DR. LAKSHMINARAYANA. M

@sjbit.edu.in

Assistant Professor, Electronics and Communication Engineering
SJB Institute of Technology, Bangalore

DR. LAKSHMINARAYANA. M


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https://researchid.co/mln14

EDUCATION

B.E, M.Tech, Ph.D.

RESEARCH INTERESTS

Compressive Sensing, Medical Image Processing, Signal Processing, Audio and Video processing.
9

Scopus Publications

183

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • OFCS: Optimized Framework of Compressive Sensing for Medical Images in Bottleneck Network Condition
    Lakshminarayana M, Mrinal Sarvagya
    International Journal of Electrical and Computer Engineering, 2018
    Compressive sensing is one of teh cost effective solution towards performing compression of heavier form of signals. We reviewed the existing research contribution towards compressive sensing to find that existing system doesnt offer any form of optimization for which reason the signal are superiorly compressed but at the cost of enough resources. Therefore, we introduce a framework that optimizes the performance of the compressive sensing by introducing 4 sequential algorithms for performing Random Sampling, Lossless Compression for region-of-interest, Compressive Sensing using transform-based scheme, and optimization. The contribution of proposed paper is a good balance between computational efficiency and quality of reconstructed medical image when transmitted over network with low channel capacity. The study outcome shows that proposed system offers maximum signal quality and lower algorithm processing time in contrast to existing compression techniuqes on medical images.
  • OFCS: Optimized framework of compressive sensing for medical images in bottleneck network condition
    International Journal of Electrical and Computer Engineering, 2018
  • Miccs: A novel framework for medical image compression using compressive sensing
    Lakshminarayana M, Mrinal Sarvagya
    International Journal of Electrical and Computer Engineering, 2018
    The vision of some particular applications such as robot-guided remote surgery where the image of a patient body will need to be captured by the smart visual sensor and to be sent on a real-time basis through a network of high bandwidth but yet limited. The particular problem considered for the study is to develop a mechanism of a hybrid approach of compression where the Region-of-Interest (ROI) should be compressed with lossless compression techniques and Non-ROI should be compressed with Compressive Sensing (CS) techniques. So the challenge is gaining equal image quality for both ROI and Non-ROI while overcoming optimized dimension reduction by sparsity into Non-ROI. It is essential to retain acceptable visual quality to Non-ROI compressed region to obtain a better reconstructed image. This step could bridge the trade-off between image quality and traffic load. The study outcomes were compared with traditional hybrid compression methods to find that proposed method achieves better compression performance as compared to conventional hybrid compression techniques on the performances parameters e.g. PSNR, MSE, and Compression Ratio.
  • MICCS: A novel framework for medical image compression using compressive sensing
    International Journal of Electrical and Computer Engineering, 2018
  • HAMIC: A Novel Modelling of Hybrid Algorithm for Medical Image Compression
    11th Indiacom 4th International Conference on Computing for Sustainable Global Development Indiacom 2017, 2017
  • CARIC: A novel modeling of combinatorial approach for radiological image compression
    M. Lakshminarayana, Mrinal Sarvagya
    Advances in Intelligent Systems and Computing, 2017
    The contribution of several compression algorithms plays a significant role in minimizing the size of multiple radiological images from last decade. However, a closer look into existing work will show that there is a big trade-off between compression performance and data quality during the reconstruction process. We review the existing research work being carried out and briefs such problems and trade-off. This paper presents a framework called as CARIC (Combinatorial Approach for Radiological Image Compression) that uses a combinatorial approach of both lossy and lossless compression schemes unique in any radiological image. Using maximum numbers and modalities of different radiological images, we also compare CARIC with some recent and relevant work of compression to find that CARIC offers better image compression ratio along with a great balance among quality of the reconstructed image and faster response time.
  • Random sample measurement and reconstruction of medical image signal using Compressive Sensing
    M Lakshminarayana, Mrinal Sarvagya
    2015 International Conference on Computing and Network Communications Coconet 2015, 2016
    There is an enhancement of network and communication and other technologies, which leads to visualize various applications for common users. Medical systems are one of the very important aspects of the better Healthcare and services. In this regards, Extreme Telesurgery (ETS) is conceptualized that performs compression and transmission of the medical image on real time basis. The success of such remote surgery depends upon the optimal use of compression technique. Traditional compression techniques use various transformations schemes such as Discrete Cosine Transformation (DCT), Fast Fourier Transformation (FFT) and Discrete Wavelet Transformation (DWT), where the core objective is to get more and more zero values. So that encoding becomes more light weighted but these methods are sensitive to noises residing in the channel. Which makes it unsuitable for critical Region of Interest (ROI) compression to get higher visual perception, low Bits Per Pixel (BPP) and Error resilient. This paper illustrates a novel method of image signal measurement and reconstruction using Compressive Sensing (CS), which can be used for such real-time image compression requirements in specific applications.
  • Algorithm to balance compression and signal quality using novel compressive sensing in medical images
    M. Lakshminarayana, Mrinal Sarvagya
    Advances in Intelligent Systems and Computing, 2016
    Usage of compressive sensing plays a highly contributory role in compression, storage, and transmission in medical images even in presence of inherent complexities associated with radiological images. After reviewing the existing system, we found that existing techniques are less focused on medical images ignoring the complexities associated with it. Hence, this paper presents a very simple and novel transform-based technique where the performance of compressive sensing is enhanced using novel parameters of linear approximation, index ordering, along with number of low pass coefficient, and auxiliary measurement. The algorithm formulated by the proposed system is purely capable of minimizing L1-minimization. The outcome of the proposed system shows well balance between the compression ratio and signal quality in contrast to the existing technique of compressive sensing in medical images.
  • Lossless Compression of Medical Image to Overcome Network Congestion Constraints
    M. Lakshminarayana, Mrinal Sarvagya
    Emerging Research in Computing Information Communication and Applications Ercica 2015 Volume 1, 2015

