Dr.S.Kanaga Suba Raja

Scopus Publications

Region vision transformer-based dilated densenet for AD classification with the aid of heuristic algorithm
K. Amsavalli, S. Kanaga Suba Raja, Usha Kiruthika
European Physical Journal Plus, 2026
Optimizing Firewall Efficiency: A Deep Learning-Driven Approach to Advanced Threat Mitigation
V. Asha, S. Kanaga Suba Raja
Lecture Notes in Networks and Systems, 2026
DRCNN-Lesion Proxy: a hybrid CNN with lesion-inspired feature simulation for diabetic retinopathy severity classification
Priyadharshini Sekar, Kanaga S. Suba Raja, Ramaswamy Krishnaraj
Scientific Reports, 2025
Diabetic Retinopathy (DR) remains a leading cause of vision loss globally, necessitating accurate and scalable diagnostic solutions. Existing Deep Learning (DL) models often underutilize lesion-specific cues that are critical for early DR grading, while detection based models require costly lesion annotations. To address these limitations, we propose DRCNN-Lesion Proxy, a hybrid architecture that integrates a ResNet34 based CNN backbone for extracting global image level features with a Lesion Proxy Module, which simulates lesion-inspired cues without explicit lesion bounding box annotations. These heterogeneous features are fused through a late fusion classification head to enable robust multiclass DR severity prediction. The model was trained on a composite dataset and rigorously evaluated across six publicly available benchmarks namely EyePACS, Messidor-2, APTOS 2019, DDR, DIARETDB1, and IDRiD. Experimental findings show that the proposed framework consistently outperforms baseline CNNs and recent hybrid methods, achieving up to 98.37% accuracy, 97.28% F1-score, and 98.14% AUC. Statistical significance testing confirmed that these improvements were not due to chance. Furthermore, Grad-CAM visualizations highlighted clinically relevant retinal regions, and a pilot validation with three ophthalmologists on 20 cases reported mean scores above 3.5 out of 5, confirming that the explanations were perceived as clinically meaningful and useful for grading. The proposed framework provides an annotation light solution with strong generalizability, diagnostic precision, and clinically validated interpretability, advancing the state of the art in automated DR screening and offering a practical pathway for real world deployment.
An Efficient and Secure WBAN Based on Optimal Privacy Preservation Scheme With Deep Learning and Blockchain Technology
Balasubramanian Chandra, Subramanian Kanaga Suba Raja, Suresh Sudha
Transactions on Emerging Telecommunications Technologies, 2025
Securing the trustworthiness, privacy, and legitimacy of shared medical data in Wireless Body Area Network (WBAN) is a primary concern. Hence, a blockchain technology‐based secure medical data storage scheme is developed in this paper. This developed model includes four primary phases. Before initializing, the WBAN data are collected. In the first phase, the user authentication is verified. For this purpose, the user's iris images are aggregated. These iris images are subjected to the Residual Attention Network (RAN). From the RAN, the user is authorized, and then security keys are given to the authorized user. Only after verifying the authentication of the user, the healthcare data is allowed to be stored in the blockchain. In the second phase, data sanitization takes place. The obtained WBAN medical data are sanitized using a data sanitization process with the optimal keys obtained from the Fusion of Golden Eagle and Eurasian Oystercatcher Optimization Algorithm (FGE‐EOOA). Here, the data are encrypted by employing the Rivest‐Shamir‐Adleman (RSA) approach, and then encrypted medical data are stored in the blockchain. This ensures multi‐step data security, which allows secure storage of WBAN healthcare data in the blockchain. While retrieving the stored data, the user authentication is verified on the user side, as well as in the same RAN model. This is the third phase of the developed model. When the user is proven to be an authorized one, the stored data in the blockchain corresponding to that particular user is retrieved. Using the data restoration process, which is the fourth phase of the developed model, the actual medical data is retrieved. If the user is unauthorized, then no access is provided to them. This ensures a multi‐level of security for storing and retrieving data from the blockchain. The security offered by this model is evaluated and validated by contrasting and comparing it with other conventional data transfer methods.
