Dr. Manjunath Managuli

@git.edu

Professor Electronics & Communication Engineering
KLS Gogte Institute of Technology Belagavi

Dr. Manjunath Managuli


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https://researchid.co/manjunathm

EDUCATION

B.E, M.Tech, Ph.D

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Sensory Systems
24

Scopus Publications

168

Scholar Citations

8

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Design and Implementation of Intelligent and Advanced Drier Assistance System
    Manjunath Managuli, Sangamesh C. Managuli, Uttam Deshpande, Ramesh B. Koti, Nikhil Inamdar, Swetha I. Goudar
    Lecture Notes in Networks and Systems, 2026
  • Precision cotton disease detection via transformer models applied to leaf imagery
    Nikhil Inamdar, Manjunath Managuli, Ramesh Koti, Jagadish Jakati, Sharanappa P. H., Prasan Kulkarni
    Frontiers in Artificial Intelligence, 2026
    There is great potential for improving agricultural research, ecological monitoring, and biodiversity conservation through computerized plant species cataloging utilizing leaf photos. This work introduces a deep learning-based framework that uses transformer-based architectures, such as the Vanilla Vision Transformer (ViT), Swin Transformer, DeiT (Data-Efficient Image Transformer), and T2T-ViT (Tokens-to-Tokens Vision Transformer), to automatically classify cotton leaf diseases. Images of cotton leaves from four different classes—curl virus, bacterial blight, fusarium wilt, and healthy leaves—make up the dataset. A stratified K-fold hold-out testing technique (K = 1 to 5) is used to maintain the class distribution across training and testing folds in order to guarantee robust model evaluation and address class imbalance. To improve generalization and guarantee compatibility with transformer models, standard image augmentation and normalizing approaches are used. All models begin training using vast collections of images, afterward honed specifically on cotton leaf data to sharpen their ability to tell differences apart. Results spread across multiple test rounds stay steady, one standout reaching nearly perfect accuracy—99.99 percent. This pattern highlights how transformer-driven systems thrive alongside stratified K-fold checks, crafting a dependable way to spot crop issues early, shifting farm oversight toward quicker, smarter responses.
  • Enhancing Radio Resource Allocation: A Web Usage Pattern-Based Deep Learning-Powered Intelligent System for WSN
    Manjunath Managuli, Nivedita Gudigenavar, Ramesh Koti, Nikhil Inamdar, Swetha Goudar, Supriya Shnbhag
    Lecture Notes in Networks and Systems, 2026
  • Multimodal sentiment analysis using image and text fusion for emotion detection
    Uttam U. Deshpande, Supriya Shanbhag, Amit Sukhasare, Mahendra M. Dixit, Rudragoud Patil, Sangeeta Sangani, Sowmyashree H. Srinivasaiah, Swetha Goudar, Manjunath Managuli
    Discover Computing, 2025
    Social media has become an essential platform for expressing personal experiences and emotions. Today’s youth frequently share images that reflect their emotional states, including happiness, excitement, sadness, anxiety, and distress. Accurately analyzing these images using new frameworks can offer beneficial insights into the emotional well-being of individuals. Beyond mental health applications, image sentiment analysis has significant potential in marketing and advertising. Brands and Marketers can get a more comprehensive understanding of consumer sentiments and preferences by examining the emotional reactions elicited by visual content. For instance, companies can analyze images shared by customers to gauge sentiment towards their products and services. Positive or negative feedback expressed through images can offer practical insights for improving products and customer experience. Additionally, Sentiment analysis is one tool that marketers can use to gauge the effectiveness of their advertising campaigns. By analyzing the sentiments of images associated with a campaign, they can determine which aspects resonate most with the audience and adjust their strategies accordingly. Our research focuses on creating an advanced multimodal sentiment analysis system that combines BERT and Vision Transformers (ViT) to analyze textual and image data. High-precision sentiment classification is achieved by our technique using a preprocessed AllenTAN dataset from Hugging Face. It conducts sentiment analysis using BERT, creates captions for unlabeled photos, and uses OCR to retrieve embedded image text. The suggested ViT + BERT technique performs well with a variety of social network content. The proposed system achieves an accuracy of 96.91%, demonstrating its robust performance across diverse social media content and benchmark models. This technology has several uses, particularly in social media monitoring to promote mental health content, as teens frequently use visuals to describe their feelings.
