Deep learning-based skin lesion diagnosis model using dermoscopic images. G Reshma, C Al-Atroshi, VK Nassa, BT Geetha, G Sunitha, MG Galety, ... Intelligent Automation & Soft Computing 31 (1), 2022 | 95 | 2022 |
Intelligent deep learning based ethnicity recognition and classification using facial images G Sunitha, K Geetha, S Neelakandan, AKS Pundir, S Hemalatha, ... Image and Vision Computing 121, 104404, 2022 | 81 | 2022 |
A deep neural network learning‐based speckle noise removal technique for enhancing the quality of synthetic‐aperture radar images E Mohan, A Rajesh, G Sunitha, RM Konduru, J Avanija, L Ganesh Babu Concurrency and Computation: Practice and Experience 33 (13), e6239, 2021 | 56 | 2021 |
Prediction of House Price Using XGBoost Regression Algorithm J Avanija, G Sunitha, KR Madhavi, P Kora, RHS Vittal Turkish Journal of Computer and Mathematics Education 12 (2), 2151-55, 2021 | 53 | 2021 |
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features G Sunitha, R Arunachalam, M Abd-Elnaby, MMA Eid, ANZ Rashed International Journal of Imaging Systems and Technology, 1-14, 2022 | 46 | 2022 |
Semantic Similarity based Web Document Clustering Using Hybrid Swarm Intelligence and FuzzyC-Means J Avanija, G Sunitha, KR Madhavi Helix 7 (5), 2007-2012, 2017 | 25 | 2017 |
Innovations in the industrial Internet of Things (IIoT) and smart factory S Goundar, J Avanija, G Sunitha, KR Madhavi, SB Bhushan IGI Global, 2021 | 18 | 2021 |
Modeling of Chaotic Political Optimizer for Crop Yield Prediction G Sunitha, MN Pushpalatha, A Parkavi, P Boyapati, R Walia, R Kohar, ... Intelligent Automation & Soft Computing 34 (1), 423-437, 2022 | 17 | 2022 |
Modeling convolutional neural network for detection of plant leaf spot diseases G Sunitha, KR Madhavi, J Avanija, STK Reddy, RHS Vittal 2022 3rd International Conference on Electronics and Sustainable …, 2022 | 16 | 2022 |
A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach R Arunachalam, G Sunitha, SK Shukla, SN Pandey, S Urooj, S Rawat Knowledge and Information Systems 65 (12), 5561-5599, 2023 | 15 | 2023 |
An automated approach for detection of intracranial haemorrhage using DenseNets J Avanija, G Sunitha, K Reddy Madhavi, R Hitesh Sai Vittal Data Engineering and Communication Technology: Proceedings of ICDECT 2020 …, 2021 | 14 | 2021 |
Automatic detection of diabetic retinopathy in retinal images: a study of recent advances T Prabhakar, G Sunitha, JA Gudavalli Madhavi, KR Madhavi Annals of the Romanian Society for Cell Biology, 15277-15289, 2021 | 13 | 2021 |
Prediction of Climate Change using SVM and Naïve Bayes Machine Learning Algorithms C Karthikeyan, G Sunitha, J Avanija, KR Madhavi, ES Madhan Turkish Journal of Computer and Mathematics Education 12 (2), 2134-39, 2021 | 12 | 2021 |
Prediction and analysis of cervical cancer: an ensemble approach J Avanija, G Sunitha, KR Madhavi, SS Chakravarthi, RHS Vittal 2022 4th International Conference on Inventive Research in Computing …, 2022 | 10 | 2022 |
A multi-objective load balancing and power minimization in cloud using bio-inspired algorithms KS Kannan, G Sunitha, SN Deepa, DV Babu, J Avanija Computers and Electrical Engineering 102, 108225, 2022 | 10 | 2022 |
Facial expression recognition using convolutional neural network J Avanija, KR Madhavi, G Sunitha, SC Sangapu, S Raju 2022 First International Conference on Artificial Intelligence Trends and …, 2022 | 10 | 2022 |
Automatic segmentation of prostate cancer using cascaded fully convolutional network P Kora, KR Madhavi, J Avanija, S Gurram, K Meenakshi, K Swaraja, ... E3S Web of Conferences 309, 01068, 2021 | 9 | 2021 |
Detection of concept-drift for clustering time-changing categorical data: An optimal method for large datasets K Reddy Madhavi, A Vinaya Babu, G Sunitha, J Avanija Data Engineering and Communication Technology: Proceedings of 3rd ICDECT …, 2020 | 9 | 2020 |
WRSP-miner algorithm for mining weighted sequential patterns from spatio-temporal databases G Sunitha, ARM Reddy Proceedings of the Second International Conference on Computer and …, 2016 | 9 | 2016 |
A Multi-stage Deep Model for Crop Variety and Disease Prediction R Nennuri, RH Kumar, G Prathyusha, K Tejaswini, G Kanishka, G Sunitha International Conference on Soft Computing and Pattern Recognition, 52-59, 2022 | 8 | 2022 |