N.Revathy

@hicas.ac.in

Professor & PG and Research Department of Computer Applications
Hindusthan college of arts and science

N.Revathy


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https://researchid.co/nrevathy

EDUCATION

M.C.A., M..,

RESEARCH INTERESTS

1. Networks
2. Data Mining
20

Scopus Publications

290

Scholar Citations

10

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Predictive Modeling of Forest Cover Types Using XGBoost and Hyperparameter Tuning
    M. Kavitha, N. Revathy
    Lecture Notes in Networks and Systems, 2026
  • An Enhanced Pre-Activation CNNs to Detect Involuntary Lung Nodules for Early Intervention
    Premkumar Shanmugam, Revathy Nanjappan
    Aip Conference Proceedings, 2025
  • Novel Hybrid RNN K-Means Algorithm for the Forest Cover Type Prediction
    Kavitha Murugesan, Revathy Nanjappan
    Aip Conference Proceedings, 2025
  • Enhancing Scalability and Network Performance in MANET using Cognitive Routing with Reinforcement Learning
    K. Sivapriya, N. Revathy
    2025 3rd International Conference on Sustainable Computing and Smart Systems Icscss 2025, 2025
    The de-centralized functioning, limited energy resources, and changeable topologies of mobile ad hoc networks (MANETs) provide considerable issues. Reduced scalability and less-than-ideal network performance are frequently the results of traditional routing methods' inability to adapt effectively in such settings. Each node can function as an intelligent agent in this paper's proposed Cognitive Routing Protocol based on Reinforcement Learning (CRP-RL), which allows it to see its surroundings, learn the best routing techniques, and dynamically adjust to network changes. Each node examines its neighbor nodes individually using Q-learning, taking into account a variety of factors such packet success rate, delay, link quality, and residual energy. The protocol continuously improves packet delivery ratio, reduces latency, and boosts energy efficiency by using a reward-based approach to optimize routing decisions. In highly mobile and resource-constrained MANET contexts, CRP-RL dramatically enhances routing performance while preserving scalability, as shown by experimental analysis and architectural modeling.
  • Security-Aware Optimal Cluster Head-Based Energy-Efficient Data Transmission on Wireless Sensor Network
    A. D. Bharath, N. Revathy
    Smart Innovation Systems and Technologies, 2025
  • Enhancing Customer Experience in Retail for Adaptive Store Layouts with Reinforcement Learning
    P. Suresh, T Sivakumar, N. Revathy, M. Pandi
    Proceedings of International Conference on Visual Analytics and Data Visualization Icvadv 2025, 2025
    In the competitive retail industry, improving customer experience is essential for increasing sales and cultivating brand loyalty. A crucial determinant of consumer happiness is the shop layout, which impacts customers' navigation, exploration, and interaction with merchandise. Traditional store layouts are often inflexible and do not adjust to evolving customer behaviour, hence diminishing their efficacy in enhancing the shopping experience. This paper examines the use of Reinforcement Learning (RL) to create adaptable shop layouts that adjust based on real-time consumer interactions. Through the analysis of customer behaviour and feedback, RL algorithms may dynamically modify the layout of merchandise, aisles, and promotional areas, therefore optimizing the retail environment for both consumers and merchants. The RL algorithm analyses historical data, progressively optimizing store layouts to correspond with consumer preferences, so improving the entire shopping experience. It provides substantial advantages, such as enhanced consumer involvement, more operational efficiency, and elevated revenue designs. It examines the potential of RL in revolutionizing retail settings in optimizing adaptable shop layouts and its effects on consumer happiness and corporate performance.
  • EMLARDE tree: ensemble machine learning based random de-correlated extra decision tree for the forest cover type prediction
    T. Guhan, N. Revathy
    Signal Image and Video Processing, 2024
  • Financial and economic analysis on serverless computing sytem services
    T. Guhan, G. Chandra Sekhar, N. Revathy, K. Baranidharan, H. Mickle Aancy
    Essential Information Systems Service Management, 2024
    In this chapter, the economic implications of serverless computing for enhancing human living experiences are exemplified. The infrastructure expenses, pay-per-use pricing models, and operational overhead have been elaborated. The cost efficiencies and allocation of resources towards innovation and growth initiatives have been achieved by eliminating the need for provisioning, managing, and scaling servers. The impact of serverless computing on business operations, market dynamics, and industry competitiveness is economically analyzed. However, the challenges (vendor lock-in, security concerns, and performance optimization complexities) have been considered.