  • Spectrally efficient DWDM system using DQPSK modulation
    Deepthi Prakash, Manjunath Managuli
    Journal of Optical Communications, 2025
    DWDM technology is gaining popularity in fiber-optic communication due to high-speed transmission channel capacity demands. The adoption of this system has been driven by this demand. Researchers focus on optimizing data transmission parameters within channel characteristics for maximum performance. The signal’s form typically influences the optical channel capacity, the guiding medium’s dispersive and non-linear characteristics, and interference from multiple sources. This study investigates how efficient modulated systems control linear and non-linear impairments in optical channel capacity due to high data rates transmitted over optical communication networks, aiming to circumvent current issues. The selection of pulse shape and modulation format is crucial for an effective DWDM optical communication system due to the rigorous specifications of the optical channel. Modulation formats like intensity and phase have become viable network design technologies, allowing for network creation that operates to the designer’s satisfaction. This academic study examines the theoretical properties of various models used to analyze and recreate high-speed optical communication links, aiming to understand the impact of system components and modulation techniques.
  • Recoverable Data Hiding in Encrypted Images Through Extent Reversing Before Inscription
    Manjunath Managuli, Sangamesh C. Managuli, Sagar Pujar, Swetha Goudar, Supriya Shanbhag, Uttam Deshpande
    Journal of the Institution of Engineers India Series B, 2025
  • Survey and Design of Optimized Network-On-Chip Router
    Sowmya B J, Manjunath Managuli
    2025 2nd Asia Pacific Conference on Innovation in Technology Apcit 2025, 2025
    A system on a chip is an intricate network of interconnected functional components. Since its architecture is bus-based, there is problem in proper communication necessitating the development of a system exhibiting parallelism and high scalability. Network on a chip (NoC) offered many of these features and addressed the communication bottleneck issue. It essentially operates on the principle of core interconnection via on-chip networks. Bus-based communication System on chip (SoC) problems are resolved by network on chip (NoC) technology. Network on a chip offers high speed and reliable data while maintain power requirements. The routers that make up a NoC network route data packets. Hence, this is the essential component that must be appropriately constructed to execute an effective NoC architecture. The primary limitations of classic NoC router architecture include complexity of circuits, significant crucial delay in path, utilization of resources, high speed execution and energy efficiency. It has been difficult to develop a NoC with low area overhead, high performance, and low latency. In order to understand and work toward a NoC router design that demonstrates better performance, exhibit power savings and minimized latency and can be utilized with families of FPGA, this work analyzes basics of design of NoC router, its component parts and study of previous work and their advantages and disadvantages for NoC router topologies. The work towards the design of enhanced Network on chip router with maximum benefits is attempted.
  • Optimized Feature-Set In Classification of Plant Leaves Images Using Machine Learning Models
    Nikhil Inamdar, Manjunath Managuli
    International Journal of Computing and Digital Systems, 2025
  • Design and performance evaluation of DWDM networks using reconfiguration and modulation methods
    Deepthi Prakash, Manjunath Managuli, Pavan Kunchur, Gururaj Kulkarni
    Journal of Optical Communications, 2025
    In optical fibers, erbium-doped fiber amplifiers (EDFA) can amplify signals at different wavelengths, thus improving network connectivity, bandwidth requirements, and reduced transmission capacity. As the communication expanse and numeral of stations upturn, fiber nonlinearity and dispersion effects limit the efficiency of (DWDM) dense wavelength division multiplexing systems. This paper supports learning-based dense wavelength division multiplexing network reconfiguration (RLR), modulation-ultra-dense wavelength division multiplexing (UDWDM) differential quadrature phase shift keying (QPSK) to improve transmission, which has no positive effect in most cases. Configure redundancy at limited alteration and worldwide system level for better presentation. With new modifications (such as wavelength selection, modulation transformation, path planning, bandwidth transformation, etc.) according to previous studies, this work provides a comprehensive combination to support strategy selection. MatLab and OptiSystem simulator work together to simulate solutions.