RECENT SCHOLAR PUBLICATIONS

  • Virtual Path-Net: A Graph-Based Deep Learning Model for Multi-Organ Cancer Classification in Pathology Images
    M Lakshminarayana, Basavaraj V Hiremath, Murigendrayya M, Sridhar N
    S N Computer Science 7 (Artical No.312), 1-15 , 2026
    2026
  • Employing Reinforcement Learning in Autonomous Vehicle-To-Vehicle Communication Systems
    GJKC S. S. Parvez, Y. D. Bhise, M. Lakshminarayana, S. Latha
    2025 2nd International Conference on Intelligent Algorithms for … , 2025
    2025
  • Integrating Edge Computing with Swarm Intelligence for Efficient IoT Device Management
    CJ Sekhar. M, YD Bhise, M Lakshminarayana, A B, I Desai, B R
    2025 2nd International Conference on Intelligent Algorithms for … , 2025
    2025
  • A Comprehensive Review of Informed Machine Learning in Medical Decision Systems
    B Dhananjay, M Lakshminarayana, B Hiremath, NR Shenoy
    2025 5th International Conference on Emerging Research in Electronics … , 2025
    2025
  • Influence of Local Thermal Nonequilibrium and Thermal Gradients on Magneto‐Darcy‐Rayleigh‐Bénard Convective Stability With Heat Generation
    M Narayanappa, VK Balaji, M Lakshminarayana, S Ramakrishna
    Heat Transfer , 2025
    2025
  • Deep Reinforcement Learning-Enhanced Query Optimization Engine for Distributed and Federated Database Management Systems
    TD Tembhekar, T Mittal, M Lakshminarayana, NK Sripada, F Tlajiya, ...
    2025 3rd International Conference on Data Science and Information System … , 2025
    2025
    Citations: 1
  • Self Attention-based Sparse Graph Convolutional Neural Network for Instant Parameter Prediction to Optimize Wireless Sensor Network Performance in Electrical Systems
    A Anjum, TR Balasubramanian, M Lakshminarayana, D Vekariya, M BK, ...
    2025 5th International Conference on Trends in Material Science and … , 2025
    2025
  • Enhancing energy efficiency in wireless sensor networks using deep learning
    S Raskar, G Dhasmana, M Lakshminarayana, H Patil
    2025 International Conference on Multi-Agent Systems for Collaborative … , 2025
    2025
    Citations: 8
  • Machine learning-based techniques for computer-aided diagnosis
    M Lakshminarayana, B Dhananjay, BV Hiremath, CK Narayanappa, ...
    Elsevier - Advances in Computers, ISSN:0065-2458, 1-51 , 2024
    2024
  • Enhancement of three-dimensional medical images
    B Dhananjay, M Lakshminarayana, CK Narayanappa, BV Hiremath, ...
    Elsevier- Advances in Computers, ISSN:0065-2458, 1-81 , 2024
    2024
    Citations: 1
  • Development of a GUI for Automated Classification of Scientific Journal Articles using clustering
    N Sateesh, K Kaur, M Lakshminarayana, V Vekariya, H Patil, R Maranan
    IEEE 2024 5th International Conference on Innovative Trends in Information … , 2024
    2024
    Citations: 4
  • Energy‐efficient technique to improve the system using MIMO
    M Managuli, K Mahantesh, M Lakshminarayana, SC Managuli
    Digital Convergence in Antenna Designs: Applications for Real‐Time Solutions … , 2024
    2024
    Citations: 8
  • Energy-Efficient Technique to Improve the System Using MIMO
    M Lakshminarayana, M Managuli, K Mahantesh
    Wiley-Digital Convergence in Antenna Designs: Applications for Real‐Time … , 2024
    2024