An optimized deep learning approach for detection and classification of player actions in football game
K. Kausalya, Kanaga Suba Raja S, S. Sudha
Entertainment Computing, 2025
Caries-segnet: Multi-scale cascaded hybrid spatial channel attention encoder-decoder for semantic segmentation of dental caries
Jayaraman Priya, Subramanian Kanaga Suba Raja
Biomedizinische Technik, 2025
Objectives Dental caries is a prevalent oral health issue around the world that leads to tooth aches, root canal infections, and even tooth extractions. Existing dental caries diagnosis models may misdiagnose the disorder and take more time to segment the caries. This research work aims to provide an in-depth analysis of spatial and channel attention mechanism techniques used for semantic segmentation in an encoder-decoder network. For effective performance, the research implements novel techniques to segment the dental caries accurately. Methods Deep Fully Connected Residual Block (DFCR) is designed to provide relevant features without the loss of significant information. A novel Hybrid Spatial Channel Attention (HSCA) module is developed for combining significant features with the help of multi-scale spatial features and cross-dimensional channel features. Results The proposed methodology performs better than other cutting-edge algorithms by achieving 96.63 % accuracy, 95.77 % dice score, 96.28 % Intersection over Union (IOU) score for the caries dataset, and 96.93 % accuracy, 95.21 % dice value, and 96.1 % IOU for the Tufts dental dataset. Conclusions The developed model facilitates in detection of cavities precisely at an earlier stage with the help of dental images. The semantic segmentation of dental caries provides accurate diagnosis by assisting medical professionals.
A comprehensive approach enhancing home automation security with artificial intelligence firewalls: Design and evaluation
V. Asha, Kanaga Suba Raja S.
Navigating Computing Challenges for A Sustainable World, 2025
This study introduced an innovative AI-driven solution to enhance the security of home automation systems, addressing the growing vulnerabilities associated with IoT devices. The proposed system combines sophisticated machine-learning techniques with a blockchain-based data-management platform to analyze network-traffic patterns and device behaviors, ensuring data integrity while proactively identifying and combating various cyber threats. Experimental findings demonstrate the system's ability to recognize and mitigate attacks such as denial-of-service and unauthorized access attempts. During a 24-hour evaluation, the AI-powered firewall processed 10,000 requests, successfully blocking 8% of the malicious traffic and identifying suspicious activities for further examination. Notably, it outperformed traditional systems that lacked anomaly-based algorithms by effectively detecting a wide range of significant threats. Future research will focus on enhancing anomaly detection algorithms through user feedback, highlighting the potential of AI-enhanced firewalls to provide robust protection against cyber threats while preserving data confidentiality in emerging 6G networks and smart home ecosystems.
Advanced potato leaf disease classification using YOLOv9: A deep learning approach
S. Kanaga Suba Raja, S. Dharun Kumar, R. Sakthisri
Navigating Computing Challenges for A Sustainable World, 2025
Although potato is an important global crop, it suffers from a range of diseases that can cause substantial yield losses. Despite being a significant crop worldwide, potatoes are vulnerable to various diseases that can lead to significant decreases in production. The timely and accurate detection of diseases is crucial for managing crops effectively. This paper outlines a fresh approach for real-time potato disease classification using the YOLOv9 deep learning model. The dataset used to train the model contained both healthy and diseased potato plants, enabling it to identify the main diseases found in potato plants: late blight, early blight, and black leg. The process involved data preprocessing, model training, and evaluation to enhance the model's performance. The findings demonstrate that the YOLOv9 model attains high accuracy and quick inference time, making it suitable for agricultural applications. By utilizing advanced deep learning and substantial computational resources, this study offers a valuable tool to assist farmers and professionals.
Enhancing VPN security: A comparative study of LSTM and GRU models
V. Jeyajeev, S. Kanaga Suba Raja, S. P. Thirumukhil
Navigating Computing Challenges for A Sustainable World, 2025
This chapter presents a comprehensive assessment of VPN (Virtual Private Network) security using different deep learning algorithms. The purpose of the study is to predict whether a given VPN IP address is safe to use by detecting IP address leaks, DNS leaks, encryption strength, and anomalies in VPN behavior. We use machine deep learning algorithms like Long Short Memory (LSTM), Gated Recurrent Units (GRU), to address these critical aspects. The performance of these algorithms is comprehensively compared using evaluation metrics such as Accuracy percentage, Mean Squared Error (MSE), R-Squared(R^2) etc. The results provide valuable information for choosing the most effective technology to ensure the security and privacy of VPN connections.
