Dr. Madhu B R

@jyothyit.ac.in

Professor and Head, Department of Artificial Intelligence & Machine Learning

Dr. Madhu B R


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https://researchid.co/brmadhu
14

Scopus Publications

80

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • A Modified Henon Map Based Image Encryption Framework
    Smita Agrawal, B R Madhu
    SN Computer Science, 2025
  • A Secure Image Encryption Framework Using Modified Henon Map with Integrity Verification
    Smita Agrawal, Madhu B R
    International Journal of Computing and Digital Systems, 2025
  • FusionNet-RS: A Deep Feature Fusion Model for Remote Sensing Image Classification on PatternNet
    Shreya Aparanji, T. A. Nayana, S. Nikitha, Sudhanva H. P, Raju G, et al.
    2025 International Conference on Computing Technologies Icoct 2025, 2025
  • An Improved Henon Map Based Encryption Scheme for Secure Image Transmission
    Smita Agrawal, Madhu B R
    Proceedings of Inc4 2024 2024 IEEE International Conference on Contemporary Computing and Communications, 2024
  • Cognitive Object Detection: A Deep Learning Approach with Auditory Feedback
    Pooja S, Prasanna Kumar K, A S Sushmitha Urs, Vaibhavi B Raj, Madhu B R, et al.
    Proceedings of Icwite 2024 IEEE International Conference for Women in Innovation Technology and Entrepreneurship, 2024
    Amidst the backdrop of technological convergence, this study delves into the realm of augmented visual intelligence. It does so by orchestrating a harmonious fusion of the YOLOv3 framework, deep learning paradigms, and the seamless integration of Text-to-Speech (TTS) capabilities. The research paper meticulously dissects a methodological blueprint designed for the creation of an object recognition system, impeccably tailored to the precise identification of objects within the comprehensive COCO dataset. With the YOLOv3 architecture as our cornerstone, meticulous parameter fine-tuning transpires within the Darknet framework, ensuring an unswerving alignment with the diverse object categories that define the COCO dataset. Our system demonstrates proficiency by deploying TTS technology to deliver real-time auditory interpretations of recognized objects, enhancing both user accessibility and engagement. The ethical compass steadfastly guides our approach, encompassing privacy safeguards that underscore our commitment to the conscientious and responsible utilization of data. System performance is rigorously assessed through the lens of pivotal metrics, including precision, recall, and the F1 score, validating the system’s precision and reliability. This research elucidates the transformative potential innate to the amalgamation of deep learning and TTS integration within the sphere of object recognition, thus carving a path for pioneering applications and the evolution of technology.
  • 2D Mapping and Exploration Using Autonomous Robot
    N. Shravan, M. Manoj Kumar, Sriraag Jayanth, R. S. Bindu, B. R. Madhu, et al.
    Lecture Notes in Electrical Engineering, 2024
  • Action Detection for Sign Language Using Machine Learning
    A S Sushmitha Urs, Vaibhavi B Raj, Pooja S, Prasanna Kumar K, Madhu B R, et al.
    2023 International Conference on Network Multimedia and Information Technology Nmitcon 2023, 2023
    This research intends to build an effective and quick algorithm for identifying the alphabets in American Sign Language (ASL) using natural hand movements, increasing communication accessibility for people with hearing impaired limitations. The system's ultimate goal is to act as a translator between spoken language and sign language, enabling more effective and efficient communication between those with hearing loss and others who don't have any hearing loss. The research uses image processing, machine learning, and CNN-based artificial intelligence to recognize ASL movements and generate outputs that are simple to interpret. The potential impact of this work on communication accessibility for people who have hearing loss is significant.
