M. Prabu

@srmrmp.edu.in

Assistant Professor & CSE
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY,RAMAPURAM

M. Prabu


                  Download Compact PDF  
https://researchid.co/prabusye

EDUCATION

M.E (CSE)
17

Scopus Publications

190

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • A novel intrusion detection system: integrating greedy sand cat swarm optimization and dual attention graph convolutional networks
    M. Prabu, L. Sasikala, S. Suresh, R. Ramya
    International Journal of System Assurance Engineering and Management, 2025
  • Toward Futuristic Approach Air Quality Forecasting Using Ensemble Learning Regressors
    M. Prabu, L. Sasikala, S. Suresh, Shiny Duela
    Lecture Notes in Networks and Systems, 2025
  • Deep semantic segmentation and skin disease classification from dermoscopic images based on a modernized deep learning network with multi-feature extraction
    M. Prabu, S. MuthuKumar, T.N. Sudhahar, S. Chakaravarthi, N. Shanmugapriya, Rashima Mahajan
    Australian Journal of Electrical and Electronics Engineering, 2025
    In this research, an advanced deep learning model is proposed to segment and classify skin diseases. The skin images required for classification purposes are collected from public databases. Skin lesion segmentation is initially performed over collected images using Multi-head Attention-based MobileUNet, which helps locate lesions in dermoscopic images. The segmented images are fed to the feature extraction stage to get more representative features from the images to improve the classification performance. Features like texture, shape, and colour are extracted in this stage. The extracted features are given to the Adaptive Deep Capsule Network to classify the images. The segmented images are directly given to the Adaptive MobileNet to provide classification results. The final decision is made by averaging the classified outcome using the Adaptive Hybrid Network. The performance of classification is further enhanced by tuning the parameters from DCNet and MNet using the Enhanced Secretary Bird Optimisation. The performance validation finally shows the accurate performance in the skin disease classification model.
  • Spilled Deep Capsule Neural Network with Skill Optimization Algorithm for Breast Cancer Recognition in Mammograms
    Jayasimha S R, Rajendra V. Patil, Yashashwini S, Prabu M, Srisathirapathy S, R Maranan
    Proceedings of 8th International Conference on Inventive Computation Technologies Icict 2025, 2025
    Breast cancer stands as the main reason for cancer deaths among women worldwide so early detection plays an essential role in raising both survival statistics and treatment effectiveness. The common breast cancer screening method known as mammography leads radiologists to struggle when evaluating mammograms because they often make incorrect diagnoses that result in delayed medical procedures. Standard assessment techniques experience difficulties in identifying faint abnormalities which causes both incorrect positive and negative results. The proposed research implements a new methodology that utilizes MIAS dataset to detect breast cancer. The Adaptive Morphological Wavelet Perona-Malik Filter Algorithm operates on mammogram images for preprocessing to optimize quality and save vital image characteristics. A Spilled Deep Capsule Neural Network function (SDCN) utilizes the network for effective mammographic image detection and feature extraction. The Skill Optimization Algorithm (SOA) serves as a parameter optimization tool which boosts both accuracy and efficiency of the model. The developed method succeeded in reaching 99.9% accuracy while surpassing previous standard examination methods. The research demonstrates how advanced deep learning and optimization algorithms support radiologists by detecting breast cancer properly and expeditiously which creates better patient healthcare outcomes.
  • An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
    M. Prabu, Balika J. Chelliah
    Pattern Analysis and Applications, 2023
  • Develop Hybrid Wolf Optimization with Faster RCNN to Enhance Plant Disease Detection Performance Analysis
    M. Prabu, Balika J. Chelliah
    Lecture Notes on Data Engineering and Communications Technologies, 2023
  • Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm
    M. Prabu, Balika J. Chelliah
    Neural Computing and Applications, 2022
  • Evaluation and semantic approach for student performance prediction using data mining techniques
    M. Prabu, Kartikaya Srivastava, Vivek Kumar Sharma, Divya Dharshini Prabakar
    Aip Conference Proceedings, 2022
    Educational Data Mining (EDM) refers to the field that focuses on using various statistical methods and data mining techniques to draw inferences from large amount of educational data set. Over the years it has been used for student performance prediction by applying various machine learning processes and more recently deep learning. As a result of the lockdown announced after the spread of Covid-19, many colleges were forced to adapt to online learning tools. In this paper, we identify and evaluate the impact of the Covid-19 pandemic and its subsequent fallout in predicting student's academic performance. For this, a data set of various undergraduate students was compiled from March 2021. A Likert-type questionnaire was administered and large number of responses were gathered from various primary and secondary resources. This was subsequently used to validate the proposed methodology. Furthermore, different classification algorithms were used to predict the performance of the student and subsequently compared with one another based on their accuracy. The results show that the excessive use of e- learning tools including smartphones, laptops and tablets have a significant impact on student's academic performance as well as on their psychological health. The work will help us to better understand the impact of the lockdown on student's scholastic performance and point out areas where online-learning methods can be improved. © 2022 Author(s).
  • A Neural Network Architecture for Spatiotemporal PM2.5 Forecasting
    Justin Jenish, M. Prabu
    Proceedings of International Conference on Computing Communication Security and Intelligent Systems Ic3sis 2022, 2022
    PM2.5 concentrations have been increasing at an alarming rate, making it critical to precisely estimate their regional and temporal distributions. The task is complicated by the non-linear property of PM2.5 and the large number of geological and climatic elements that influence PM2.5 concentrations, as well as the difficulty inherent in modelling their varying spatiotemporal association. Conventional physical and statistical forecasting techniques fail at incorporating several variables and discovering intricate correlations, essential for reliable predictions. This paper proposes a graph neural network capable of modelling PM2.5 concentrations on real-world data by leveraging PM2.5 transport, domain knowledge and considering spatial correlation, by reworking PM2.5 historical data, meteorological and weather forecast data into graph data and employing graph isomorphism networks, similar to the Weisfeiler Lehman graph isomorphism test for powerful graph representation learning, an attention mechanism, and a dedicated recurrent neural network to model temporal distributions, to provide accurate forecasting.
  • Speech emotion recognition and features extraction based on NN classifier
    International Journal of Advanced Science and Technology, 2020
  • Automated traffic sign recognition system using computer vision
    M. Prabu, P. Patil, M. Yadav, N. Ranjan
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Communication sentiment analyzer using machine learning with naive bayes bernoullinb
    Mr. Prabu, , Mayank Singh Aithani, Niroj Deb, Pratyush Joshi, , , and
    International Journal of Engineering and Advanced Technology, 2019
  • Gsm controlled security automation and burglar trap
    International Journal of Advanced Science and Technology, 2019
  • Efficient data mining methodology for sports
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Utilization of asynchronous stochastic gradient descent with additively homomorphic encryption
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Prevention of transmission collision in distributed mobile networks
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • Image classification using convolution recurrent neural network algorithm
    Journal of Advanced Research in Dynamical and Control Systems, 2019