Smart Cities Secured: Utilizing AI Firewalls for Sustainable Urban Environments
V Asha, S Kanaga Suba Raja
International Journal on Smart Sensing and Intelligent Systems, 2025
The rapid transformation of urban landscapes into intelligent cities, propelled by the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), presents substantial opportunities for enhancing urban sustainability, efficiency, and quality of life. However, the interconnected nature of smart urban infrastructures renders them susceptible to significant cybersecurity risks, potentially jeopardizing essential services, and citizen privacy. This study examines the implementation of AI firewalls as a robust solution to strengthen the cybersecurity capabilities of smart cities. Utilizing advanced ML techniques for threat detection, anomaly analysis, and automated responses, AI firewalls can safeguard critical urban infrastructure. A comprehensive review of current literature and emerging AI technologies demonstrates that AI firewalls effectively mitigate cyber threats, protect sensitive data, and ensure the continuity of vital services, thereby fostering public trust and promoting sustainability. The proposed methodology outlines a systematic approach for designing, developing, and implementing AI firewalls, emphasizing scalability, adaptability, and energy efficiency in smart city environments. It also addresses challenges such as cost, privacy concerns, and interoperability through solutions including federated learning, edge computing, and explainable AI (XAI). This research highlights the crucial role of AI firewalls in creating secure, resilient, and sustainable smart cities, facilitating proactive urban governance. Future investigations will focus on enhancing real-time threat response, improving cross-platform integration, and refining privacy-preserving techniques, ensuring AI firewalls remain integral to the evolving landscape of secure urban systems. This study underscores the importance of AI firewalls as a key component of smart city cybersecurity, aligning technological advancements with urban resilience and sustainability objectives.
A Multi-Scale Attention-Driven Deep Learning Model for Accurate and Interpretable Diabetic Retinopathy Severity Classification
Priyadharshini Sekar, Kanaga Suba Raja. S
9th International Artificial Intelligence and Data Processing Symposium Idap 2025, 2025
Improving Predictive Analysis Through Integrated Transfer Learning: Leveraging Fine-Tuning and Model Stacking Techniques
M. Abishegan, S. Kanaga Suba Raja
Lecture Notes in Networks and Systems, 2025
RESIGN: Alzheimer's Disease Detection Using Hybrid Deep Learning based Res-Inception Seg Network
Amsavalli Kannan, Kanaga Suba Raja Subramanian, Sudha Suresh
Current Alzheimer Research, 2025
Power Loss Minimization in Smart Grids Using African Vultures Optimization Algorithm (AVOA): A Bio-inspired Approach
Chandrakala D, Kanaga Suba Raja S, T. M. Desshika
International Conference on Electrical Energy Systems Icees, 2025
Urban Living through AIoT Integration in Smart Cities
Aiot Artificial Intelligence of Things, 2025
Enhancing Multimodal Transportation through AIoT Integration Challenges and Opportunities
Aiot Artificial Intelligence of Things, 2025
Enhancing Product Interaction Ratings Through Emotion Detection Techniques
R. Jagadeesh Kannan, S. Kanaga Suba Raja, K. Kamalaadhithyan, R. R. Dharun Raagav
Lecture Notes in Networks and Systems, 2025
Modern Neuro-Fuzzy Soft Computing Models for Pile Foundation Bearing Capacity: A Comparison of ANFIS and PSO-ANFIS
Akash Sankar Chowdhury, S. Kanaga Suba Raja, Shreya Mazumder, Kamal Nayan Kumar
Lecture Notes in Networks and Systems, 2025
Sono Sync: Intelligent Traffic Optimization System for Hairpin Bends
R. Jagadeesh Kannan, S. Kanaga Suba Raja, S. Jayanth, S. Amrish
Lecture Notes in Networks and Systems, 2025
Smart Computing for Communication: Real-Time Sign Language Translation for Educational Accessibility of Hard-of-Hearing Individuals