  • Predicting unlabeled traffic for intrusion detection using semi-supervised machine learning
    Anku Jaiswal, A. S. Manjunatha, B.R. Madhu, Murthy P. Chidananda
    2016 International Conference on Electrical Electronics Communication Computer and Optimization Techniques Iceeccot 2016, 2017
    Intrusion is one of the most serious problems with network Security, as new types of intrusions are getting much more challenging to detect. Large amount of network traffic has been generated due to the use of internet; most of the generated traffic is in the format which cannot be used directly to arrive at meaningful information. The cleansing and labeling of data each time needs a considerable amount of human effort, and is time consuming. In this paper we show how, Semi supervised machine learning technique can be used in intrusion detection, for both labeled and unlabeled data. In the proposed technique we take a small amount of labeled data to create model and using this model we show how to predict the unlabeled traffic. Machine Learning tool is used for this purpose which uses semi-supervised classifier to build the model. The created model is then integrated in Pentaho which with the help of Weka Scoring provides the expected output. The proposed technique helps the network administrator to take quick decision by classifying the incoming traffic as either malicious or normal and hence efficient detection of intrusion.
  • Minimizing execution time of cloudlets through optimal allocation of virtual machines using genetic algorithm
    Prakash Chandra, A. S. Manjunatha, P. Chidananda Murthy, B. R. Madhu
    2016 International Conference on Electrical Electronics Communication Computer and Optimization Techniques Iceeccot 2016, 2017
    The features like on-demand self service, rapid elasticity, measured service, broad network access has increased the popularity of cloud computing and has motivated the business organization to adopt the cloud as part of their IT services and solutions. Various statistics and survey has proved that the user-base of the cloud is increasing day by day, which has enforced the cloud service providers to ensure the high availability and reliability of their services to maintain good credibility in the market. The cloud is powered by the virtualization technology, which makes it possible to deliver the computing services in the form of Virtual Machines (VMs). The efficiency of any cloud system greatly depends on its VM allocation policy, which is the policy adopted by cloud service provider to allocate the virtual machine to the available physical server. This paper presents the proposed technique of using genetic algorithm to find the optimal solution to allocate and map the virtual machines to the hosts and hence maximizing the utilization of resources. The experimental analysis carried out on CloudSim tool has proved that the proposed technique is more efficient and can provide good scope for future research.
  • A comparative study of algorithms for efficient dynamic consolidation of virtual machines in cloud
    International Journal of Applied Engineering Research, 2016
  • Building efficient classifiers for intrusion detection with reduction of features
    International Journal of Applied Engineering Research, 2016
  • Detecting Malicious Cloud Bandwidth consumption using machine learning
    Chidananda Murthy P., Manjunatha A.S., Anku Jaiswal, Madhu B.R.
    International Journal of Engineering and Technology, 2016
  • Minimizing energy consumption in cloud datacenters using task consolidation
    Madhu B.R., Manjunatha A.S., Prakash Chandra, Chidananda Murthy P
    International Journal of Engineering and Technology, 2016
  • Data mining based CIDS: Cloud intrusion detection system for masquerade attacks [DCIDSM]
    P. Jain Pratik, B. R. Madhu
    2013 4th International Conference on Computing Communications and Networking Technologies Icccnt 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • A Modified Henon Map Based Image Encryption Framework
    S Agrawal, BR Madhu
    SN Computer Science 6 (6), 697 , 2025
    2025
    Citations: 1
