Cyril Raj VELLANKANNI

Scopus Publications

Evaluation of Mobile Application Architecture Structure Styles with Fuzzy Analytic Hierarchy Process
Almas Begum, S. Alex David, V. Cyrilraj
Lecture Notes in Networks and Systems, 2026
Evaluating the Performance of Fully Connected, Convolutional, and Recurrent Neural Networks in Diabetes Risk Prediction
Almas Begum, Alex David S, Hemalatha D, Cyrilraj V
2025 International Conference on Biomedical Engineering and Sustainable Healthcare Icbmesh 2025 Proceedings, 2025
Diabetes prediction is a new task in the healthcare system that uses machine learning to find out who is at high risk of getting diabetes. The present study investigates the performance of Fully Connected Neural Networks (FCNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks in recognition predictive modeling for diabetes using the Pima Indians Diabetes dataset. The dataset contains various attributes such as Glucose levels, Blood pressure, BMI, and Age. A normalization methodology was adopted for the data, followed by splitting it into training and validation sets. A fully connected layer with ReLU activation functions consists of the FCNN model. On the other hand, the CNN model combines convolutional and pooling layers with multiple dense layers. The RNN model contains LSTM layers: Long short-term memory (LSTM), which captures the temporal dependencies. The training process for each model employs the binary cross-entropy loss function, optimized using the Adam algorithm. Based on the results of the ROC AUC (Receiver Operating Characteristic Area Under the Curve), the novel model based on gfDF (Global Feature Descriptors Fusion) achieved the highest performance in determining whether a patient has diabetes, with an FCNN (Fully Convolutional Neural Network) score of 0.87903. Sensible performance of CNN and RNN models with ROC AUC scores of 0.87158 and 0.86116, respectively. To evaluate the prediction capability of each model in a global view, precision, recall, and F1-score are adopted as evaluation criteria. Those results demonstrate the predictive power of neural networks, but importantly also illustrate that different network topologies are better suited for specific regions in prediction space.
Improving NB-IoT performance in weak coverage areas with CBSTO polar coding and LMMSE channel estimation
G Bavani, V. Prasanna Srinivasan, K. Balasubadra, Velankanni Cyril Raj
Peer to Peer Networking and Applications, 2024
Hybrid Real-Time Traffic Management System with Time Series Analysis using Deep Learning Methods
Nanotechnology Perceptions, 2024
Real-Time High-Speed High Dimension Data Streaming and Feature Extraction on Edge Computing Devices in Industrial Internet of Things (IIoT)
International Journal of Intelligent Systems and Applications in Engineering, 2023
An efficient approach for detecting malware using API call mining
International Journal of Advanced Science and Technology, 2020
An innovative hybrid mathematical hierarchical regression model for breast cancer diseases analysis
B. Monica Jenefer, V. Cyrilraj
Cluster Computing, 2019
Performance enhancement of cloud computing: Methodology & tool
, Abey Jacob*, Dr. V cyril raj, and
International Journal of Innovative Technology and Exploring Engineering, 2019
This paper describes the testing process employed for testing the in-house developed cloud by using the Google open source tool PerfKit and employing techniques for increasing the performance. Though new tools for testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automatic testing tools for various cloud environments for Infrastructure, Platform and Software services. This paper brings out the techniques best suited to test different features of Cloud computing environment and to figure out the lacuna in performance of cloud services. The authors also try to bring out solutions to improve the performance of cloud (recommend) by using various tools to figure out the debugging and analysis process guidelines to follow while fine tuning the performance of private clouds.
Testing methodologies for cloud performance
, JACOB&, Dr. V CYRIL RAJ, and
International Journal of Innovative Technology and Exploring Engineering, 2019
Cloud environment basically offers Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Here we describe the testing process employed for performance testing. Though new tools for testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automatic testing tools. This paper brings out the techniques best suited to test different features of Cloud computing environment. The authors also try to bring out (recommend) broad guidelines to follow while setting up a cloud environment to reduce the number of bugs in the system.
