. Distributed Syst. Technol., 2020

ESAM - Energy Saving Slot Allocation Based Multicast Routing in Wireless Mesh Network.
EAI Endorsed Trans. Energy Web, 2020

2019
RFSMPF: Rank based forwarder selection in MCAST with fuzzy optimized path formation in wireless mesh network.
Wirel. Networks, 2019

Optimal multi-controller placement strategy in SD-WAN using modified density peak clustering.
IET Commun., 2019

2018
Parallel seed selection method for overlapping community detection in social network.
Scalable Comput. Pract. Exp., 2018

A Proactive Flow Admission and Re-Routing Scheme for Load Balancing and Mitigation of Congestion Propagation in SDN Data Plane.
CoRR, 2018

Overlapping community detection using superior seed set selection in social networks.
Comput. Electr. Eng., 2018

2012
A Distributed Optimized Patient Scheduling using Partial Information
CoRR, 2012

2010
An Agent Based Approach to Patient Scheduling Using Experience Based Learning.
Int. J. Agent Technol. Syst., 2010


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