  • FusionNet-RS: A Deep Feature Fusion Model for Remote Sensing Image Classification on PatternNet
    S Aparanji, TA Nayana, S Nikitha
    2025 International Conference on Computing Technologies (ICOCT), 1-7 , 2025
    2025
  • AGROMIND AI: Empowering Farmers with Context?Aware, LLM - Driven Agricultural Intelligence
    VK Chinmayi C S , Nandan Kumar S , Suman K , Murali Krishna N , Dr. Madhu B R
    INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY 12 (1), 183-188 , 2025
    2025
  • Multi Agent Research Assistant
    MSVK Spoorthy G R , Smitha R , Punith Panduranga A B , Manas S Gowda , Dr ...
    International Journal of Innovative Research in Technology 12 (1), 76-82 , 2025
    2025
  • A Secure Image Encryption Framework Using Modified Henon Map with Integrity Verification
    S Agrawal, M BR
    International Journal of Computing and Digital Systems 18 (1), 1-14 , 2025
    2025
  • An improved henon map based encryption scheme for secure image transmission
    S Agrawal, BR Madhu
    2024 IEEE international conference on contemporary computing and … , 2024
    2024
    Citations: 7
  • Cognitive object detection: A deep learning approach with auditory feedback
    S Pooja, ASS Urs, VB Raj, BR Madhu, V Kumar
    2024 IEEE International Conference for Women in Innovation, Technology … , 2024
    2024
    Citations: 2
  • Action detection for sign language using machine learning
    ASS Urs, VB Raj, V Kumar
    2023 International Conference on Network, Multimedia and Information … , 2023
    2023
    Citations: 3
  • Blind Assistance System using Digital Image Processing
    SKN Prasanna Kumar K, Pooja S, Madhu B R
    2023
  • 2D Mapping and Exploration Using Autonomous Robot
    N Shravan, M Manoj Kumar, S Jayanth, RS Bindu, BR Madhu, ...
    International Conference on Emerging Research in Computing, Information … , 2023
    2023
  • A Survey On Detection of Falsified and Substandard Drugs
    J Arpitha, DV Bhat, N Shashikanth, BS Sharanya, BR Madhu
    Perspectives in Communication, Embedded-systems and Signal-processing-PiCES … , 2022
    2022
  • A Survey on Silk supply chain management using blockchain
    AS Prasad, DB Shetty
    Perspectives in Communication, Embedded-systems and Signal-processing-PiCES … , 2021
    2021
  • A Contrast on Blockchain Consensus
    MBR Ayush Kamal Anand, Manisha R Rao
    Journal of Computer Science Engineering and Software Testing 6 (1), 1-5 , 2020
    2020
  • STOCK MARKET PREDICTION USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
    MBR Prerana C, Pratheeksha Mahishi J, N Tahmin Taj, Anusha B Shetty
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
    Citations: 3
  • A Survey of Issues in Health Insurance System and Solution through Blockchain
    SB Manisha R Rao, Adithya H N, Pavan M S, Madhusudhan K, Madhu B R
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
  • Algorithmic Trading using Mean Reversion Indicators
    M B R, H P, M M, YA Reddy, N Chowdary K
    International Journal of Computer Science and Mobile Computing 8 (6), 7-13 , 2019
    2019
    Citations: 3
  • SECURE DATA SHARING ON CLOUD USING TRANSPARENCY SERVICE MODEL
    BR Madhu, M Sindhu, HA Aravinda, S Aishwarya, AM Nesara
    2019
  • IoT based home automation system over cloud
    B Madhu, K Vaishnavi, NG Dushyanth, SC Tushar Jain
    Int. J. Trend Sci. Res. Dev. 3 (4), 966-968 , 2019
    2019
    Citations: 5
  • Algorithm for Task Consolidation in Cloud Computing: A Comparative Survey
    R Pugaliya, BR Madhu
    International Journal of Research Granthaalayah 6 (5) , 2018
    2018
    Citations: 3
  • Two-layered honeypot system implemented on a cloud server
    MBR Abhinandan Shetty, K Sriram, Nandish R, Ruthwik Soudry
    International Journal of Advance Research, Ideas and Innovations in … , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • Predicting unlabeled traffic for intrusion detection using semi-supervised machine learning
    A Jaiswal, AS Manjunatha, BR Madhu, MP Chidananda
    2016 International Conference on Electrical, Electronics, Communication … , 2016
