Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks AVN Reddy, CP Krishna, PK Mallick, SK Satapathy, P Tiwari, M Zymbler, ... Journal of Big Data 7, 1-17, 2020 | 32 | 2020 |
An image classification framework exploring the capabilities of extreme learning machines and artificial bee colony AVN Reddy, CP Krishna, PK Mallick Neural computing and applications 32 (8), 3079-3099, 2020 | 30 | 2020 |
Contour tracking based knowledge extraction and object recognition using deep learning neural networks C Phanikrishna, AVN Reddy 2016 2nd International conference on next generation computing technologies …, 2016 | 28 | 2016 |
On optimization efficiency of scalability and availability of cloud-based software services using scale rate limiting algorithm AVN Reddy, AA Kumar, N Venu, RVK Reddy Measurement: Sensors 24, 100468, 2022 | 19 | 2022 |
A hybrid classification of imbalanced hyperspectral images using ADASYN and enhanced deep subsampled multi-grained cascaded forest D Datta, PK Mallick, AVN Reddy, MA Mohammed, MM Jaber, AS Alghawli, ... Remote Sensing 14 (19), 4853, 2022 | 9 | 2022 |
A survey on applications and performance of deep convolution neural network architecture for image segmentation AN Reddy, D Krishna International Journal of Pure and Applied Mathematics 118 (19), 43-60, 2018 | 8 | 2018 |
Integrated design of optimized weighted deep feature fusion strategies for skin lesion image classification N Mohanty, M Pradhan, AVN Reddy, S Kumar, A Alkhayyat Cancers 14 (22), 5716, 2022 | 6 | 2022 |
A survey on applications and performance of deep convolution neural network architecture for image segmentation disease classification from MRI images AVN Reddy, CP Krishna Journal of Advanced Research in Dynamical and Control Systems 10 (14), 609-617, 2018 | 6 | 2018 |
A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem S Rout, PK Mallick, A VN Reddy, S Kumar Information 13 (8), 386, 2022 | 2 | 2022 |
Restricted Boltzmann Machine Supported Deep Belief Network for Brain Disorder Detection AVN Reddy, CP Krishna PalArch's Journal of Archaeology of Egypt/Egyptology 17 (7), 9755-9777, 2020 | 2 | 2020 |
An empirical hybridized Siamese network using hypercube natural aggregation algorithm for handling imbalance data learning S Rout, PK Mallick, AVN Reddy, M Alharbi, A Alkhayyat Expert Systems, e13338, 2023 | 1 | 2023 |
An efficient brain tumor classification using MRI images with hybrid deep intelligence model AVN Reddy, PK Mallick, B Srinivasa Rao, P Kanakamedala The Imaging Science Journal, 1-15, 2023 | | 2023 |
Automatic COVID Protocols-Based Human Entry Check System AVN Reddy, C Siva Vara Prasad, O Prathyusha, D Sai Praveen Kumar, ... International Conference on Frontiers of Intelligent Computing: Theory and …, 2023 | | 2023 |
An Innovative Software Engineering Approach to Machine Learning for Increasing the Effectiveness of Health Systems AVN Reddy, MRS Prasanna, A Greeshma, KS Kumar International Conference On Innovative Computing And Communication, 207-223, 2023 | | 2023 |
A Novel Approach for Effective Classification of Brain Tumors Using Hybrid Deep Learning AVN Reddy, A Kavya, B Rohith, BN Rao, L Harshada International Conference On Innovative Computing And Communication, 483-498, 2023 | | 2023 |
Classification of Brain Images Using Machine Learning Techniques KSMVA Annapareddy V. N. Reddy, Reva Devi Gundreddy, Moyya Meghana Cognitive Informatics and Soft Computing 375, 551–561, 2022 | | 2022 |
Classification of Brain Diseases Through Medical Image Processing Using Machine Learning Techniques AVN Reddy Vaddeswaram, 2021 | | 2021 |
Developing Of Zero Error Failures by Using Clean Room AVN REDDY | | |
Collaboration in Multicolor Computing Environments: Framework and Security Issues A Burjukadi, AVN Reddy | | |
CONTENT BASED IMAGE RETRIEVAL FOR DETECTING BRAIN TUMOR: A REVIEW PAPER AVN Reddy, CVP Krishna | | |