Kanaga Suba Raja, S. Shanmugapriya, Thanisha K U, Siddharth B R
2025 4th Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5 0 Otcon 2025, 2025
Artificial Intelligence Enhanced Virtual Reality Therapy: A Personalized Approach to Post-traumatic Stress Disorder
R. Jagadeesh Kannan, Kanaga Suba Raja, S. Guhanand, P. Aadhithya
Lecture Notes in Networks and Systems, 2025
State-of-art technologies, challenges, and emerging trends of computer vision in dental images
J. Priya, S. Kanaga Suba Raja, S. Usha Kiruthika
Computers in Biology and Medicine, 2024
An intellectual caries segmentation and classification using modified optimization-assisted transformer denseUnet++ and ViT-based multiscale residual denseNet with GRU
J. Priya, S. Kanaga Suba Raja, S. Sudha
Signal Image and Video Processing, 2024
Brain tumour segmentation and classification with reconstructed MRI using DCGAN
B. Sandhiya, S. Kanaga Suba Raja, K. Shruthi, S. Praveena Rachel Kamala
Biomedical Signal Processing and Control, 2024
Deep Learning and Optimized Learning Machine for Brain Tumor Classification
B. Sandhiya, S. Kanaga Suba Raja
Biomedical Signal Processing and Control, 2024
Data hiding using optimal base algorithm for high dynamic range images with aggressive bit encoding and decomposition (abed) scheme
K. P. Revathi, J. Vijayaraj, S. Kanaga Suba Raja
Aip Conference Proceedings, 2024
A detailed survey on various segmentation techniques for abnormal lungs cancer using CT images
J. Vijayaraj, K. P. Revathi, S. Kanaga Suba Raja
Aip Conference Proceedings, 2024
Improving liveness recognition techniques in iris codes for iris recognition
S. Usha Kiruthika, R. S. Kumar, S. Kanaga Suba Raja, T. Kalaiselvi
Aip Conference Proceedings, 2024
Pothole detection and compliant notification
S. Kanaga Suba Raja, B. Chandra, Sharon Hajhan, Prasshanth, Tamilvanan
Aip Conference Proceedings, 2024
Flood prediction using AI model
S. Kanaga Suba Raja, B. Chandra, S. Lokeshwaran, R. Aravind, R. Guruprasath
Aip Conference Proceedings, 2024
Internet of things based dual axis solar tracking system
B. Sandhiya, S. Kanaga Suba Raja, R. Anandha Abishek Raja, M. Ethiraj, M. Ijas Rasool
Aip Conference Proceedings, 2024
Tracking of multi athlete and action recognition in soccer sports video using deep learning techniques
S. Kanaga Suba Raja, K. Kausalya, B. Sandhiya, K. Abdul Waseem Nihaal W., A. Abiya Feba Mary, J. Afra Thahseen
Aip Conference Proceedings, 2024
Security In Wireless Body Area Network (WBAN) Using Blockchain
Chandra B, Kanaga Suba Raja S
IETE Journal of Research, 2024
OTRN-DCN: An optimized transformer-based residual network with deep convolutional network for action recognition and multi-object tracking of adaptive segmentation using soccer sports video
K. Kausalya, S. Kanaga Suba Raja
International Journal of Wavelets Multiresolution and Information Processing, 2024
HHECC-AES: A Novel Hybrid Cryptography Scheme for Developing the Secured Wireless Body Area Network Using Heuristic-aided Blockchain Model
Ad Hoc and Sensor Wireless Networks, 2024
A Novel Water Distribution and Performance Monitoring System using AI
S Kanaga Suba Raja, S Usha Kiruthika, C J Raman
8th International Artificial Intelligence and Data Processing Symposium Idap 2024, 2024
Deep Fusion Model for Dental Caries Classification from X-Ray Images
Priya J, Usha Kiruthika S, Kanaga Suba Raja S
10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
Enhancing DNS and IoT Firewall Rule-Based Algorithms and Techniques
P. Senthilkumar, V. Asha, S. Kanaga Suba Raja, I. Samuel Peter James
Lecture Notes in Electrical Engineering, 2024
WEARABLE SENSOR-BASED MONITORING AND CLASSIFICATION USING DEEP LEARNING FOR PERSONALIZED HEALTHCARE
Murugan Subramanian, S. Kanaga Suba Raja, A. Sampath Kumar, Manikandan Ramachandran, Ambeshwar Kumar
Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services, 2024
Energy Measurement by Smart Metering using Blockchain Technology
Aishwarya R, Chandrakala D, Jeyanthi Yegammai S, Varrshini V, Kanaga Suba Raja S, Vishnu Prasad V