RECENT SCHOLAR PUBLICATIONS

  • A novel intrusion detection system: integrating greedy sand cat swarm optimization and dual attention graph convolutional networks
    MPLSSSR Ramya
    International Journal of System Assururance Engg and Management 6 (nil), 1-21 , 2025
    2025
    Citations: 4
  • Deep semantic segmentation and skin disease classification from dermoscopic images based on a modernized deep learning network with multi- feature extraction
    NSRM M. Prabu, S. MuthuKumar, T.N. Sudhahar, S. Chakaravarthi
    Australian Journal of Electrical and Electronics Engineering, 1-22 , 2024
    2024
    Citations: 4
  • An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
    M Prabu, BJ Chelliah
    Pattern Analysis and Applications 26 (1), 367-379 , 2023
    2023
    Citations: 47
  • Develop Hybrid Wolf Optimization with Faster RCNN to Enhance Plant Disease Detection Performance Analysis
    BJ Prabu, M. , Chelliah
    Springer 163, 243–253 , 2023
    2023
  • Correction to: Industrial-iot-hardware security-improvement using plan load optimization method in cloud.
    S Basheer, M Gopu, RM Mathew, MA Bivi, M Prabu
    Int. J. Syst. Assur. Eng. Manag. 13 (6), 3108 , 2022
    2022
  • A Neural Network Architecture for Spatiotemporal PM2. 5 Forecasting
    J Jenish, M Prabu
    2022 International Conference on Computing, Communication, Security and … , 2022
    2022
  • A multiscale and efficient recognition of land cover by using both decomposition and deep visual feature analysis
    MPBJ Chelliah2
    International Journal of Health Sciences 6 (S2), 8185–8190 , 2022
    2022
  • Evaluation and semantic approach for student performance prediction using data mining techniques
    MPBJ Chelliah2
    AIP Conference Proceedings 2405 (030031), 1-6 , 2022
    2022
    Citations: 3
  • Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm
    MPBJ Chelliah2
    Neural Computing and Applications 34 (9), 7311–7324 , 2022
    2022
    Citations: 109
  • A survey: benefits of mango leaves and techniques used for evaluvation of diseases affecting mango leaves
    M Prabu
    INFORMATION TECHNOLOGY IN INDUSTRY 9 (2), 507-512 , 2021
    2021
    Citations: 1
  • STAIRWAY ELECTRICITY USING PIEZO ELECTRIC GENERATOR
    MPAKJSB Kenway
    JOURNAL OF CRITICAL REVIEWS 7 (16), 125-127 , 2020
    2020
  • AUTOMATIC WASTE SEGREGATION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS
    SD M. Prabu, Anirban Pal, Vineet Loyer
    JOURNAL OF CRITICAL REVIEWS 7 (16), 112-118 , 2020
    2020
  • Detection of Interloper Using Sensors
    KR M.Prabu, S.Janani, C.Maneesha
    International Journal of Control and Automation 13 (4), 737 - 744 , 2020
    2020
  • IoT Based E-Health Care System for Telemedicine
    RS M. Prabu∗, P. Chella Pandi, V. A. Sarath
    Journal of Computational and Theoretical Nanoscience 17 (4), 1628–1632 , 2020
    2020
  • Speech Emotion Recognition and Features Extraction Based on NN Classifier
    RY M.Prabu1, Aditi Tiwari2, Ritesh Kumar Singh3
    International Journal of Advanced Science and Technology 29 (5), 2852 - 2857 , 2020
    2020
    Citations: 2
  • GSM CONTROLLED SECURITY AUTOMATION AND BURGLAR TRAP
    KVD M.Prabu1 , S. Nishanth2 , S.V.Aakash3
    International Journal of Advanced Science and Technology 29 (5), 1008-1013 , 2020
    2020
  • Enhancing Security and Safety for Vehicles Using Arduino
    m. prabu
    International Journal of Advanced Science and Technology 29 (3), 7801 - 7808 , 2020
    2020
  • Enhancing Customer Service Using Chatbot Application Through Artificial Intelligence
    m. prabu
    Journal of Computational and Theoretical Nanoscience 17 (4), 1633-1637 , 2020
    2020
    Citations: 11
  • Automated Traffic Sign Recognition System using Computer Vision
    NR M. Prabu, Pooja Patil, Mallika Yadav
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 2
  • Evolving Artificial Perception by Integrating Nlp and Cv
    KV M. Prabu, Mohammed Saif, P Naveen Barathi
    International Journal of Recent Technology and Engineering (IJRTE) 8 (4 … , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm
    MPBJ Chelliah2
    Neural Computing and Applications 34 (9), 7311–7324 , 2022