  • Machine Learning Algorithms and Applications
    DBSP M. Lakshminarayana, Dr. Manjula Vasant Kiresur, Niraj Kumar Rai
    Scientific International Publication House (SIPH) , 2024
    2024
  • Detection of Diabetes Mellitus Using Iris Images and a Multi-Feature SVM Approach: A Pilot Study
    B Hiremath, M Lakshminarayana, B Dhananjay, CK Narayanappa
    ISSN: 1000-1239, Computer Research and Development 24 (7), 1-10 , 2024
    2024
  • IoT based Power and Water Theft Detection in Urban Cities
    PV Nandankar, GNR Prasad, M Lakshminarayana, G Satish, R Maranan
    IEEE - 2023 International Conference on Sustainable Communication Networks … , 2023
    2023
    Citations: 1
  • IoT Enabled Energy Optimization Through an Intelligent Home Automation
    NC Kiran, JV Rao, S Aurelia, MG Skanda, M Lakshminarayana
    Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree … , 2023
    2023
  • Garbage Management and Monitoring System Using IOT Applications
    A Kumaraswamy, CS Kolli, S Aurelia, PV Kumar, M Lakshminarayana
    Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree … , 2023
    2023
  • Construction and Evaluation of Deep Neural Network-based Predictive Controller for Drug Preparation
    NS K. Sheela Sobana Rani, M. Lakshminarayana, Dattathreya, Shubhi Jain
    Bentham science - AI and IoT- based Intelligent Health Care & Sanitation 15 … , 2023
    2023
  • AI and IoT-based Intelligent Management of Heart Rate Monitoring Systems
    VS Vedanarayanan Venugopal, M. Lakshminarayana, Sujata V. Mallapur, T.N.R. Kumar
    Bentham science - AI and IoT- based Intelligent Health Care & Sanitation 15 … , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Optimization of Solar Panel Deployment Using Machine Learning
    KGE Shoaib Kamal, M. Lakshminarayana, P. S. Ramapraba, Avinash Kumar, Bikash ...
    International Journal of Photoenergy 2022 (Article ID 7249109), 1-7 , 2022
    2022
    Citations: 36
  • IOT Automation with Segmentation Techniques for Detection of Plant Seedlings in Agriculture
    S Kamal, M Lakshminarayana, KR Shobha, F Francis, R Khilar, V Tripathi, ...
    Wireless Communications and Mobile Computing 2022 , 2022
    2022
    Citations: 26
  • Optimization on Tribological Behaviour of AA7178/Nano Titanium Diboride Hybrid Composites Employing Taguchi Techniques
    MKSPK M. Lakshminarayana, Priyanka Chattoraj, Parimala Prabhakar, Vishwanath ...
    Journal of Nanomaterials 2022 (Article ID 1619923), 1-8 , 2022
    2022
    Citations: 21
  • MICCS: A novel framework for medical image compression using compressive sensing
    M Lakshminarayana, M Sarvagya
    International Journal of Electrical and Computer Engineering (IJECE) 8 (5 … , 2018
    2018
    Citations: 17
  • Random sample measurement and reconstruction of medical image signal using compressive sensing
    M Lakshminarayana, M Sarvagya
    2015 international conference on computing and network communications … , 2015
    2015
    Citations: 12
  • OFCS: Optimized framework of compressive sensing for medical images in bottleneck network condition
    M Lakshminarayana, M Sarvagya
    International Journal of Electrical and Computer Engineering (IJECE) 8 (5 … , 2018
    2018
    Citations: 11
  • Massive MIMO Wireless Solutions in Backhaul for the 5G Networks