  • Automated Brain Tumor Detection and Segmentation using Rob flow annotation & YOLOv11 Model
    Nivedita Gudigenavar, Manjunath Managuli, Nikhil Inamdar, Ramesh Koti, Jagadish S Jakati, Sharanappa P H
    2025 1st International Conference on Advancement in Futuristic Technologies Icaft 2025, 2025
    A brain tumor, which can be either benign or malignant, is an abnormal development of brain cells. For better treatment outcomes and increased survival rates, early identification is essential. Traditional analytical techniques such as CT and MRI provide valuable structural and locational information but rely heavily on manual interpretation. Biopsy remains a gold standard but is invasive and time-consuming. In this work, we employ Artificial Intelligence (AI) to enhance brain tumor detection using MRI scans. The dataset was annotated and preprocessed using Rob flow, incorporating data augmentation to improve model generalization. A YOLO-based deep learning framework was trained in Google Colab with GPU support, enabling efficient and instantaneous discovery of tumor regions. The proposed structure integrates Rob flow’s dataset management with YOLO’s high-speed object detection, adapted for tumor segmentation. Performance evaluation was carried out expending metrics such as mean Average Precision (mAP), Correctness, F1-score, Recall, and confusion matrix. Investigational results demonstrate the capability of the approach to support radiologists in early diagnosis, offering a reliable, automated, and non-invasive solution for brain tumor detection.
  • An Optimization Approach to DWDM Network Reconfiguration through Reinforcement Learning
    Deepthi Prakash, Manjunath Managuli
    SN Computer Science, 2024
  • Buffer Association of Network on Chip (NoC) Using Simulated Network
    Manjunath Managuli, Kanmani Pappa Chandramohan, Maheswari Marimuthu, Kumutha Duraisamy, Surendran Rajendran
    Ingenierie Des Systemes D Information, 2024
  • Artificial neural network-based intelligent sensor-based electronic nose for food applications
    Manjunath Managuli, Kalimuthu Bagyalakshmi, Francis Rosy Shiny Malar, Jebaraj Jency Rubia, Samat Iderus
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
  • Energy-Efficient Technique to Improve the System Using MIMO
    Manjunath Managuli, K. Mahantesh, M. Lakshminarayana, Sangamesh C. Managuli
    Digital Convergence in Antenna Designs Applications for Real Time Solutions, 2024
  • Detection and Estimation of Yoga Pose using Artificial Intelligence
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Developing and Implementing An Effective Big Data Classification System
    Manjunath Managuli, Sagar Pujar, Sangamesh C Managuli, Krishnamurthy K. T, Rajesh Nandalike, Pavan Kunchur
    2nd International Conference on Integrated Circuits and Communication Systems Icicacs 2024, 2024
  • Customer Spending Prediction on E-Commerce Website
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • IoT Based Poultry Farm Smart Management System
    K T Krishnamurthy, Manjunath Managuli, Sushma Malipatil, K. Bagyalakshmi, Sudha V Salake, Pankaja S Kadalagi, Sheetal B Patil
    2024 International Conference on Knowledge Engineering and Communication Systems Ickecs 2024, 2024
  • Research and Innovation in Next Generation Security and Privacy in Industry 5.0 Iot
    Geeta S. Navale, Ravikiran Madala, Manjunath Managuli, N. Jayalakshmi, G. Kadiravan, Ruchira Rawat
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023
  • Development of Overflow Prediction and Wall Supervision System for Flood Forecasting
    K T Krishnamurthy, Manjunath Managuli, Rohith S, K R Niranjan, D Kumar, Suhma B Malipatil
    International Interdisciplinary Humanitarian Conference for Sustainability Iihc 2022 Proceedings, 2022
  • Detection & classification of electronic nose system
    V J Pandurangi, Manjunath Managuli, Sudha Salakhe, Sadhana Bangarshetti, Pavan N. Kunchur
    Proceedings 5th International Conference on Intelligent Computing and Control Systems Iciccs 2021, 2021
  • A role of e-nose system information gathering with smart phone
    Manjunath Managuli, Abhay Deshpande
    Materials Today Proceedings, 2020
  • Description and identification of soil quality measuring development using uav's and e-nose system
    Manjunath Managuli*, , Abhay Deshpande, and
    International Journal of Recent Technology and Engineering, 2019
  • Emergent vehicle tracking system using IR sensor
    Manjunath Managuli, Abhaya Deshpande, Sudha H Ayatti
    International Conference on Electrical Electronics Communication Computer Technologies and Optimization Techniques Iceeccot 2017, 2017