10th International Conference on Electrical Energy Systems Icees 2024, 2024
A Novel Token-Based Authentication Algorithm for DoS Attacks in Wireless Sensor Network
S. Kanaga Suba Raja, Sobini X. Pushpa, J. Savija, A. Benham
Aip Conference Proceedings, 2023
An Intelligent Crop Recommendation System using Deep Learning
International Journal of Intelligent Systems and Applications in Engineering, 2023
Cloud assisted data storage in e-healthcare system
A. Sathya, S. Kanaga Suba Raja
Resource Management in Advanced Wireless Mobile Networks, 2023
A Quantitative Approach to Minimize Energy Consumption in Cloud Data Centres using VM Consolidation Algorithm
M. Hema, Dr. S. Kanaga Suba Raja
Ksii Transactions on Internet and Information Systems, 2023
Artificial intelligence in constructing personalized and accurate feedback systems for students
Wenzhong Xu, Jun Meng, S. Kanaga Suba Raja, M. Padma Priya, M. Kiruthiga Devi
International Journal of Modeling Simulation and Scientific Computing, 2023
Multi-classification of Brain Tumor MRI Images Using Deep CNN Features and ML Classifiers
B. Sandhiya, S. Kanaga Suba Raja
Lecture Notes in Electrical Engineering, 2023
Athlete Action Recognition in Sports Video: A Survey
K. Kausalya, S. Kanaga Suba Raja
Lecture Notes in Electrical Engineering, 2023
Systematic Review of Deep Learning Models for Dental Images
Usha Kiruthika S, Priya J, Kanaga Suba Raja S
Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
Recognition of Facial Stress System using Machine Learning with an Intelligent Alert System
S. Kanaga Suba Raja, Durai Arumugam S S L, R. Praveen Kumar, J. Selvakumar
Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
Prognosis of Stroke using Machine Learning Algorithms
Kanaga Suba Raja. S, B. Chandra, K. Kausalya, Ciddarth RM, Gokul Ranjith V
Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
Deep Key Generation: End to End Encryption for Generic Communication
Kanaga Suba Raja S, K. Kausalya, B. Chandra, Manoj V, Mahesh Saravanan G, Harish. A
Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, 2023
Life Saving Express-Discovery the Shortest Distance in Vehicle Routing
M Hema, Kanaga Suba Raja, K Valarmathi, D Hema Ruba, Sv Abishyna, Kiruthiga Manivel
Proceedings of the 1st IEEE International Conference on Networking and Communications 2023 Icnwc 2023, 2023
IoT based Smart Door System for Monitoring Human Body Temperature and Face Mask Detection
S Kanaga Suba Raja, B Sandhiya, K Kausalya, B Ramya, S Monish, R Sai Raja Gopal
Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, 2023
Virtex-II Pro FPGA Based Smart Agricultural System
M. Vivekanandan, S. Kanaga Suba Raja
Wireless Personal Communications, 2022
Elliptic Curve Cryptography Based Authentication Protocol Enabled with Optimized Neural Network Based DoS Mitigation
Sobini X. Pushpa, S. Kanaga Suba Raja
Wireless Personal Communications, 2022
Correction to: Elliptic Curve Cryptography Based Authentication Protocol Enabled with Optimized Neural Network Based DoS Mitigation (Wireless Personal Communications, (2022), 124, 1, (1-25), 10.1007/s11277-021-08902-5)
Sobini X. Pushpa, S. Kanaga Suba Raja
Wireless Personal Communications, 2022
Resource allocation in cloud data center using dynamic resource assignment frame work
S. Kanaga Suba Raja, M. Hema, M. Pragya, A. Poomeni, N. Vidhyalakshmi
Aip Conference Proceedings, 2022
Sepsis prediction using ensemble random forest
S. Kanaga Suba Raja, K. Valarmathi, S. Deepthi Sri, S. Harishita, V. Keerthanna
Aip Conference Proceedings, 2022
Recommendation learning system model for children with autism
V. Balaji, S. Kanaga Suba Raja
Intelligent Automation and Soft Computing, 2022
Enhanced ECC Based Authentication Protocol in Wireless Sensor Network with DoS Mitigation
Sobini X. Pushpa, S. Kanaga Suba Raja
Cybernetics and Systems, 2022
An Efficient Framework for Utilizing Underloaded Servers in Compute Cloud
M. Hema, S. Kanaga Suba Raja
Computer Systems Science and Engineering, 2022
Deep Learning Framework for Brain Tumor Classification through Histopathological Image