  • A Stacking Ensemble Deep Learning Model for the Parkinson Disease Classification
    B. Sathyabama, N. Revathy
    2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
    Parkinson's disease (PD) is a prevalent and serious neurological condition. Early signs of the disease have been associated with voice impairments, making the development of diagnostic tools crucial for early detection. Furthermore, intelligent systems designed to classify PD patients and healthy individuals could be valuable for prodromal diagnosis in the future. Individuals with rapid eye movement (REM) sleep behavior disorder (RBD) serve as a good model, as they are highly likely to develop PD. Studies have demonstrated that even minor speech and voice impairments may indicate preclinical PD. In this study, a stacking ensemble deep learning model combined with a Modified Brain Storm Optimization-based feature selection technique is proposed for the effective classification of PD patients. Energy, wavelet Shannon entropy, zero-crossing rate (ZCR), Mel Frequency Cepstral Coefficient (MFCC), and Linear Predictive Coding (LPC) are among the variables that were retrieved. To select features and reduce the number of features, the Modified Brain Storm Optimization method is utilized. Subsequently, a stacking ensemble deep learning model is introduced for classifying PD data. Analysis of the implementation demonstrates the effectiveness and superiority of this novel approach compared to existing classification models, such as ResNet V2, LSTM, Granular Neural Networks, and Elman Neural Networks. In classification tasks, predictive models are used to determine class levels, and this research explores various such models. Combining multiple classification algorithms to create a set of predictive models for each class level is often a more effective strategy. The proposed system shows promise as a highly effective tool for diagnosing PD with exceptional performance.
  • Harnessing Advanced Digital (AI) Technologies for Environmental Applications: Carbon-Based Materials
    V. Jaganraja, Nurpatsha Seidakhmet, T. Guhan, Durai Vasanth R., N. Revathy, R. Premkumar
    Environmental Applications of Carbon Based Materials, 2024
    Artificial intelligence (AI) technology, in particular machine learning algorithms and big data analytics, can enhance these materials' effectiveness and performance, promoting environmental sustainability. It talks about how AI may be used with carbon-based materials, emphasizing the advantages for the environment such as pollutant detection platforms and self-governing monitoring systems. Notwithstanding obstacles like technology limitations, scalability issues, and data protection, its goal is to close the gap between laboratory research and practical application. To achieve maximum environmental sustainability, cooperation and strategic alliances are required.
  • EGMPIP: Enhanced Geographic Multipath Routing using Gossip-Based Direct Neighbor Discovery Algorithm in Wireless Sensor Networks
    N. Senthilkumar, N. Revathy, T. Guhan
    2023 International Conference on Computer Communication and Informatics Iccci 2023, 2023
  • Evolutionary algorithm for target tracking adaptive pigeon inspired optimization based on energy proficient steering in wireless sensor networks
    Internet of Everything Smart Sensing Technologies, 2022
  • A Systematic BPCLSTM Algorithm for Concept Drift Detection Incorporated Sentiment Mining
    A. Uma Maheswari, N. Revathy, T. Guhan, B. Praveen, R. Magesh Kumar
    2022 International Conference on Computer Communication and Informatics Iccci 2022, 2022
  • IOT based Agriculture Monitoring System using Arduino UNO
    N. Revathy, T. Guhan, S. Nandhini, S. Ramadevi, R. Dhipthi
    2022 International Conference on Computer Communication and Informatics Iccci 2022, 2022
  • An Autonomous and Intelligent flame sensing extinguishing robot
    K. Anuradha, R. Prema, N. Revathy, T. Guhan, K. P. Uma
    2021 International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2021, 2021
  • Elitist streamlined sawtooth genetic algorithm (Sawtga) for anticipating the menace of coronary heart disease
    Oxidation Communications, 2021
  • EEDCHS-PSO: Energy-Efficient Dynamic Cluster Head Selection with Differential Evolution and Particle Swarm Optimization for Wireless Sensor Networks (WSNS)
    T. Guhan, N. Revathy, K. Anuradha, B. Sathyabama
    Advances in Intelligent Systems and Computing, 2021
  • Efficient computational linguistics framework for concept drift detection
    Ms.A.Uma Maheswari, Dr G Revathy
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Pre-processed hierarchical clustering for time series data streams
    Dr.V. Kavitha, Dr.A.V.Senthil Kumar, Dr.N. Revathy, Mr.C.Daniel Nesa Kumar, M Hemashree
    International Journal of Recent Technology and Engineering, 2019
  • GA-SVM wrapper approach for gene ranking and classification using expressions of very few genes
    Journal of Theoretical and Applied Information Technology, 2012

