Journal ArticleDOI
A bio-inspired swarm intelligence technique for social aware cognitive radio handovers
H. Anandakumar,K. Umamaheswari +1 more
TLDR
Experimental results show that the proposed SCH-SpecPSO outperforms 75% more than state of art mobile social networks by optimizing various handover issues.About:
This article is published in Computers & Electrical Engineering.The article was published on 2017-09-28. It has received 308 citations till now. The article focuses on the topics: Cognitive network & Cognitive radio.read more
Citations
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Journal ArticleDOI
Modified Alexnet architecture for classification of diabetic retinopathy images
T. Shanthi,R. S. Sabeenian +1 more
TL;DR: This paper focuses on the classification of DR fundus images according to the severity of the disease using convolutional neural network with the application of suitable Pooling, Softmax and Rectified Linear Activation Unit (ReLU) layers to obtain a high level of accuracy.
Journal ArticleDOI
Security and channel noise management in cognitive radio networks
TL;DR: The PKC-based McEliece secondary key provides an error correction capacity, which can remove the noise during secondary user allocation and enhance the effectiveness of the spectrum management, which collaborate effectively over the noise channel management.
Proceedings ArticleDOI
AODV Route Discovery and Route Maintenance in MANETs
Deepak S,Anandakumar H +1 more
TL;DR: This paper discusses the functioning of AODV and how the process of route discovery and route maintenance takes place and there are three types of messages that will govern the working process.
Book ChapterDOI
An Intelligent-Based Wavelet Classifier for Accurate Prediction of Breast Cancer
TL;DR: The authors build up a framework for analysis, visualization, and prediction of cancer in breast tissue by utilizing Intelligent based wavelet classifier, a new approach constructed using texture value and wavelet neural network.
Journal ArticleDOI
Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis
Laith Abualigah,Amir H. Gandomi,Mohamed Abd Elaziz,Abdelazim G. Hussien,Ahmad M. Khasawneh,Mohammad Alshinwan,Essam H. Houssein +6 more
TL;DR: A comprehensive review is presented to show the most related nature-inspired algorithms that have been used in solving the text clustering problem and showed that the performance of the well-known nurture-inspired optimization algorithms almost the same with slight differences.
References
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Journal ArticleDOI
Social Computing: From Social Informatics to Social Intelligence
TL;DR: The move from social informatics to social intelligence is achieved by modeling and analyzing social behavior, by capturing human social dynamics, and by creating artificial social agents and generating and managing actionable social knowledge.
Journal ArticleDOI
Cognitive Internet of Things: A New Paradigm Beyond Connection
TL;DR: In this paper, a cognitive Internet of Things (CIoT) paradigm is proposed to enable general objects to learn, think, and understand both physical and social worlds by themselves.
Posted Content
Cognitive Internet of Things: A New Paradigm beyond Connection
TL;DR: This paper proposes an operational framework of CIoT, which mainly characterizes the interactions among five fundamental cognitive tasks: perception-action cycle, massive data analytics, semantic derivation and knowledge discovery, intelligent decision-making, and on-demand service provisioning, and provides a systematic tutorial on key enabling techniques involved in the cognitive tasks.
Journal ArticleDOI
Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers
H. Anandakumar,K. Umamaheswari +1 more
TL;DR: The SpecPSO is proposed for optimizing handovers using supervised machine learning technique for performing dynamic handover by adapting to the environment and make smart decisions compared to the traditional cooperative spectrum sensing (CSS) techniques.
Journal ArticleDOI
Applications, Architectures, and Protocol Design Issues for Mobile Social Networks: A Survey
TL;DR: A comprehensive survey on the MSN specifically from the perspectives of applications, network architectures, and protocol design issues is presented.
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Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers
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