Sandhiya B, UshaKiruthika S, Kanaga Suba Raja S
Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022
Object Recognition in Soccer Sports Videos
Usha Kiruthika S, K. Kausalya, Kanaga Suba Raja S
Proceedings 2nd International Conference on Smart Technologies Communication and Robotics 2022 Stcr 2022, 2022
Satellite Image Processing for Water Detection
Kanaga Suba Raja S, Kumar R S, Balaji V, Usha Kiruthika S
Ecs Transactions, 2022
Eyeball Movement Cursor Control Using OpenCV
Chandra B, Kanaga Suba Raja S, Rohit M, R Sriram Vignesh
Ecs Transactions, 2022
Energy Optimization Algorithm to Reduce Power Consumption in Cloud Data Center
S. Kanagasubaraja, M. Hema, K. Valarmathi, Naveen Kumar, Bala Pradeep M Kumar, N Balaji
Proceedings IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2022, 2022
Autonomous Vehicle Assisted by Heads up Display (HUD) with Augmented Reality Based on Machine Learning Techniques
S. Murugan, A. Sampathkumar, S. Kanaga Suba Raja, S. Ramesh, R. Manikandan, Deepak Gupta
Studies in Systems Decision and Control, 2022
Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM model
K Valarmathi, S Kanaga Suba Raja
Concurrent Engineering Research and Applications, 2021
A Review of Call Admission Control Schemes in Wireless Cellular Networks
S. Kanaga Suba Raja, A. Bamila Virgin Louis
Wireless Personal Communications, 2021
Privacy Preservation-Based Access Control Intelligence for Cloud Data Storage in Smart Healthcare Infrastructure
A. Sathya, S. Kanaga Suba Raja
Wireless Personal Communications, 2021
Resource allocation in device to device communication using dynamic programming
S Kanaga Suba Raja, A Bamila Virgin Louis, G Arul Dalton
2021 International Conference on Emerging Smart Computing and Informatics Esci 2021, 2021
Sensor based learning device for children with autism
S. Kanaga Suba Raja, V. Balaji
Materials Today Proceedings, 2021
Optimal resource allocation in 5G system using modified lion algorithm
Subramanian Kanaga Suba Raja, Augusteen Bamila Virgin Louis
Iet Communications, 2021
A novel fraud detection scheme for credit card usage employing random forest algorithm combined with feedback mechanism
S. KanagaSuba Raja
Journal of Information Technology Management, 2021
An IoT-Based System for Supporting Children with Autism Spectrum Disorder
Kanaga Suba Raja. S, Balaji. V, Usha Kiruthika. S, C.J. Raman
3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies I Pact 2021, 2021
Multi cloud-based secure privacy preservation of hospital data in cloud computing
S. Kanaga Suba Raja, A. Sathya, S. Karthikeyan, T. Janane
International Journal of Cloud Computing, 2021
A Hybrid Data Access Control Using AES and RSA for Ensuring Privacy in Electronic Healthcare Records
S. Kanaga Suba Raja, A. Sathya, L. Priya
Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
Indian and English Language to Sign Language Translator-an Automated Portable Two Way Communicator for Bridging Normal and Deprived Ones
L. Priya, A. Sathya, S. Kanaga Suba Raja
Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
A Novel Fraud Detection Scheme for Credit Card Usage Employing Random Forest Algorithm Combined with Feedback Mechanism
Usha Kiruthika, S. Kanaga Suba Raja, C.J. Raman, V. Balaji
Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
E-Agriculture for Direct Marketing of Food Crops Using Chatbots
Usha Kiruthika, S. Kanaga Suba Raja, V. Balaji, C.J. Raman
Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
Lifecycle Model of a Negotiation Agent: A Survey of Automated Negotiation Techniques
Usha Kiruthika, Thamarai Selvi Somasundaram, S. Kanaga Suba Raja
Group Decision and Negotiation, 2020
Taylor-AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
T. Rajesh Kumar, G. R Suresh, S. Kanaga Subaraja, C. Karthikeyan
Computational Intelligence, 2020
Smart assistance for asperger syndrome using raspberry pi
, Dr. S.Kanaga Suba Raja*, Mr.V. Balaji*, , S. Aparna, and
International Journal of Innovative Technology and Exploring Engineering, 2019
