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P. Anandhakumar
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2020 – today
- 2024
- [j13]Preetha Evangeline David, P. Anandhakumar:
Chapter One - Why is implementing computational intelligence for social good so challenging? Principles and its application. Adv. Comput. 132: 1-17 (2024) - [j12]Preetha Evangeline David, P. Anandhakumar:
Chapter Five - Articulating the power of reasoning and gathering data for information security and justice. Adv. Comput. 132: 67-83 (2024) - [j11]K. A. Alex Luke, Preetha Evangeline David, P. Anandhakumar:
Chapter Seven - Short-term wind power prediction using deep learning approaches. Adv. Comput. 132: 111-139 (2024) - [j10]Preetha Evangeline David, Pethuru Raj Chelliah, P. Anandhakumar:
Chapter Nine - Reshaping agriculture using intelligent edge computing. Adv. Comput. 132: 167-204 (2024) - [j9]Preetha Evangeline David, V. Vivek, P. Anandhakumar:
Chapter Eleven - Delineating computational intelligence during epidemic emergencies and outbreaks. Adv. Comput. 132: 219-234 (2024) - [j8]Preetha Evangeline David, P. Anandhakumar:
Chapter Twelve - ClubNet: Deep learning model for computation, calibration and estimation of biotic stress in crops. Adv. Comput. 132: 235-250 (2024) - [j7]Preetha Evangeline David, S. Malathi, P. Anandhakumar:
Chapter Thirteen - Automatic programming (source code generator) based on an ontological model. Adv. Comput. 132: 251-272 (2024) - [j6]K. Kalai Arasan, P. Anandhakumar:
Hybrid COOT-Reverse Cognitive Fruit Fly Optimization-Based Big Data Services and Virtual Machine Allocation for Cloud Storage System. J. Circuits Syst. Comput. 33(1) (2024) - 2023
- [j5]K. Kalai Arasan, P. Anandhakumar:
Energy-efficient task scheduling and resource management in a cloud environment using optimized hybrid technology. Softw. Pract. Exp. 53(7): 1572-1593 (2023) - 2020
- [j4]Preetha Evangeline, P. Anandhakumar:
Chapter Two - Digital twin technology for "smart manufacturing". Adv. Comput. 117: 35-49 (2020)
2010 – 2019
- 2019
- [j3]P. Sathiya, P. Anandhakumar:
Probabilistic collision estimation for tracked vehicles based on corner point self-activation approach. Comput. Electr. Eng. 74: 557-568 (2019) - [j2]K. Kalai Arasan, P. Anandhakumar:
A new GLoSM embedded virtual machine model for big data services in cloud storage systems. Clust. Comput. 22(Suppl 1): 399-405 (2019) - 2017
- [c4]V. S. Harikrishnan, D. Sowmiya, P. Anandhakumar:
AB Divergence for Fine Tuning Subject Wise Person Re-Identification Performance. CVIP (2) 2017: 141-155 - 2012
- [c3]B. Meenakshi, P. Anandhakumar:
Lifetime extension of wireless sensor network by selecting two cluster heads and hierarchical routing. ICACCI 2012: 1254-1260 - [c2]G. NaliniPriya, Arputharaj Kannan, P. Anandhakumar:
A Knowledgeable Decision Tree Classification Model for Multivariate Heart Disease Data-A Boon to Healthcare. ISICA 2012: 459-467 - 2010
- [j1]A. Suphalakshmi, S. Narendran, P. Anandhakumar:
An improved fast watershed algorithm for image segmentation. Int. J. Comput. Vis. Robotics 1(3): 251-260 (2010) - [i1]P. Anandhakumar, V. Balamurugan:
Feature-Based Adaptive Tolerance Tree (FATT): An Efficient Indexing Technique for Content-Based Image Retrieval Using Wavelet Transform. CoRR abs/1004.1229 (2010)
2000 – 2009
- 2009
- [c1]Priyadarshini Jayaraju, A. Elaya Perumal, P. Anandhakumar, S. Venugopal:
Dynamic Leadership Algorithm for Hierarchical Multi-Smart Robot Coordination in Atomic Power plants. ARTCom 2009: 63-67
Coauthor Index
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