    A Biradar, NS Murthy, P M. Lakshminarayana, Awasthi, AK Srivastava, ...
    Wireless Communications and Mobile Computing 2022 , 2022
    2022
    Citations: 10
  • Enhancing energy efficiency in wireless sensor networks using deep learning
    S Raskar, G Dhasmana, M Lakshminarayana, H Patil
    2025 International Conference on Multi-Agent Systems for Collaborative … , 2025
    2025
    Citations: 8
  • Energy‐efficient technique to improve the system using MIMO
    M Managuli, K Mahantesh, M Lakshminarayana, SC Managuli
    Digital Convergence in Antenna Designs: Applications for Real‐Time Solutions … , 2024
    2024
    Citations: 8
  • Algorithm to balance compression and signal quality using novel compressive sensing in medical images
    M Lakshminarayana, M Sarvagya
    International Conference on Information and Communication Technology for … , 2016
    2016
    Citations: 7
  • Lossless compression of medical image to overcome network congestion constraints
    M Lakshminarayana, M Sarvagya
    Emerging Research in Computing, Information, Communication and Applications … , 2015
    2015
    Citations: 6
  • Scaling the effectiveness of existing compressive sensing in multimedia contents
    M Sarvagya
    International Journal of Computer Applications 115 (9), 16-26 , 2015
    2015
    Citations: 5
  • Development of a GUI for Automated Classification of Scientific Journal Articles using clustering
    N Sateesh, K Kaur, M Lakshminarayana, V Vekariya, H Patil, R Maranan
    IEEE 2024 5th International Conference on Innovative Trends in Information … , 2024
    2024
    Citations: 4
  • RM2IC: Performance Analysis of Region based Mixed-mode Medical Image Compression
    M Lakshminarayana, M Sarvagya
    International Journal of Image, Graphics and Signal Processing 9 (10), 12 , 2017
    2017
    Citations: 2
  • CARIC: A Novel Modeling of Combinatorial Approach for Radiological Image Compression
    M Lakshminarayana, M Sarvagya
    Computer Science On-line Conference, 82-91 , 2017
    2017
    Citations: 2
  • HAMIC: A Novel Modelling of Hybrid Algorithm for Medical Image Compression
    M Lakshminarayana, M Sarvagya
    IEEE-INDIACom-2017, Bharati Vidyapeeth, New Delhi , 2017
    2017
    Citations: 2
  • Deep Reinforcement Learning-Enhanced Query Optimization Engine for Distributed and Federated Database Management Systems
    TD Tembhekar, T Mittal, M Lakshminarayana, NK Sripada, F Tlajiya, ...
    2025 3rd International Conference on Data Science and Information System … , 2025
    2025
    Citations: 1
  • Enhancement of three-dimensional medical images
    B Dhananjay, M Lakshminarayana, CK Narayanappa, BV Hiremath, ...
    Elsevier- Advances in Computers, ISSN:0065-2458, 1-81 , 2024
    2024
    Citations: 1
  • IoT based Power and Water Theft Detection in Urban Cities
    PV Nandankar, GNR Prasad, M Lakshminarayana, G Satish, R Maranan
    IEEE - 2023 International Conference on Sustainable Communication Networks … , 2023
    2023
    Citations: 1
  • Performance analysis of Pneumonia using Convolutional Neural Networks
    DRSR Dr. Lakshminarayana. M, Ranjith M S, Dr.Aruna Devi K, Dr. G. Somasekhar ...
    NVEO – Natural Volatiles & Essential Oils 8 (5), 2161-2169 , 2021
    2021
    Citations: 1