Detection of tuberculosis in chest X-rays using U-net architecture
, S. Usha Kiruthika*, Dr. S.Kanaga Suba Raja, , Mr.V. Balaji, , Mr. S. S. L. Durai Arumugam, , Dr. C.J. Raman, and
International Journal of Innovative Technology and Exploring Engineering, 2019
An optimal algorithm to improve resource utilization in cloud data centre
Elakkya Manoharan, Deepika.U, Arunkumar.KEaswari Engineering College, RamapuramRamapuram Chennai, India, S.Kanaga suba Raja, Mrs.M. Hema, Easwari Engineering College , Chennai, India
International Journal of Engineering and Advanced Technology, 2019
Detection and classification of paddy crop disease using deep learning techniques
SRM Institute of Science, Technology, Kattankulathur Campus, Chennai. Tamil Nadu, India, Usha Kiruthika*, Kanagasuba Raja S, Department of IT, SRM Eswari Engineering College, Chenaai, Tamil Nadu, India., Jaichandran R*, Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India, Priyadharshini C, Department of Information Technology, Easwari Engineering College, Ramapuram Campus, Chennai.
International Journal of Recent Technology and Engineering, 2019
Sentiment analysis of movies on social media using R studio
Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu,, Jaichandran R*, C. Bagath Basha, Department of Computer Science, Engineering, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India., Shunmuganathan K.L, principal, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India,, Rajaprakash, Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Rajiv Gandhi Salai, Old Mamallapuram Road, Paiyanoor 603104, Kanchipuram (DT), Tamil Nadu, India,, Kanagasuba Raja S, Department of IT, SRM Eswari Engineering College, Chenaai, Tamil Nadu, India.
International Journal of Engineering and Advanced Technology, 2019
Face recognition using Haar - Cascade classifier for criminal identification
International Journal of Recent Technology and Engineering, 2019
Conversion of non-audible murmur to normal speech based on FR-GMM using non-parallel training adaptation method
T. Rajesh Kumar, G.R Sursh, S. Kanaga Subaraja
Proceedings of the International Conference on Intelligent Sustainable Systems Iciss 2019, 2019
Conversion of non-audible murmur to normal speech based on full-rank Gaussian mixture model
T. Rajesh Kumar, G. R. Suresh, S. Kanaga Suba Raja
Journal of Computational and Theoretical Nanoscience, 2018
A new hybridized speech enhancement technique for stationary and non-stationary noisy environments
R. Senthamizh Selvi, G. R Suresh, S. Kanaga Suba Raja
Journal of Computational and Theoretical Nanoscience, 2017
Demand based crop recommender system for farmers
S. Kanaga Suba Raja, R. Rishi, E. Sundaresan, V. Srijit
Proceedings 2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development Tiar 2017, 2017
Embedding data in audio signals using HSA-EMD algorithm
R. Senthamizh Selvi, R. Kishore, G. R. Suresh, S. Kanaga Suba Raja
Iconstem 2017 Proceedings 3rd IEEE International Conference on Science Technology Engineering and Management, 2017
IOT based automation of fish farming
Journal of Advanced Research in Dynamical and Control Systems, 2017
An Energy Efficient Method for Secure and Reliable Data Transmission in Wireless Body Area Networks Using RelAODV
Kanaga Suba Raja, Usha Kiruthika
Wireless Personal Communications, 2015
Smart robot for disaster detection using zigbee technology
International Journal of Applied Engineering Research, 2015
Autonomous mobile navigation robot for agricultural purpose
International Journal of Applied Engineering Research, 2015
Congestion prediction in wireless network using gene expression programming technique
Journal of Theoretical and Applied Information Technology, 2014
Secured Smart Home Energy Monitoring System (SSHEMS) using Raspberry Pi
Journal of Theoretical and Applied Information Technology, 2014
Reliable and secured data transmission in wireless body area networks (WBAN)
European Journal of Scientific Research, 2012

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Scopus Publications