R.NIRANJANA

@skcet.ac.in

ASSISTANT PROFESSOR/ ECE
SRI KRISHNA COLLEGE OF ENGINEERING AND TECHNOLOGY

R.NIRANJANA


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https://researchid.co/niranbmie

RESEARCH, TEACHING, or OTHER INTERESTS

Biomedical Engineering, Electrical and Electronic Engineering
30

Scopus Publications

241

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Attention-guided deep unfolding network for mammographic breast cancer detection
    R. Niranjana, A. Ravi, M. Vanithalakshmi
    Biomedical Signal Processing and Control, 2026
  • Performance analysis of novel hybrid\ deep learning model IEU Net++ for multiclass categorization of breast mammogram images
    R. Niranjana, A. Ravi, J. Sivadasan
    Biomedical Signal Processing and Control, 2025
  • Non-Invasive Monitoring of Patient Movements and Scratching Behavior Using Piezoelectric Sensors
    R. Niranjana, R. Sarathkumar, Gokul Rajan V, Harish Ragavendar SN, Sasikanth S
    2025 IEEE 1st International Conference on Innovations in Engineering and Next Generation Technologies for Sustainability Icinvents 2025, 2025
    Monitoring patient movement is crucial for the diagnosis of sleep disorders, neurological diseases, and allergic reactions. But scratching a primitive, fundamental physiologic response has been largely ignored in medical evaluation.” In this study, we wanted to show that piezoelectric sensors can be used to monitor movements such as scratching and moving position without attaching anything to the patient. The system is a passive sensing system consisting of piezo-ceramic devices placed underneath the legs of a bed to detect the mechanical stress caused by body movements and convert it into electrical signals. Controlled experiments were used to validate the proposed approach, thereby ensuring scratching could be distinguished from other motions. The results suggest that this method is a robust, privacy-sensitive, and low-cost alternative to conventional video-based monitoring, allowing for continual patient surveillance in real-world context.
  • Impact of Breast Density on Early Breast Cancer Detection and Classification: A Comprehensive Survey with Emphasis on Mammography
    A. Ravi, R. Niranjana, Aishvarya Ravichandran, R R Thirrunavukkarasu, N. Thiyagarajan
    2025 IEEE 1st International Conference on Innovations in Engineering and Next Generation Technologies for Sustainability Icinvents 2025, 2025
    Breast density is a well-established risk factor in breast cancer detection and classification, significantly impacting the diagnostic performance of mammographic screening. High-density breast tissue reduces mammographic sensitivity, increasing the likelihood of false negatives while simultaneously elevating the probability of false positives. These challenges necessitate the integration of adjunctive imaging modalities such as ultrasound, magnetic resonance imaging (MRI), and artificial intelligence (AI)-driven methodologies to enhance detection accuracy in dense breast cases. This survey provides a systematic review of the role of breast density in early cancer detection, with a primary emphasis on mammography-based approaches, while critically analyzing the efficacy of complementary imaging techniques. We examine state-of-the-art advancements in digital mammography, tomosynthesis, and deep learning-based enhancements, evaluating their comparative effectiveness in mitigating density-related limitations. Furthermore, this work identifies current research gaps, technological constraints, and emerging trends in breast density-aware screening strategies, offering insights into future developments in precision diagnostics. This study serves as a technical reference for radiologists, AI researchers, and clinical practitioners aiming to optimize breast cancer detection methodologies.
  • Edge-Based Security Measures for a Robust Internet of Things Ecosystem
    R. Niranjana, A. Ravi, Arvind S, Vignesh M, Vishaal S
    5th International Conference on Electronics and Sustainable Communication Systems Icesc 2024 Proceedings, 2024
    Amidst the fourth technological revolution, characterized by the expanding reach of the internet and its applications, smart devices gain increasing acceptance. A proposition is presented for remotely managing household appliances via the internet, supported by local data processing to make it more secure. Utilizing the ESP32 microcontroller and Raspberry Pi 5 microprocessor enables remote appliance control from any internet-enabled location. Leveraging a local server enhances security, while Flutter serves as the development framework for the IoT application. Additionally, the local Flutter app contributes to enhancing project security measures.