Performance evaluation of SUMEGHA cloud computing environment: Methodologies & tool
, ABEY JACOB*, Dr. V CYRIL RAJ, and
International Journal of Innovative Technology and Exploring Engineering, 2019
Cloud ecosystem basically offers Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Software as a Service (SaaS). This paper describes the testing process employed for testing the C-DAC cloud SuMegha. Though new tools for the testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automated testing tools. This paper brings out the techniques best suited to test different features of Cloud computing environment. It offers a comparison of several tools which enhance the testing process at each level. The authors also try to bring out (recommend) broad guidelines to follow while setting up a cloud environment to reduce the number of bugs in the system.
Architecture evaluation of mobile application: Whatsapp
and Almas Begum
International Journal of Innovative Technology and Exploring Engineering, 2019
An efficient forgery image detection method using hybrid feature extraction and multiclass SVM
Clara Shanthi, V. Cyril Raj, S Mankar, A, T De Carvalho, et al.
International Journal of Recent Technology and Engineering, 2019
A novel architecture for an integrated enterprise network security system
B. Thanudas, S. Sreelal, V. Cyril Raj, Anugolu Purnesh Sairam, Vinay Gajmoti, Palash Joshi
International Journal of Security and Networks, 2019
Illumination-based texture descriptor and fruitfly support vector neural network for image forgery detection in face images
Rajan Cristin, John Patrick Ananth, Velankanni Cyril Raj
Iet Image Processing, 2018
Architectural analysis for mobile devices with quality attributes using architecture trade-off analysis method
Almas Begum, V. Cyril Raj
Journal of Computational and Theoretical Nanoscience, 2018
A novel approach for efficient forgery image detection using hybrid feature extraction and classification
International Journal of Engineering and Technology Uae, 2018
Location based security architecture evaluated using ATAM
International Journal of Engineering and Technology Uae, 2018
A genetic algorithm based protein signal pathway analysis
S Jeyabalan, V Cyril Raj, S Nallusamy
Indian Journal of Public Health Research and Development, 2018
An adaptive e-learning environment centred on learner's emotional behaviour
A. Kanimozhi, V. Cyril Raj
2017 International Conference on Algorithms Methodology Models and Applications in Emerging Technologies Icammaet 2017, 2017
Consistency features and fuzzy-based segmentation for shadow and reflection detection in digital image forgery
Rajan Cristin, Velankanni Cyril Raj
Science China Information Sciences, 2017
A computational model of cognitive tutor using cognitive architecture-ACT-R for implementing an effective E-learning system
A. Kanimozhi, V. Cyrilraj
Journal of Computational and Theoretical Nanoscience, 2017
A vehicle control system using a time synchronized Hybrid VANET to reduce road accidents caused by human error
Dahlia Sam, Cyrilraj Velanganni, T. Esther Evangelin
Vehicular Communications, 2016
Optimization of digitalized document verification using E-Governance service delivery platform (E-SDP)
International Journal of Applied Engineering Research, 2016
A novel idea to improve pedestrian safety in Black Spots using a hybrid VANET of vehicular and body sensors
Dahlia Sam, Esther Evangelin, V. Cyril Raj
Proceedings 2015 IEEE International Conference on Innovation Information in Computing Technologies Iciict 2015, 2016
Exposing image manipulation with curved surface reflection
R. Cristin, V. Cyril Raj
Indian Journal of Science and Technology, 2016
A novel technique for analysis of protein to protein interaction using efficientminimum spanning tree techniques
S . Jeyabalan, V. Cyril Raj
Indian Journal of Science and Technology, 2016
Performance evaluation of extended EXACT algorithm for analyzing breast cancer using fractal dimension
B. Monica Jenefer, V. Cyrilraj
Lecture Notes in Electrical Engineering, 2016
Design of malicious activity detection & prevention system for enterprise network
International Journal of Control Theory and Applications, 2016
A cognitive e-learning system using arousal valence emotional model
Journal of Theoretical and Applied Information Technology, 2015
Architectural analysis for improving security using LBS with ATAM