RECENT SCHOLAR PUBLICATIONS

  • CyberSentinel:An Autonomous AI-Driven Framework for Real-Time Threat Hunting and Self-Healing in Windows Environments
    SSM N. Revathy, V. Latha Sivasankari, V. Nikileshwar, G. Surendhiran, M. Abijith
    International Conference on Information and Communication Technology for … , 2026
    2026
  • Smart System for Identifying Lead Disease Detection using AI and Computer Vision
    BK N. Revathy, M. Tamilmani, P. Naveena, S. Mariya Nisha, V. Mega varshini
    International Conference on Information and Communication Technology for … , 2026
    2026
  • Temporary Anonymous E-Mail Generator Website-Pro
    SR Dr. N. Revathy
    International Scientific Journal of Engineering and Management ( ISSN No … , 2026
    2026
  • Enhancing Scalability and Network Performance in MANET using Cognitive Routing with Reinforcement Learning
    K Sivapriya, N Revathy
    2025 3rd International Conference on Sustainable Computing and Smart Systems … , 2025
    2025
  • Enhancing Scalability and Network Performance in Mobile Adhoc Networks using Cognitive Routing with Reinforcement Learning
    DNR K.Sivapriya
    IEEE Sponsored International Conference on Sustainable Computing and Smart … , 2025
    2025
  • Innovations in Engineering Research trough Artificial Intelligence and Machine Learning (ISBN No:978-93-343-6146-9)
    DNR Dr.T.Guhan
    2025
  • Innovations in Engineering Research trough Artificial Intelligence and Machine Learning
    DNR Dr.T.Guhan
    Computer Park Publishing 1, 128 , 2025
    2025
  • Detection of Wormhole Attacks in MANET’s using Feature Selectional Algorithms
    DNR K.Sivapriya
    Innovations in Engineering Research through Artificial Intelligence and … , 2025
    2025
  • Prediction of Forest Cover Type using CNN-RNN AO Algorithm
    DNR M.Kavitha
    Innovations in Engineering Research through Artificial Intelligence and … , 2025
    2025
  • Manufacturing Vegan Leather in Transforming the Apparel Industry
    DNR J.Jasmitha
    Innovations in Engineering Research through Artificial Intelligence and … , 2025
    2025
  • Tomography Detection from Radiology Images usign Machine Learning
    MLS J.Keerthi Bhushan, Dr.K.Padmavathi, Dr.N.Revathy
    Innovations in Engineering Research through Artificial Intelligence and … , 2025
    2025
  • Smart Road Safety Real Time Accident Detection and Speedy Recovery Notification System using AI
    DNR M. Gobi, Dr.S.Kavitha, Dr.V.Sulochana
    Innovations in Engineering Research through Artificial Intelligence and … , 2025
    2025
  • Accident Prevention System using Driver Face Detection and Recognition Analysis
    DNR R.Kavin
    From Algorithms to Intelligence: Navigating the Frontiers of AI, Security … , 2025
    2025
  • Enhanced Precision in Parkinson’s Disease Detection by a Comparative Analysis of SVM and Random Forest Classifiers
    DNR R.Jana
    From Algorithms to Intelligence: Navigating the Frontiers of AI, Security … , 2025
    2025
  • Real-Time Object Detection, Motion Analysis, and Human Expression Recognition Using Live Video Streams
    DNR K. Suriyaprakash
    From Algorithms to Intelligence: Navigating the Frontiers of AI, Security … , 2025
    2025
  • shaping the Digital Future:From Algorithms to Intelligence
    DSP Dr. N. Revathy
    2025
  • Enhancing Customer Experience in Retail for Adaptive Store Layouts with Reinforcement Learning
    NR T. Guhan
    International Conference on Visual Analytics and Data Visualization (IEEE … , 2025
    2025
  • Security-Aware Optimal Cluster Head-Based Energy-Efficient Data
    AD Bharath, N Revathy
    Business Intelligence and Data Analytics: Proceedings of BIDA 2024, 261 , 2025
    2025
  • Detection of Risk Management in Financial Sector using Random Forest Algorithm
    MMK J.Tamli Bris, N Revathy
    From Algorithms to Intelligence: Navigating the Frontiers of AI, Security … , 2025
    2025
  • Prediction of Liver Cirrhosis using Machine Learning
    SP S.Sruthika, N.Revathy, S.Dhivya
    Shaping the Digital Future: From Algorithms to Intelligence 1, 43-52 , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Face Recognition System using Back Propagation Artificial Neural Networks
    TG Dr N Revathy
    IJAET 3 (I), 321-324 , 2012
    2012
    Citations: 40
  • Accurate Cancer Classification using Expressions of Very few Genes