  • Raspberry Pi Integrated CNN Method to Find the Skin Lesions from Photo Images
    O Jeba Singh, D Lavanya, Sheila Mahapatra, R Rajesh Sharma, Akey Sungheetha, R Niranjana
    Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference Delcon 2024, 2024
    Nowadays skin cancer is a growing illness among the people all around the world and it is related to the skin organ. Especially, the symptoms of melanoma disease have to be diagnosed earlier and a successful treatment can reduce the number of patients. The traditional method of detection by the dermatologist will be ineffective and expensive. In the proposed work a convolutional neural network-based method is implemented to analyze the accuracy and robustness of the system. Furthermore, the optimized model deployed on Raspberry Pi based hardware prototype using open CV and camera in python. As the result the performance of the machine learning method is improved to detect the skin lesion with low resources and affordable cost.
  • Enhanced Skin Diseases Prediction using DenseNet-121: Leveraging Dataset Diversity for High Accuracy Classification
    R. Niranjana, T. Hemadarshana, S. Ilakkya, R.Santhana Krishnan, J.Jeniksha Epziba, T. Preetha
    Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing Icaaic 2024, 2024
    Skin disorders are a major worldwide health concern that require sophisticated diagnostic technologies for prompt and accurate identification. A deep learning approach that utilizes the DenseNet architecture for dermal image-based skin disease prediction is proposed. Creating and organizing a heterogeneous dataset covering a variety of skin conditions is part of the technique. Testing, verification, and training sets of the dataset are separated out to provide a thorough assessment of the model’s efficacy. Following its initial training on a large-scale dataset using pre-learned weights, the selected DenseNet model is refined using the skin disease dataset. Transferring expertise allows models to better identify relevant characteristics by utilizing information acquired from general photo recognition tasks. To adapt the architecture for the classification of skin diseases into many classes, custom layers are added. During the training phase, the model is optimized using suitable learning rates and loss functions. To reduce overfitting and improve the model’s generalization, hyperparameter adjustment is done. To assess the model’s performance, parameters like precision and loss are applied to the verification dataset. The model is evaluated on an alternative dataset to see if it can generalize to cases that haven’t been discovered yet once it has been successfully trained and validated. Throughout the process, patient privacy and data security are two of the most important ethical factors. The developed skin disease prediction model has the potential to be used in practical settings, facilitating prompt and precise diagnosis. Subsequent research endeavors could encompass ongoing enhancements to the model, cooperation with healthcare experts for clinical verification, and incorporation into user-friendly programs to ensure broad accessibility within healthcare environments.
  • Exploring Next-Generation Internet with Decentralized Web Architectures and Web Technologies
    W. Sarada, Pramod Kumar, G.Sunitha Rekha, B. Aishwarya, R.Niranjana, Balakrishna Gudla
    3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
    The advances in the architecture of the new web and propelled by Web3 innovations are the major playground where the Internet is moving at a pace faster than we could imagine. It is towards that direction that this research seeks to examine the effectiveness of decentralised systems with emphasis on how Blockchains, Smart Contracts and Peer to Peer systems can revolutionalise the internet by offering more security, transparency and user ownership. Web3 technologies pin the inconvenience of Web2 as being too centralized, lacking in privacy, and problematic in terms of data ownership; Web3 can champion decentralized applications [or dApps] and smart contracts. Taking the key blockchain camps including Ethereum, Solana, and Polkadot into consideration, the study measures their effectiveness, operation capability, and security features. Success and failure rates of the decentralized architecture concept in response to problems affecting different sectors such as finance, healthcare, and digital