| Bayesian HCS-based multi-SVNN: a classification approach for brain tumor segmentation and classification using Bayesian fuzzy clustering AR Raju, P Suresh, RR Rao Biocybernetics and Biomedical Engineering 38 (3), 646-660, 2018 | 113 | 2018 |
| Teaching and Learning based 5G cognitive radio application for future application VS Ramaiah, B Singh, AR Raju, GN Reddy, K Saikumar, D Ratnayake 2021 International Conference on Computational Intelligence and Knowledge …, 2021 | 52 | 2021 |
| Analysis of dual tree M‐band wavelet transform based features for brain image classification RR Ayalapogu, S Pabboju, RR Ramisetty Magnetic resonance in medicine 80 (6), 2393-2401, 2018 | 24 | 2018 |
| Hybrid active contour model and deep belief network based approach for brain tumor segmentation and classification A Ratna Raju, S Pabboju, R Rajeswara Rao Sensor Review 39 (4), 473-487, 2019 | 16 | 2019 |
| Pseudo Trained YOLO R_CNN Model for Weapon Detection with a Real-Time Kaggle Dataset T Maddileti, J Sirisha, R Srinivas, K Saikumar International Journal of Integrated Engineering 14 (7), 131-145, 2022 | 7 | 2022 |
| Brain image classification using dual-tree M-band wavelet transform and naïve bayes classifier A Ratna Raju, S Pabboju, R Rajeswara Rao Intelligent Computing in Engineering: Select Proceedings of RICE 2019, 635-642, 2020 | 4 | 2020 |
| Suresh, and R. Rajeswara Rao,“Bayesian HCS-based multi-SVNN: A classification approach for brain tumour segmentation and classification using Bayesian fuzzy clustering” A Raju, P Ratna Biocybernetics and Biomedical Engineering 38 (3), 646-660, 2018 | 4 | 2018 |
| Performance analysis and critical review on segmentation techniques for brain tumor classification AR Raju, S Pabboju, RR Ramisetty International Journal of Image and Graphics 23 (02), 2350023, 2023 | 2 | 2023 |
| OntoBlock: a novel ontological-based and blockchain enabled spectrum sensing framework for detection of malicious users in cognitive radio internet of things (CR-IoT) networks NK Marriwala, VK Shukla, AR Raju, S Panda, S S, HC Purad International journal of information technology 16 (6), 3913-3921, 2024 | 1 | 2024 |
| Hybrid Deep Learning Approach for Brain Tumor Segmentation and Classification AR Raju, S Pabboju, RR Rao Distributed Computing and Optimization Techniques: Select Proceedings of …, 2022 | 1 | 2022 |
| MRI brain image classification using Linear Vector Quantization Classifier AR Raju, S Pabboju, RR Rao Cardiometry, 516-519, 2022 | 1 | 2022 |
| TAYLOR-IIWO: TAYLOR IMPROVED INVASIVE WEED OPTIMIZATION-ENABLED DEEP QUANTUM NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION AND CLASSIFICATION AR Raju, S Pabboju, RR Rao Biomedical Engineering: Applications, Basis and Communications 35 (01), 2250044, 2023 | | 2023 |
| STUDY OF PLASTIC WASTE MIXED BITUMINOUS CONCRETE FOR ROAD CONSTRUCTION A Raju, G Akshay, C Maheshwari, G Naresh, J Sairam, K Saikumar Journal of Engineering Sciences 14 (05), 2023 | | 2023 |
| Pathological Analysis of Brain Tumor in MRI Images Using CAR-UNET Model Architecture AR Raju, S Pabboju, RR Ramisetty Cardiometry, 1086-1097, 2022 | | 2022 |
| ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK. AR Raju NeuroQuantology 20 (4), 724-730, 2022 | | 2022 |
| A Real Time Image Inverse and Training Process for Future Multi-Media Application with RFO Machine Learning Technique AR Raju, GN Reddy Design Engineering, 2084-2100, 2021 | | 2021 |
| MIMR System with One-Bit Quantization with Bough & Bound Pre-Coding Technique GN Reddy, AR Raju Design Engineering, 2112-2122, 2021 | | 2021 |
| A Real Time Energy Efficiency Wireless Sensors Networks Coverage and Localization for Sustainable Applications K V. Subba Ramaiah, A. Ratna Raju, Sirasani Srinivasa Rao, N. Lakshman Pratap Journal of Green Engineering 10 (12), 13724-13733, 2020 | | 2020 |
