SUGANYA DEVI K

@nits.ac.in

ASSISTANT PROFESSOR GRADE I
NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR

SUGANYA DEVI K


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https://researchid.co/suganya

RESEARCH INTERESTS

IMAGE AND VIDEO PROCESSING
MEDICAL IMAGE PROCESSING
DATA SCIENCE
MACHINE LEARNING
76

Scopus Publications

1218

Scholar Citations

18

Scholar h-index

37

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Real-Time Surveillance System to Monitor Vehicles and Pedestrians for Road Traffic Management
    SK Satti, K Suganya Devi, NB Muppalaneni, P Maddula
    AI-Driven Transportation Systems: Real-Time Applications and Related … , 2025
    2025
  • Crayfish optimization-based secure encryption of medical images with 7D hyperchaotic maps
    PF David, SD Kothandapani, GK Pugalendhi
    International Journal of Machine Learning and Cybernetics 16 (10), 7369-7389 , 2025
    2025
    Citations: 3
  • Adaptive Compression and Reconstruction for Multidimensional Medical Image Data: A Hybrid Algorithm for Enhanced Image Quality
    PF David, SD Kothandapani, GK Pugalendhi
    Journal of Imaging Informatics in Medicine 38 (5), 3148-3167 , 2025
    2025
    Citations: 4
  • Real-Time Surveillance System
    SK Satti, KS Devi, NB Muppalaneni
    AI-Driven Transportation Systems: Real-Time Applications and Related … , 2025
    2025
  • Unfolding the diagnostic pipeline of diabetic retinopathy with artificial intelligence: A systematic review
    KS Devi, HK Vasireddi, GNVR Reddy, SK Satti
    Survey of Ophthalmology , 2025
    2025
    Citations: 4
  • An explainable deep learning-based panoptic segmentation for brain tumor diagnosis
    B Shaheema, NB Muppalaneni, KS Devi
    Neural Computing and Applications 37 (25), 20639-20662 , 2025
    2025
    Citations: 3
  • Intuitionistic Neuro-Fuzzy Systems for Semantic Image Segmentation
    D Devik, S Vijaykanth
    2025 International Conference on Intelligent Computing and Knowledge … , 2025
    2025
  • Selection of best location for household waste recycling plants using novel information measures and algorithm in fermatean fuzzy environment
    M Pathak, M Sen
    Expert Systems with Applications 274, 126897 , 2025
    2025
    Citations: 7
  • Morphological abnormalities classification of red blood cells using fusion method on imbalance datasets
    P Dhar, K Suganya Devi, R Bhattacharjee, P Srinivasan
    Microscopy Research and Technique 88 (5), 1566-1581 , 2025
    2025
    Citations: 3
  • An explainable liquid neural network combined with path aggregation residual network for an accurate brain tumor diagnosis
    SB Shaheema, NB Muppalaneni
    Computers and Electrical Engineering 122, 109999 , 2025
    2025
    Citations: 10
  • Detection and Identification of Hazardous Hidden Objects in Images: A Comprehensive Review
    S Swain, K Suganya Devi
    Archives of Computational Methods in Engineering 32 (2), 1135-1183 , 2025
    2025
    Citations: 4
  • Efficient detection and partitioning of overlapped red blood cells using image processing approach
    P Dhar, K Suganya Devi, SK Satti, P Srinivasan
    Innovations in Systems and Software Engineering 21 (1), 79-91 , 2025
    2025
    Citations: 15
  • Classification of Epileptic Seizures Disorder Using CWT and Deep Learning Algorithm from Electroencephalograms
    S Alagesan, R Murugan
    2025 17th International Conference on Knowledge and Smart Technology (KST … , 2025
    2025
  • Selection of best location for household waste recycling plants using novel information measures and algorithm in fermatean fuzzy environment
    SDK Mrinmay Pathak, Mausumi Sen
    Expert Systems with Applications 274 (126897), 1-19 , 2025
    2025
  • Learning Technique
    P Dhar, MK Singh, T Ahmed, DK Suganya
    Emerging Electronics and Automation: Select Proceedings of the 3rd … , 2025
    2025
  • Efficient object detection on low-resource devices using lightweight mobilenet-ssd
    K Sekar, T Dheepa, R Sheethal, RS Suvarna Smita, VD Teja
    2025 International conference on intelligent systems and computational … , 2025
    2025
    Citations: 10
  • Assessing radiographic findings on finger x-rays using an enhanced deep learning approach
    R Kumar, SD K, DP Mohapatra
    International Journal of Information Technology 16 (7), 4279-4288 , 2024
    2024
    Citations: 6
  • DR-XAI: explainable deep learning model for accurate diabetic retinopathy severity assessment
    HK Vasireddi, KS Devi, GNVR Reddy
    Arabian Journal for Science and Engineering 49 (9), 12899-12917 , 2024
    2024
    Citations: 22
  • Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50
    SB Shaheema, NB Muppalaneni
    Biomedical Signal Processing and Control 94, 106334 , 2024