International Journal of Applied Engineering Research, 2015
Classification of breast tumor using fractal based fourier transform method
International Journal of Applied Engineering Research, 2015
Accurate and stable feature selection powered by iterative backward selection and cumulative ranking score of features
G. Victo Sudha George, V. Cyril Raj
Indian Journal of Science and Technology, 2015
Multi-class abnormal breast tissue segmentation using texture features and analyzing the growth factor using power law
B Monica Jenefer, V Cyrilraj
Biosciences Biotechnology Research Asia, 2015
An accelerated feature subset selection using discriminative function allied with large margin distribution based ranking
International Journal of Applied Engineering Research, 2015
An enhanced intelligent learning environment for elearner using cognitive architecture - ACT-R
International Journal of Engineering and Technology, 2015
Improving road safety for pedestrians in black spots using a hybrid vanet of vehicular sensors and pedestrian body unit
Arpn Journal of Engineering and Applied Sciences, 2015
Construction by configuration (CbC) in e-Governance service delivery platform (eSDP)
International Journal of Applied Engineering Research, 2015
An efficient image processing methods for mammogram breast cancer detection
Journal of Theoretical and Applied Information Technology, 2014
Robust feature selection from micro array data using linear kernel SVM-RFE allied with bootstrapping
Journal of Theoretical and Applied Information Technology, 2014
Multi-class abnormal breast tissue segmentation using texture features
B. Monica Jenefer, V. Cyrilraj
2014 International Conference on Science Engineering and Management Research Icsemr 2014, 2014
VANETs-A platform for the future intelligent transport system (ITS)
Asian Journal of Information Technology, 2014
Game theoretic analysis of cooperation relay nodes in cognitive radio ad hoc networks
Asian Journal of Information Technology, 2014
A time synchronized hybrid vehicular Ad hoc network of roadside sensors and vehicles for safe driving
Sam
Journal of Computer Science, 2014
Performance analysis of cooperation and non cooperation of relay nodes in cognitive radio Ad hoc networks - A game theoretic approach
Journal of Theoretical and Applied Information Technology, 2014
Secured data storage with merkle hash tree in cloud computing
International Journal of Applied Engineering Research, 2014
Adaptation oriented "resource" modeling for course-based E-learning environment
Kalla Madhu Sudhana, V Cyril Raj, T Ravi
International Journal of Emerging Technologies in Learning, 2014
Clustering in wireless sensor networks: Performance comparison of EAMMH and LEACH protocols using MATLAB
Monica R. Mundada, Nishanth Thimmegowda, T. Bhuvaneswari, V. Cyrilraj
Advanced Materials Research, 2013
An ontology-based framework for context-aware adaptive e-learning system
Kalla. Madhu Sudhana, V. Cyril Raj, R. M. Suresh
2013 International Conference on Computer Communication and Informatics Iccci 2013, 2013
Maximization of throughput in Cognitive Radio Ad Hoc Networks (CRAHNs) using relay nodes-a cross layer way
European Journal of Scientific Research, 2012
Performance issues on AODV and DSDV for mnaets
Journal of Theoretical and Applied Information Technology, 2010
Modeling of capacitance relaxation phenomena in a malignant membrane
T. K. Basak, K. Bhattacharya, S. Halder, S. Murugappan, V. Cyril Raj, T. Ravi, G. Gunasekaran, P. Shaw
Wit Transactions on Biomedicine and Health, 2009
Data mining of capacitance relaxation phenomena in classifying breast cancer cell
Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology Biocomp 2008, 2008
BIOCOMP '08 bioinformatics for leukemia (MDS) associated with bone marrow depression
Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology Biocomp 2008, 2008
pH homeostasis and cell signalling pathway reflected in capacitance relaxation phenomena
T.K. Basak, T. Ramanujam, S. Halder, V. Cyrilraj, T. Ravi, Prachi Mohan Kulshrestha
International Journal of Medical Engineering and Informatics, 2008
Modeling capacitance relaxation phenomena of malignant membrane in tumor angiogenesis due to vascular endothelial growth factor
T.K. Basak, V.C. Raj, T. Ravi, G. Gunasekaran, P.T.K. selvan
Iet Seminar Digest, 2007

Cyril Raj VELLANKANNI

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Scopus Publications