ownership are measured by simulations as well as the case studies. Particular emphasis is created on such issues as scalability, legal requirements, and user acceptance. Application blockchains are audited by means of blockchain analytics tools and smart contract testing frameworks to identify the strengths and weaknesses of DApps in order to improve them. This research also points towards the issues that require focusing on the improvement of governance models, UX interfaces, and security frameworks in the Web3 sphere. By assessing the existing decentralized platforms and perform performance study, the research identifies the drawbacks and challenges of the blockchain platform and suggests probable solutions to tackle them. Thus, the study results indicate that decentralized web architectures as such have a rather high potential in the future, although the issues of scalability and usability will become the main factors to define their success.
  • A Machine Learning Approach for Predicting Air Quality Index in Smart Cities
    S. Swamynathan, N. Sneha, S. P. Ramesh, R. Niranjana, D. David Neels Ponkumar, R. Saravanakumar
    Proceedings of 5th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2024, 2024
    One essential natural resource, the air quality index has been deteriorated by economic activities. Many studies have been conducted about the forecasting of periods of unsafe atmospheric conditions; however, the majority of these studies are limited in their capacity to include seasonal and other factors due to insufficient longitudinal data. India noise pollution has compiled a 6-year dataset that has been used to build several prediction models. There are encouraging outcomes when AQI levels are predicted using machine learning methodologies such as support vector machines (SVMs) artificial neural networks (ANNs), and Naive Bayes (NB). However, in several tests involving datasets from three different locations, NB, ANN, and SVM performed well to maximize prediction performance. When it comes to mean absolute error (MAE), R-squared (R2), and Root-mean-square deviation (RMSE), the combined performance of stacks is unsurpassed. In the related work section, summarize the limitations of existing models, such as inadequate data preprocessing, low spatialtemporal resolution, limited feature selection, or overfitting in complex models. Highlight gaps in scalability, real-time adaptability, and generalization across regions, emphasizing the need for robust, efficient models tailored to air quality prediction.
  • Quantum computing: Application-specific need of the hour: Digital transformation technology and tools: Shaping the future of primary healthcare
    R. Vedhapriyavadhana, G. Ignisha Rajathi, R. Niranjana, N. Pooranam
    Quantum Computing and Artificial Intelligence Training Machine and Deep Learning Algorithms on Quantum Computers, 2023
    In this tech-savvy era, as new technologies are developed every day by researchers and scientists, this also paves way to discover replacements to classical computers. One such advancement is the uncovering of quantum computing. They are brought up to light for the purpose of solving problems and scenarios solved by classical computers but in a more effective way and at least a span of time. The study of quantum computing focuses on finding new ways to compute by utilizing quantum physics phenomena. A qubit, in contrast to a typical computer bit, can be either 0 or 1, or it can be a superposition of both 0 and 1. Quantum theory serving as the base to operate supercomputers is based on two aspects of quantum physics: superposition and entanglement. This quantum computing plays extraordinary roles in different zones of applications such as weather forecasting, logistics, finance, healthcare, and cybersecurity. They are discussed with clarity in this chapter by throwing bright light on these important inevitable topics.
  • Quantum computing in automata theory
    G. Ignisha Rajathi, R. Vedhapriyavadhana, R. Niranjana, N. Pooranam, R. Johny Elton
    Quantum Computing and Artificial Intelligence Training Machine and Deep Learning Algorithms on Quantum Computers, 2023
  • Effectual Sun Tracking Solar Panel System
    R. Niranjana, Pradeepkumar V, Mugesh Kanna R, A. Ravi
    Proceedings of the International Conference on Circuit Power and Computing Technologies Iccpct 2023, 2023
  • An Intelligent Gas Monitoring System with Solenoid Valve and Weight Cell using MQTT
    R. Niranjana, T Hemadarshana, S Ilakkya, R Jaiveena, A. Ravi
    Proceedings of the 2nd International Conference on Edge Computing and Applications Icecaa 2023, 2023