    DRA Dr.N.Revathy
    International Journal of Computer Applications (IJCA) 14 (4), 19-22 , 2011
    2011
    Citations: 35
  • EMLARDE tree:ensemble machine learning based random de-correlated extra decision tree for the forest cover type Prediction
    NR T. Guhan
    Signal, Image and Video Processing (doi.org/10.1007/s11760-024-03470-0) , 2024
    2024
    Citations: 18
  • Efficacy of biocontrol micro organisms on root rot of black gram caused by Macrophomina phaseolina (Tassi) gold
    K Sethuraman, N Revathy, M Manivannan
    Legume Research-An International Journal 26 (3), 218-220 , 2003
    2003
    Citations: 18
  • Financial and Economic Analysis on Serverless Computing Sytem Services
    T Guhan, GC Sekhar, N Revathy, K Baranidharan, HM Aancy
    Essential Information Systems Service Management, 83-112 , 2025
    2025
    Citations: 12
  • Linear discriminant analysis of grain quality traits in rice (Oryza sativa L.) using the digital imaging technique
    C Deepika, RP Gnanamalar, K Thangaraj, N Revathy, A Karthikeyan
    Journal of Cereal Science 109, 103609 , 2023
    2023
    Citations: 11
  • EEDCHS-PSO: Energy Efficient Dynamic Cluster Head Selection with Differential Evolution and Particle Swarm Optimization for Wireless Sensor Networks (WSNS)
    BS T.Guhan, N.Revathy, K.Anuradha
    Advances in Intelligent Systems and Computing - Springer (hhtp://doi.org/10 … , 2021
    2021
    Citations: 11
  • GA-SVM Wrapper Approach for Gene Ranking and Classification using Expressions of Very Few Genes
    DRA Dr.N.Revathy
    International Journal of Theoretical and Applied Information Technology 40 … , 2012
    2012
    Citations: 11
  • In vitro inhibition of jasmine wilt pathogen Sclerotium rolfsii by antagonists.
    N Revathy, M Muthusamy
    2003
    Citations: 11
  • Iot based agriculture monitoring system using arduino uno
    N Revathy, T Guhan, S Nandhini, S Ramadevi, R Dhipthi
    2022 International Conference on Computer Communication and Informatics … , 2022
    2022
    Citations: 10
  • Combining ability analysis for yield and yield contributing traits in rice (Oryza sativa L.)
    C Deepika, RP Gnanamalar, K Thangaraj, N Revathy
    Electronic Journal of Plant Breeding 10 (2), 440-445 , 2019
    2019
    Citations: 10
  • Comparative studies using various substrates for enhancing yield of Pleurotus spp
    R Kavipriya, N Revathy, CV Karthikeyan
    Int. J. Curr. Microbiol. App. Sci 9 (11), 2831-2852 , 2020
    2020
    Citations: 9
  • Public Auditing For Shared Data with Efficient User Revocation in the Cloud
    RR Dr N Revathy
    International Journal of Advance Research and Development 2 (6), 184-189 , 2017
    2017
    Citations: 7
  • Prevalence, symptomatology, pathogenicity and nutritional requirements of Fusarium oxysporum f.sp. phaseoli causing Fusarium yellows of French bean in …
    S Anusuya, M Muthamilan, N Revathy, M Ananthan
    2016
    Citations: 7
  • Management of tungro virus disease of rice with antagonists and botanicals.
    M Muthamilan, N Revathy
    2007
    Citations: 7
  • Induction of resistance through silicon and other eco-friendly approaches for the management of major pests of green gram
    M Ganapathy, P Chandramani, J Jayaraj, N Revathy, P Balasubramaniam
    M. Sc.,(Ag.) Thesis, TNAU, Madurai , 2022
    2022
    Citations: 6
  • Analyzing and Detecting Phishing web pages with visual similarity assessment based on earth mover's distance with linear programming model.
    TG N.Revathy
    International Journal of Advanced Engineering Technology 3 (1), 327-330 , 2012
    2012
    Citations: 6
  • Harnessing Trichoderma spp. For sustainable plant disease management: Mechanisms, metabolites and application strategies-a review
    M Ayyandurai, M Theradimani, IY Raja, R Balakumbahan, SMP Kumari, ...
    Journal of Animal & Plant Sciences 34 (2), 304-317 , 2024
    2024
    Citations: 5
  • Pre-processed Hierarchical Clustering for Time Series Data Streams
    PH Dr.V.Kavitha, Dr.A.V.Senthil Kumar, Dr.N.Revathy, C.Daniel Nesa Kumar
    International Journal of Recent Technology and Engineering (IJRTE) Scopus … , 2019
    2019
    Citations: 5
  • House (Individual House/Apartment) Rental Management System
    VK RB Shriram,N.Revathy, P.Nandhakumar
    2019
    Citations: 5