    2022.0
    Citations: 109
  • An intelligent approach using boosted support vector machine based arithmetic optimization algorithm for accurate detection of plant leaf disease
    M Prabu, BJ Chelliah
    Pattern Analysis and Applications 26 (1), 367-379 , 2023
    2023.0
    Citations: 47
  • Enhancing Customer Service Using Chatbot Application Through Artificial Intelligence
    m. prabu
    Journal of Computational and Theoretical Nanoscience 17 (4), 1633-1637 , 2020
    2020.0
    Citations: 11
  • A novel intrusion detection system: integrating greedy sand cat swarm optimization and dual attention graph convolutional networks
    MPLSSSR Ramya
    International Journal of System Assururance Engg and Management 6 (nil), 1-21 , 2025
    2025.0
    Citations: 4
  • Deep semantic segmentation and skin disease classification from dermoscopic images based on a modernized deep learning network with multi- feature extraction
    NSRM M. Prabu, S. MuthuKumar, T.N. Sudhahar, S. Chakaravarthi
    Australian Journal of Electrical and Electronics Engineering, 1-22 , 2024
    2024.0
    Citations: 4
  • Evaluation and semantic approach for student performance prediction using data mining techniques
    MPBJ Chelliah2
    AIP Conference Proceedings 2405 (030031), 1-6 , 2022
    2022.0
    Citations: 3
  • Efficient Data Mining Methodology for Sports
    SAK Prabu M, Sudhaghar J, Viswajith R, Venkata Narsimha I
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019.0
    Citations: 3
  • Speech Emotion Recognition and Features Extraction Based on NN Classifier
    RY M.Prabu1, Aditi Tiwari2, Ritesh Kumar Singh3
    International Journal of Advanced Science and Technology 29 (5), 2852 - 2857 , 2020
    2020.0
    Citations: 2
  • Automated Traffic Sign Recognition System using Computer Vision
    NR M. Prabu, Pooja Patil, Mallika Yadav
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019.0
    Citations: 2
  • Communication Sentiment Analyzer using Machine Learning with Naive Bayes Bernoullinb
    PJ M. Prabu, Mayank Singh Aithani, Niroj Deb
    International Journal of Engineering and Advanced Technology (IJEAT) 9 (1 … , 2019
    2019.0
    Citations: 2
  • A survey: benefits of mango leaves and techniques used for evaluvation of diseases affecting mango leaves
    M Prabu
    INFORMATION TECHNOLOGY IN INDUSTRY 9 (2), 507-512 , 2021
    2021.0
    Citations: 1
  • Enhancing Customer Service Using Chatbot Application Through Artificial Intelligence
    A Mohamed, M Prabu, SS Tarun, A Vijay
    Sai and Vijay, A., Enhancing Customer Service Using Chatbot Application … , 2018
    2018.0
    Citations: 1
  • Smart Home Management Using IoT
    M Prabu, MK Alam, S Soni, K Singh
    International Journal of Emerging Technologies in Engineering Research , 0
    Citations: 1
  • Develop Hybrid Wolf Optimization with Faster RCNN to Enhance Plant Disease Detection Performance Analysis
    BJ Prabu, M. , Chelliah
    Springer 163, 243–253 , 2023
    2023.0
  • Correction to: Industrial-iot-hardware security-improvement using plan load optimization method in cloud.
    S Basheer, M Gopu, RM Mathew, MA Bivi, M Prabu
    Int. J. Syst. Assur. Eng. Manag. 13 (6), 3108 , 2022
    2022.0
  • A Neural Network Architecture for Spatiotemporal PM2. 5 Forecasting
    J Jenish, M Prabu
    2022 International Conference on Computing, Communication, Security and … , 2022
    2022.0
  • A multiscale and efficient recognition of land cover by using both decomposition and deep visual feature analysis
    MPBJ Chelliah2
    International Journal of Health Sciences 6 (S2), 8185–8190 , 2022
    2022.0
  • STAIRWAY ELECTRICITY USING PIEZO ELECTRIC GENERATOR
    MPAKJSB Kenway
    JOURNAL OF CRITICAL REVIEWS 7 (16), 125-127 , 2020
    2020.0
  • AUTOMATIC WASTE SEGREGATION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS
    SD M. Prabu, Anirban Pal, Vineet Loyer
    JOURNAL OF CRITICAL REVIEWS 7 (16), 112-118 , 2020
    2020.0
  • Detection of Interloper Using Sensors
    KR M.Prabu, S.Janani, C.Maneesha
    International Journal of Control and Automation 13 (4), 737 - 744 , 2020
    2020.0