RECENT SCHOLAR PUBLICATIONS

  • Survey and Design of Optimized Network-On-Chip Router
    BJ Sowmya, M Managuli
    2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT), 1-7 , 2026
    2026
  • Design and Implementation of Intelligent and Advanced Drier Assistance System
    M Managuli, SC Managuli, U Deshpande, RB Koti, N Inamdar, SI Goudar
    International Conference on Computing and Communication Systems for … , 2026
    2026
  • Enhancing Radio Resource Allocation: A Web Usage Pattern-Based Deep Learning-Powered Intelligent System for WSN
    M Managuli, N Gudigenavar, R Koti, N Inamdar, S Goudar, S Shnbhag
    International Conference on Computing and Communication Systems for … , 2026
    2026
  • Precision Cotton Disease Detection via Transformer Models Applied to Leaf Imagery
    N Inamdar, M Managuli, R Koti, J Jakati, S P H, P Kulkarani
    Frontiers in Artificial Intelligence 8, 1743264 , 2026
    2026
  • Automated Brain Tumor Detection and Segmentation using Rob flow annotation & YOLOv11 Model
    N Gudigenavar, M Managuli, N Inamdar, R Koti, JS Jakati, S PH
    2025 1st International Conference on Advancement in Futuristic Technologies … , 2025
    2025
  • Multimodal sentiment analysis using image and text fusion for emotion detection
    UU Deshpande, S Shanbhag, A Sukhasare, MM Dixit, R Patil, S Sangani, ...
    Discover Computing 28 (1), 1-24 , 2025
    2025
    Citations: 4
  • Spectrally efficient DWDM system using DQPSK modulation
    D Prakash, M Managuli
    Journal of Optical Communications 46 (4), 909-922 , 2025
    2025
    Citations: 9
  • Deep feature representation for automated plant species classification from leaf images.
    N Inamdar, M Managuli, U Patil
    International Journal of Electrical & Computer Engineering (2088-8708) 15 (4) , 2025
    2025
  • ARTIFICIAL INTELLIGENCE FOR EARLY DETECTION OF RENAL TUMOR: A REVIEW
    S Pujar, P Kunchur, M Managuli, S Naik, A Pauskar, S Goudar, ...
    Available at SSRN 5231332 , 2025
    2025
    Citations: 2
  • Design and performance evaluation of DWDM networks using reconfiguration and modulation methods
    D Prakash, M Managuli, P Kunchur, G Kulkarni
    Journal of Optical Communications , 2025
    2025
    Citations: 1
  • Recoverable data hiding in encrypted images through extent reversing before inscription
    M Managuli, SC Managuli, S Pujar, S Goudar, S Shanbhag, ...
    Journal of The Institution of Engineers (India): Series B 106 (1), 351-362 , 2025
    2025
    Citations: 7
  • An optimization approach to DWDM network reconfiguration through reinforcement learning
    D Prakash, M Managuli
    SN Computer Science 5 (8), 1069 , 2024
    2024
    Citations: 6
  • Buffer association of network on chip (NoC) using simulated network
    M Managuli, KP Chandramohan, M Marimuthu, K Duraisamy, ...
    Ingénierie des Systèmes d'Information 29 (5), 1797 , 2024
    2024
    Citations: 7
  • Customer Spending Prediction on E-Commerce Website.
    SV Salake, P Patil, P Kunchur, S Bangarashetti, M Managuli, SB Patil
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • Health Monitoring System in Emergency Using IoT
    RK Chetana Chavan, Manjunath Managuli
    Journal of Artificial Intelligence and Systems 6 (1), 179-187 , 2024
    2024
    Citations: 7
  • Optimized featureset in classification of plant leaves images using machine learning models
    N J Inamdar, M Managuli
    International Journal of Computing and Digital Systems 16 (1), 189-201 , 2024
    2024
  • Optimized featureset in classification of plant leaves images using machine learning models
    N Inamdar, M Managuli
    University of Bahrain , 2024
    2024
    Citations: 2
  • 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
  • Developing and Implementing An Effective Big Data Classification System
    M Managuli, S Pujar, SC Managuli, R Nandalike, P Kunchur
    2024 International Conference on Integrated Circuits and Communication … , 2024
    2024
    Citations: 3
  • Detection and Estimation of Yoga Pose using Artificial Intelligence.
    R Battur, P Kunchur, S Bangarashetti, M Managuli, GL Kulkarni
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Research and Innovation In Next Generation Security and Privacy In Industry 5.0 IoT