  • Futuristic Banking: Streamlining ATM Transactions with Fingerprint and Contactless Authentication
    A. Essaki Muthu, A. Justin Diraviam, R. Niranjana, K. Saravanan, S. Sundararajan, R. Santhana Krishnan
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • Internet of Things and Artificial Intelligence Enabled Smart Wheel Chair
    K. Lakshmi Narayanan, R. Niranjana, S. Vinothini, R. Santhana Krishnan, G. Vinoth Rajkumar, L. Rachel
    6th International Conference on Inventive Computation Technologies Icict 2023 Proceedings, 2023
  • Connected Agriculture: Leveraging IoT to Revolutionize Farming Practices and Profitability
    J. Allwyn Kingsly Gladston, P. Kalyanakumar, K. Rajkumar, R. Santhana Krishnan, R. Niranjana, S. Sundararajan
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • EcoGuard: Uniting IoT and AI to Secure Forests and Combat Climate Change in Real-Time
    M. Ashok Kumar, C. Ashokkumar, R. Niranjana, K. Saravanan, S. Sundararajan, K. Lakshmi Narayanan
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • IoT Enabled Waste Management Optimization Framework (IWMOF)
    R. Thirupathieswaran, K. Palanivel Rajan, R. Niranjana, A. Essaki Muthu, R. Santhana Krishnan, K. Saravanan
    Proceedings 2023 3rd International Conference on Pervasive Computing and Social Networking Icpcsn 2023, 2023
  • Blood Cell Counting and Malaria Pathogen Detection using Convolutional Neural Network
    R. Niranjana, A. Ravi, A Meena, M S Khaashwini, T Kavya, R. Santhana Krishnan
    2023 4th International Conference on Electronics and Sustainable Communication Systems Icesc 2023 Proceedings, 2023
  • Building Resilience in Shopping: Secure Shopping System for Pandemics Like Covid-19
    S. Jeyapandi, A. Essaki Muthu, N. Vallileka, R. Niranjana, K. Saravanan, I. Sakthidevi
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • Effectual Home Automation using ESP32 NodeMCU
    R. Niranjana, Arvind S, Vignesh M, Vishaal S
    International Conference on Automation Computing and Renewable Systems Icacrs 2022 Proceedings, 2022
  • A Hygienic Municipal Waste Collection System using IoT
    P. Kalyanakumar, A. Valli, R. Santhana Krishnan, R. Niranjana, K. Lakshmi Narayanan, K. Janarthanan
    6th International Conference on Electronics Communication and Aerospace Technology Iceca 2022 Proceedings, 2022
  • Effectual Gesture Controlled Smart Wheelchair for the Incapacitated
    R. Niranjana, M. Ahmed Ibrahim, R. Ajay, V.B. Arunnachalam, R. Santhana Krishnan, K. Lakshmi Narayanan
    3rd International Conference on Smart Electronics and Communication Icosec 2022 Proceedings, 2022
  • A Smart System for Monitoring and Identifying Pollution Free Driving Route Identifier using Internet of Things
    K. Lakshmi Narayanan, R. Niranjana, R. Santhana Krishnan, M. Janaki, Janani R. P, Y. Harold Robinson
    International Conference on Sustainable Computing and Data Communication Systems Icscds 2022 Proceedings, 2022
  • Intelligent Itinerant Robot [IIR] for Agricultural Farm Monitoring using IoT
    R. Niranjana, R. Santhana Krishnan, K. Lakshmi Narayanan, X. Arogya Presskila, E. Golden Julie, S. Sundararajan
    Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy Icais 2022, 2022
  • Resourceful Retinal Vessel segmentation for Early Exposure of Vision Threatening Diseases
    R. Niranjana, K. Lakshmi Narayanan, E.Francy Irudaya Rani, A. Agalya, C. Chandraleka, K. Indhumathi
    2022 International Conference on Advanced Computing Technologies and Applications Icacta 2022, 2022
  • Internet of Things Based Smart Accident Recognition and Rescue System Using Deep Forests ML Algorithm
    K. Lakshmi Narayanan, Y. Harold Robinson, Rajkumar Krishnan, C. Ramasamy Sankar Ram, R. Santhana Krishnan, R. Niranjana, A. Essaki Muthu
    Intelligent Systems Reference Library, 2022
  • Students Bus Tracker (SBT) Enabled GPS Device for Regular Monitoring of Heavy Vehicles through Android Application
    Francy Irudaya Rani. E, Niranjana. R, Shah Mohammed Ilyas. S, Suresh. A, Udhaya prakash. S
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
  • Prolific Sensor Glove based Communication Device for the Disabled
    R. Niranjana, P.Ebby Darney, K. Lakshmi Narayanan, R. Santhana Krishnan, A.Vegi Fernando, Y. Harold Robinson
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
  • Novel Engineering of Smart Electronic Wheelchair with Physiotherapy Treatment Compatibility
    E. Francy Irudaya Rani, Niranjana R.
    Proceedings of the 3rd International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2019, 2019

