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