    2024
    Citations: 28
  • An enumerative pre-processing approach for retinopathy severity grading using an interpretable classifier: a comparative study
    HK Vasireddi, SD K, GNVR Reddy
    Graefe's Archive for Clinical and Experimental Ophthalmology 262 (7), 2247-2267 , 2024
    2024
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Detection and classification of groundnut leaf diseases using KNN classifier
    MP Vaishnnave, KS Devi, P Srinivasan, GAP Jothi
    2019 IEEE International Conference on System, Computation, Automation and … , 2019
    2019
    Citations: 136
  • A study on various methods used for video summarization and moving object detection for video surveillance applications
    A Senthil Murugan, K Suganya Devi, A Sivaranjani, P Srinivasan
    Multimedia Tools and Applications 77 (18), 23273-23290 , 2018
    2018
    Citations: 84
  • Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases
    NVRR Goluguri, KS Devi, P Srinivasan
    Neural Computing and Applications 33 (11), 5869-5884 , 2021
    2021
    Citations: 65
  • H2K–A robust and optimum approach for detection and classification of groundnut leaf diseases
    KS Devi, P Srinivasan, S Bandhopadhyay
    Computers and Electronics in Agriculture 178, 105749 , 2020
    2020
    Citations: 54
  • Automatic method for classification of groundnut diseases using deep convolutional neural network: MP Vaishnnave et al.
    MP Vaishnnave, K Suganya Devi, P Ganeshkumar
    Soft Computing 24 (21), 16347-16360 , 2020
    2020
    Citations: 53
  • Unified approach for detecting traffic signs and potholes on Indian roads
    SK Satti, P Maddula, NVV Ravipati
    Journal of King Saud University-Computer and Information Sciences 34 (10 … , 2022
    2022
    Citations: 52
  • A machine learning approach for detecting and tracking road boundary lanes
    SK Satti, KS Devi, P Dhar, P Srinivasan
    ICT Express 7 (1), 99-103 , 2021
    2021
    Citations: 37
  • Deep feed forward neural network–based screening system for diabetic retinopathy severity classification using the lion optimization algorithm
    HK Vasireddi, SD K, RR GNV
    Graefe's Archive for Clinical and Experimental Ophthalmology 260 (4), 1245-1263 , 2022
    2022
    Citations: 34
  • Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey
    NVRR Goluguri, K Suganya Devi, N Vadaparthi
    Artificial Intelligence Review 54 (1), 359-396 , 2021
    2021
    Citations: 32
  • Compressed tensor completion: A robust technique for fast and efficient data reconstruction in wireless sensor networks
    K Sekar, KS Devi, P Srinivasan
    IEEE Sensors Journal 22 (11), 10794-10807 , 2022
    2022
    Citations: 31
  • Health informatics: a computational perspective in healthcare
    R Patgiri, A Biswas, P Roy
    Springer , 2021
    2021
    Citations: 31
  • Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50
    SB Shaheema, NB Muppalaneni
    Biomedical Signal Processing and Control 94, 106334 , 2024
    2024
    Citations: 28
  • Object motion detection in video frames using background frame matching
    K SuganyaDevi, N Malmurugan, M Manikandan
    Int J Comput Trends Technol 4 (6), 1928-1931 , 2013
    2013
    Citations: 27
  • Energy efficient data gathering using spatio-temporal compressive sensing for WSNs
    K Sekar, K Suganya Devi, P Srinivasan
    Wireless Personal Communications 117 (2), 1279-1295 , 2021
    2021
    Citations: 26
  • A survey on cloud computing and hybrid cloud
    MP Vaishnnave
    2019
    Citations: 24
  • DR-XAI: explainable deep learning model for accurate diabetic retinopathy severity assessment
    HK Vasireddi, KS Devi, GNVR Reddy
    Arabian Journal for Science and Engineering 49 (9), 12899-12917 , 2024
    2024
    Citations: 22
  • Efficient Foreground Extraction Based on Optical Flow and SMED for Road traffic analysis
    SR Suganya Devi. K., N.Malmurugan
    International Journal of Cyber-security and Digital Forensics 1 (3), 177-182 , 2012
    2012
    Citations: 22
  • A study on deep learning models for satellite imagery
    MP Vaishnnave, KS Devi, P Srinivasan
    International Journal of Applied Engineering Research 14 (4), 881-887 , 2019
    2019
    Citations: 21
  • Machine Learning, Image Processing, Network Security and Data Sciences: Second International Conference, MIND 2020, Silchar, India, July 30-31, 2020, Proceedings, Part II
    A Bhattacharjee, SK Borgohain, B Soni, G Verma, XZ Gao
    Springer Nature , 2020
    2020
    Citations: 18
  • Secure cloud‐based e‐learning system with access control and group key mechanism
    S Kanimozhi, A Kannan, K Suganya Devi, K Selvamani
    Concurrency and computation: Practice and experience 31 (12), e4841 , 2019
    2019
    Citations: 18