    2016
    Citations: 13
  • An Efficient Approach to Find Best Cloud Provider Using Broker
    BR Madhu, KK Amrutha
    International Journal of Advanced Research in Computer Science and Software … , 2014
    2014
    Citations: 9
  • An improved henon map based encryption scheme for secure image transmission
    S Agrawal, BR Madhu
    2024 IEEE international conference on contemporary computing and … , 2024
    2024
    Citations: 7
  • Building efficient classifiers for intrusion detection with reduction of features
    PC Murthy, AS Manjunatha, A Jaiswal, BR Madhu
    International Journal of Applied Engineering Research 11 (6), 4590-4596 , 2016
    2016
    Citations: 6
  • Data mining based CIDS: Cloud intrusion detection system for masquerade attacks [DCIDSM]
    PJ Pratik, BR Madhu
    2013 Fourth International Conference on Computing, Communications and … , 2013
    2013
    Citations: 6
  • IoT based home automation system over cloud
    B Madhu, K Vaishnavi, NG Dushyanth, SC Tushar Jain
    Int. J. Trend Sci. Res. Dev. 3 (4), 966-968 , 2019
    2019
    Citations: 5
  • A Comparative Study of Algorithms For Efficient Dynamic Consolidation of Virtual Machines In Cloud
    BR Madhu, AS Manjunatha, P Chandra, C Murthy
    J Applied Engineering Research 11 (6), 4597-4600 , 2016
    2016
    Citations: 5
  • Prevent DDOS Attack in Cloud Using Machine Learning
    BR Madhu, A Jaiswal, PC Murthy
    International Journal of Advanced Research in Computer Science and Software … , 2016
    2016
    Citations: 4
  • Action detection for sign language using machine learning
    ASS Urs, VB Raj, V Kumar
    2023 International Conference on Network, Multimedia and Information … , 2023
    2023
    Citations: 3
  • STOCK MARKET PREDICTION USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
    MBR Prerana C, Pratheeksha Mahishi J, N Tahmin Taj, Anusha B Shetty
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
    Citations: 3
  • Algorithmic Trading using Mean Reversion Indicators
    M B R, H P, M M, YA Reddy, N Chowdary K
    International Journal of Computer Science and Mobile Computing 8 (6), 7-13 , 2019
    2019
    Citations: 3
  • Algorithm for Task Consolidation in Cloud Computing: A Comparative Survey
    R Pugaliya, BR Madhu
    International Journal of Research Granthaalayah 6 (5) , 2018
    2018
    Citations: 3
  • Minimizing execution time of cloudlets through optimal allocation of virtual machines using genetic algorithm
    P Chandra, AS Manjunatha, PC Murthy, BR Madhu
    2016 International Conference on Electrical, Electronics, Communication … , 2016
    2016
    Citations: 3
  • Minimizing Energy Consumption in Cloud Datacenters using Task Consolidation,
    BR Madhu, DAS Manjunatha, P Chandra, PC Murthy
    International Journal of Engineering and Technology (IJET) 8 (5) , 2016
    2016
    Citations: 3
  • Cognitive object detection: A deep learning approach with auditory feedback
    S Pooja, ASS Urs, VB Raj, BR Madhu, V Kumar
    2024 IEEE International Conference for Women in Innovation, Technology … , 2024
    2024
    Citations: 2
  • Data Mining based CIDS: Cloud Intrusion Detection System for Masquerade attacks [DCIDSM]
    P Jain Patik, BR Madhu
    IEEE 4th ICCCNT , 2013
    2013
    Citations: 2
  • A Modified Henon Map Based Image Encryption Framework
    S Agrawal, BR Madhu
    SN Computer Science 6 (6), 697 , 2025
    2025
    Citations: 1
  • Big Data Science and Its Applications in Biomedical Research and Healthcare: A Review
    N Raj, A Karki, BR Madhu, CR Manjunath
    International Journal of Engineering Research and Application 8 (5), 45-52 , 2018
    2018
    Citations: 1
  • A SURVEY FOR ENERGY EFFICIENCY IN CLOUD DATA CENTERS
    DR Paneru, BR Madhu, S Naik
    International Journal of Research-GRANTHAALAYAH 5, 63-68 , 2017
    2017
    Citations: 1
  • FusionNet-RS: A Deep Feature Fusion Model for Remote Sensing Image Classification on PatternNet
    S Aparanji, TA Nayana, S Nikitha
    2025 International Conference on Computing Technologies (ICOCT), 1-7 , 2025
    2025