RECENT SCHOLAR PUBLICATIONS

  • Attention-guided deep unfolding network for mammographic breast cancer detection
    R Niranjana, A Ravi, M Vanithalakshmi
    Biomedical Signal Processing and Control 120, 110063 , 2026
    2026
  • StepGen: Piezoelectric Power Generation for Smart Cities–A Sustainable Footstep-Based Energy Harvesting System
    R Niranjana, DN Tejaswini, S Tharanya
    2026 4th International Conference on Artificial Intelligence and Machine … , 2026
    2026
  • Non-Invasive Monitoring of Patient Movements and Scratching Behavior Using Piezoelectric Sensors
    R Niranjana, R Sarathkumar, HR SN
    2025 IEEE First International Conference on Innovations in Engineering and … , 2025
    2025
  • Impact of Breast Density on Early Breast Cancer Detection and Classification: A Comprehensive Survey with Emphasis on Mammography
    A Ravi, R Niranjana, A Ravichandran, RR Thirrunavukkarasu, ...
    2025 IEEE First International Conference on Innovations in Engineering and … , 2025
    2025
  • Performance analysis of novel hybrid\deep learning model IEU Net plus plus for multiclass categorization of breast mammogram images
    R Niranjana, A Ravi, J Sivadasan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL 105 , 2025
    2025
  • Performance analysis of novel hybrid\deep learning model IEU Net++ for multiclass categorization of breast mammogram images
    R Niranjana, A Ravi, J Sivadasan
    Biomedical Signal Processing and Control 105, 107607 , 2025
    2025
    Citations: 7
  • Edge-Based Security Measures for a Robust Internet of Things Ecosystem
    R Niranjana, A Ravi
    2024 5th International Conference on Electronics and Sustainable … , 2024
    2024
    Citations: 1
  • Enhanced skin diseases prediction using densenet-121: Leveraging dataset diversity for high accuracy classification
    R Niranjana, T Hemadarshana, S Ilakkya, RS Krishnan, JJ Epziba, ...
    2024 3rd International Conference on Applied Artificial Intelligence and … , 2024
    2024
    Citations: 8
  • Futuristic Banking: Streamlining ATM Transactions with Fingerprint and Contactless Authentication
    AE Muthu, AJ Diraviam, R Niranjana, K Saravanan, S Sundararajan, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 9
  • Connected Agriculture: Leveraging IoT to Revolutionize Farming Practices and Profitability
    JAK Gladston, P Kalyanakumar, K Rajkumar, RS Krishnan, R Niranjana, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 5
  • EcoGuard: Uniting IoT and AI to secure forests and combat climate change in real-time
    MA Kumar, C Ashokkumar, R Niranjana, K Saravanan, S Sundararajan, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 14
  • Building resilience in shopping: secure shopping system for pandemics like Covid-19
    S Jeyapandi, AE Muthu, N Vallileka, R Niranjana, K Saravanan, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 4
  • Quantum computing: application-specific need of the hour
    R Vedhapriyavadhana, GI Rajathi, R Niranjana, N Pooranam, P Raj, ...
    Quantum Computing and Artificial Intelligence: Training Machine and Deep … , 2023
    2023
    Citations: 4
  • Effectual Sun Tracking Solar Panel System
    R Niranjana, V Pradeepkumar, A Ravi
    2023 International Conference on Circuit Power and Computing Technologies … , 2023
    2023
  • An intelligent gas monitoring system with solenoid valve and weight cell using MQTT
    R Niranjana, T Hemadarshana, S Ilakkya, R Jaiveena, A Ravi
    2023 2nd International Conference on Edge Computing and Applications (ICECAA … , 2023
    2023
    Citations: 3
  • Blood cell counting and malaria pathogen detection using convolutional neural network
    R Niranjana, A Ravi, A Meena, MS Khaashwini, T Kavya, RS Krishnan
    2023 4th international conference on electronics and sustainable … , 2023
    2023
    Citations: 5
  • IoT Enabled Waste Management Optimization Framework (IWMOF)
    R Thirupathieswaran, KP Rajan, R Niranjana, AE Muthu, RS Krishnan, ...
    2023 3rd International Conference on Pervasive Computing and Social … , 2023
    2023
    Citations: 12
  • Internet of Things and artificial intelligence enabled smart wheel chair
    KL Narayanan, R Niranjana, S Vinothini, RS Krishnan, GV Rajkumar, ...
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 13
  • Quantum computing in automata theory
    GI Rajathi, R Vedhapriyavadhana, R Niranjana, N Pooranam, RJ Elton
    De Gruyter , 2023
    2023
    Citations: 3
  • Effectual home automation using ESP32 NodeMCU
    R Niranjana, S Arvind, M Vignesh, S Vishaal
    2022 International Conference on Automation, Computing and Renewable Systems … , 2022
    2022
    Citations: 21