    GS Navale, R Madala, M Managuli, N Jayalakshmi, G Kadiravan, ...
    IEEE 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 20
  • Description and Identification of Soil Quality Measuring Development using UAV's and E-Nose System
    AD Manjunath Managuli
    International Journal of Recent Technology and Engineering (IJRTE) 8 (Issue … , 2019
    2019
    Citations: 16
  • Emergent Vehicle Tracking System using IR sensor
    M Managuli, A Deshpande, SH Ayatti
    2017 International Conference on Electrical, Electronics, Communication … , 2017
    2017
    Citations: 13
  • Detection & classification of electronic nose system
    VJ Pandurangi, M Managuli, S Salakhe, S Bangarshetti, PN Kunchur
    2021 5th International Conference on Intelligent Computing and Control … , 2021
    2021
    Citations: 12
  • A Role of E-nose system Information Gathering with Smart Phone
    M Managuli, A Deshpande
    Materials Today: Proceedings 43, 3404-3408 , 2021
    2021
    Citations: 11
  • Spectrally efficient DWDM system using DQPSK modulation
    D Prakash, M Managuli
    Journal of Optical Communications 46 (4), 909-922 , 2025
    2025
    Citations: 9
  • 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
  • IoT Based Poultry Farm Smart Management System
    KT Krishnamurthy, M Managuli, S Malipatil, K Bagyalakshmi, SV Salake, ...
    2024 International Conference on Knowledge Engineering and Communication … , 2024
    2024
    Citations: 8
  • Recoverable data hiding in encrypted images through extent reversing before inscription
    M Managuli, SC Managuli, S Pujar, S Goudar, S Shanbhag, ...
    Journal of The Institution of Engineers (India): Series B 106 (1), 351-362 , 2025
    2025
    Citations: 7
  • Buffer association of network on chip (NoC) using simulated network
    M Managuli, KP Chandramohan, M Marimuthu, K Duraisamy, ...
    Ingénierie des Systèmes d'Information 29 (5), 1797 , 2024
    2024
    Citations: 7
  • Health Monitoring System in Emergency Using IoT
    RK Chetana Chavan, Manjunath Managuli
    Journal of Artificial Intelligence and Systems 6 (1), 179-187 , 2024
    2024
    Citations: 7
  • Artificial neural network - based intelligent sensor - based electronic nose for food applications
    SI Manjunath Managuli, Kalimuthu Bagyalakshmi, Francis Rosy Shiny Malar ...
    Indonesian Journal of Electrical Engineering and Computer Science 36 (1 … , 2024
    2024
    Citations: 7
  • Development of overflow prediction and wall supervision system for flood forecasting
    KT Krishnamurthy, M Managuli, KR Niranjan, D Kumar, SB Malipatil
    2022 International Interdisciplinary Humanitarian Conference for … , 2022
    2022
    Citations: 7
  • An optimization approach to DWDM network reconfiguration through reinforcement learning
    D Prakash, M Managuli
    SN Computer Science 5 (8), 1069 , 2024
    2024
    Citations: 6
  • A Development of Sensor Based Electronic Nose for Food Application
    M Managuli, A Deshpande, SH Salake, P Kanchur
    SPAST Abstracts 1 (01) , 2021
    2021
    Citations: 5
  • Multimodal sentiment analysis using image and text fusion for emotion detection
    UU Deshpande, S Shanbhag, A Sukhasare, MM Dixit, R Patil, S Sangani, ...
    Discover Computing 28 (1), 1-24 , 2025
    2025
    Citations: 4
  • Developing and Implementing An Effective Big Data Classification System
    M Managuli, S Pujar, SC Managuli, R Nandalike, P Kunchur
    2024 International Conference on Integrated Circuits and Communication … , 2024
    2024
    Citations: 3
  • Robotized Food Quality Technique utilizing Electronic nose System
    M Managuli, A Deshpande
    Test Engineering and Management 82 (13), 11852-11856 , 2020
    2020
    Citations: 3
  • Execution of Electronic nose framework by utilizing quad capturer
    M Managuli, A Deshpande
    International Journal of Advanced Science and Technology 29 (9s), 6823-6832 , 2020
    2020
    Citations: 3
  • New Vehicle Tracking framework utilizing IR sensor
    M Managuli, A Deshpande, HA Sudha
    IEEE International Conference on ICEECCOT, at GSSIT Mysore, 978-5386 , 2017
    2017
    Citations: 3