VELLA MANIKANTA

@mvgrce.com

Assistant Professor, Department of Data Engineering
MVGR College of Engineering(A)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence
2

Scopus Publications

664

Scholar Citations

14

Scholar h-index

17

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Synthetic data-driven diabetic retinopathy diagnosis with explainable AI: a clinically interpretable framework
    HK Vasireddi, RT Gedela, SK Dasari, RK Devarapalli
    Graefe's Archive for Clinical and Experimental Ophthalmology, 1-21 , 2026
    2026
  • 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: 4
  • Efficient skin disease detection with CNNs
    A Dogga, P Dogga, GP Geddam, GB Lakshmi, V Manikanta
    AIP Conference Proceedings 3298 (1), 020041 , 2025
    2025
  • Hemangioma Medicinal Image Performance Assessment for Effective Segmentation using HIPI Architecture
    HK Vasireddi, NR Ch, R Bhattacharya
    2025 Second International Conference on Networks and Soft Computing (ICNSoC … , 2025
    2025
  • Classification of diabetic retinopathy using regularized pre-trained models
    K Devi
    Exploring the Micro World of Robotics Through Insect Robots, 139-164 , 2025
    2025
    Citations: 3
  • 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: 24
  • 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
  • of Retinal Images for DR Lesion Segmentation Using the HIРІ
    HK Vasireddi, KS Devi, O Prakash
    Accelerating Discoveries in Data Science and Artificial Intelligence II … , 2024
    2024
  • Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition
    J Jayachitra, KS Devi, SV Manisekaran, SK Satti
    The Journal of Supercomputing 80 (6), 8357-8382 , 2024
    2024
    Citations: 9
  • Clinico-demographic parameters of oral fungal infections: An institutional retrospective study
    KS Devi, R Abilasha, S Kizhakkoottu, KI Devi
    Cureus 16 (3) , 2024
    2024
    Citations: 6
  • Does electronic economics matter to financial technology firms?
    K Najaf, P Sinnadurai, KS Devi, MM Dhiaf
    Electronic Commerce Research 24 (1), 393-426 , 2024
    2024
    Citations: 14
  • Miswak-infused glass ionomer cement: a comparative in vitro analysis of antibacterial efficacy and compressive strength
    K Devi, J Paulraj, R Shanmugam, S Maiti, A Vaishnavi
    Cureus 16 (2) , 2024
    2024
    Citations: 8
  • A comparative in vitro analysis of antimicrobial effectiveness and compressive resilience in Chirata and Terminalia arjuna modified glass ionomer cement
    K Devi, J Paulraj, RS George, R Shanmugam, S Maiti, KI Devi
    Cureus 16 (1) , 2024
    2024
    Citations: 8
  • Detecting laryngeal cancer lesions from endoscopy images using deep ensemble model
    R Bhattacharjee, KS Devi, S Vijaykanth
    2023 International Conference on Signal Processing, Computation, Electronics … , 2023
    2023
    Citations: 5
  • Automated skin cancer detection using deep learning with self-attention mechanism
    H Singh, KS Devi, SS Gaur, R Bhattacharjee
    2023 International Conference on Computational Intelligence and Sustainable … , 2023
    2023
    Citations: 5
  • DR-HIPI: Performance Evaluation of Retinal Images for DR Lesion Segmentation Using the HIPI Architecture
    HK Vasireddi, KS Devi, O Prakash, M Vella
    XVIII International Conference on Data Science and Intelligent Analysis of … , 2023
    2023
  • Morphology of red blood cells classification using deep learning approach
    P Dhar, KS Devi, K Sekar, P Srinivasan
    2023 IEEE 3rd International Conference on Technology, Engineering … , 2023
    2023
    Citations: 6
  • Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques.
    G Arutperumjothi, KS Devi, C Rani, P Srinivasan
    Intelligent Automation & Soft Computing 35 (1) , 2023
    2023
    Citations: 3

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: 137
  • 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
  • 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
  • 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: 32
  • Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey.
    NVRR Goluguri, KS Devi, N Vadaparthi
    Artif. Intell. Rev. 54 (1), 359-396 , 2021
    2021
    Citations: 32
  • Energy efficient data gathering using spatio-temporal compressive sensing for WSNs
    K Sekar, KS Devi, P Srinivasan
    Wireless Personal Communications 117 (2), 1279-1295 , 2021
    2021
    Citations: 26
  • 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: 24
  • 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
  • ICTS: Indian cautionary traffic sign classification using deep learning
    SK Satti, KS Devi, K Sekar, P Dhar, P Srinivasan
    2022 IEEE International Conference on Distributed Computing and Electrical … , 2022
    2022
    Citations: 17
  • Enhancing and classifying traffic signs using computer vision and deep convolutional neural network
    SK Satti, KS Devi, P Dhar, P Srinivasan
    International Conference on Machine Learning, Image Processing, Network … , 2020
    2020
    Citations: 15
  • Does electronic economics matter to financial technology firms?
    K Najaf, P Sinnadurai, KS Devi, MM Dhiaf
    Electronic Commerce Research 24 (1), 393-426 , 2024
    2024
    Citations: 14
  • Assessment of coastal dune characteristics using georadar imaging and sedimentological analysis: Odisha and Visakhapatnam, India
    K Devi, MC Raicy, D Trivedi, P Srinivasan, SGN Murthy, RJ Goble, ...
    Journal of coastal conservation 17 (4), 729-742 , 2013
    2013
    Citations: 14
  • Deep wavelet architecture for compressive sensing recovery
    K Sekar, KS Devi, P Srinivasan, VM SenthilKumar
    2020 Seventh International Conference on Information Technology Trends (ITT … , 2020
    2020
    Citations: 12
  • Interpretation of dune genesis from sedimentogical data and ground penetrating radar (GPR) signatures: a case study from Ashirmata dune field, Mandvi beach, Gujarat, India
    D Trivedi, K Devi, I Buynevich, P Srinivasan, K Ravisankar, V Silwal, ...
    International Journal of Geosciences 3 (4), 772 , 2012
    2012
    Citations: 11
  • Sediment characteristics of tidal deposits at Mandvi, Gulf of Kuchchh, Gujarat, India: geophysical, textural and mineralogical attributes
    D Trivedi, MC Raicy, K Devi, D Kumar, I Buynevich, P Srinivasan, NR Iyer, ...
    International Journal of Geosciences 3 (3), 515 , 2012
    2012
    Citations: 11
  • Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition
    J Jayachitra, KS Devi, SV Manisekaran, SK Satti
    The Journal of Supercomputing 80 (6), 8357-8382 , 2024
    2024
    Citations: 9
  • Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation
    SK Satti, KS Devi, P Dhar, P Srinivasan
    Soft Computing 26 (18), 9141-9153 , 2022
    2022
    Citations: 9
  • Joint correlated compressive sensing based on predictive data recovery in WSNs
    K Sekar, KS Devi, P Srinivasan, T Dheepa, B Arpita
    2020 International conference on emerging trends in information technology … , 2020
    2020
    Citations: 9