MOST CITED SCHOLAR PUBLICATIONS

  • An autonomous IoT infrastructure for forest fire detection and alerting system
    R Niranjana, T HemaLatha
    International Journal of Pure and Applied Mathematics 119 (12), 16295-16302 , 2018
    2018
    Citations: 25
  • Effectual home automation using ESP32 NodeMCU
    R Niranjana, S Arvind, M Vignesh, S Vishaal
    2022 International Conference on Automation, Computing and Renewable Systems … , 2022
    2022
    Citations: 21
  • Internet of things based smart accident recognition and rescue system using deep forests ML algorithm
    K Lakshmi Narayanan, Y Harold Robinson, R Krishnan, ...
    Recent Advances in Internet of Things and Machine Learning: Real-World … , 2022
    2022
    Citations: 18
  • Prolific sensor glove based communication device for the disabled
    R Niranjana, PE Darney, KL Narayanan, RS Krishnan, AV Fernando, ...
    2021 5th international conference on trends in electronics and informatics … , 2021
    2021
    Citations: 15
  • EcoGuard: Uniting IoT and AI to secure forests and combat climate change in real-time
    MA Kumar, C Ashokkumar, R Niranjana, K Saravanan, S Sundararajan, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 14
  • Internet of Things and artificial intelligence enabled smart wheel chair
    KL Narayanan, R Niranjana, S Vinothini, RS Krishnan, GV Rajkumar, ...
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 13
  • Intelligent itinerant robot [IIR] for agricultural farm monitoring using IoT
    R Niranjana, RS Krishnan, KL Narayanan, XA Presskila, EG Julie, ...
    2022 Second International Conference on Artificial Intelligence and Smart … , 2022
    2022
    Citations: 13
  • IoT Enabled Waste Management Optimization Framework (IWMOF)
    R Thirupathieswaran, KP Rajan, R Niranjana, AE Muthu, RS Krishnan, ...
    2023 3rd International Conference on Pervasive Computing and Social … , 2023
    2023
    Citations: 12
  • Effectual gesture controlled smart wheelchair for the incapacitated
    R Niranjana, MA Ibrahim, R Ajay, VB Arunnachalam, RS Krishnan, ...
    2022 3rd International Conference on Smart Electronics and Communication … , 2022
    2022
    Citations: 12
  • A Hygienic Municipal Waste Collection System using IoT
    P Kalyanakumar, A Valli, RS Krishnan, R Niranjana, KL Narayanan, ...
    2022 6th International Conference on Electronics, Communication and … , 2022
    2022
    Citations: 10
  • Futuristic Banking: Streamlining ATM Transactions with Fingerprint and Contactless Authentication
    AE Muthu, AJ Diraviam, R Niranjana, K Saravanan, S Sundararajan, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 9
  • Novel engineering of smart electronic wheelchair with physiotherapy treatment compatibility
    EFI Rani, R Niranjana
    2019 Third International conference on I-SMAC (IoT in Social, Mobile … , 2019
    2019
    Citations: 9
  • Enhanced skin diseases prediction using densenet-121: Leveraging dataset diversity for high accuracy classification
    R Niranjana, T Hemadarshana, S Ilakkya, RS Krishnan, JJ Epziba, ...
    2024 3rd International Conference on Applied Artificial Intelligence and … , 2024
    2024
    Citations: 8
  • Performance analysis of novel hybrid\deep learning model IEU Net++ for multiclass categorization of breast mammogram images
    R Niranjana, A Ravi, J Sivadasan
    Biomedical Signal Processing and Control 105, 107607 , 2025
    2025
    Citations: 7
  • Resourceful retinal vessel segmentation for early exposure of vision threatening diseases
    R Niranjana, KL Narayanan, EFI Rani, A Agalya, C Chandraleka, ...
    2022 International Conference on Advanced Computing Technologies and … , 2022
    2022
    Citations: 7
  • Connected Agriculture: Leveraging IoT to Revolutionize Farming Practices and Profitability
    JAK Gladston, P Kalyanakumar, K Rajkumar, RS Krishnan, R Niranjana, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 5
  • Blood cell counting and malaria pathogen detection using convolutional neural network
    R Niranjana, A Ravi, A Meena, MS Khaashwini, T Kavya, RS Krishnan
    2023 4th international conference on electronics and sustainable … , 2023
    2023
    Citations: 5
  • A Smart System for Monitoring and Identifying Pollution Free Driving Route Identifier using Internet of Things
    KL Narayanan, R Niranjana, RS Krishnan, M Janaki, YH Robinson
    2022 International Conference on Sustainable Computing and Data … , 2022
    2022
    Citations: 5
  • JR P and YH Robinson,"
    KL Narayanan, R Niranjana, RS Krishnan, M Janaki
    A Smart System for Monitoring and Identifying Pollution Free Driving Route … , 2022
    2022
    Citations: 5
  • Brain tumor detection using ANN classifier
    E Rani, A Grace Priya, A Indiranatchiyar
    Brain Tumor Detection Using ANN Classifier (September 2, 2019). IJETIE 5 (9) , 2019
    2019
    Citations: 5