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ORCIDA. Rajaram
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2020 – today
- 2026
[j28]A. Karthik, Santosh Kumar Sahoo, Ajay Kumar, Nileshkumar Patel
, P. Chinnaraj, Lakshmana Phaneendra Maguluri, Mohammed Shuaib, A. Rajaram:
Corrigendum to "Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies". [Biomed. Signal Process. Contr. 100, Part A (2025) 106872. DoI: https://doi.org/10.1016/j.bspc.2024.106872]. Biomed. Signal Process. Control. 112: 108424 (2026)- 2025
- [j27]A. Karthik, Sridhar Patthi, B. Uma Maheswari, J. Sirisha Devi, Abhaya Kumar Pradhan, G. Balaji, G. Nallasivan, A. Rajaram:
Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification. Biomed. Signal Process. Control. 100: 106811 (2025) - [j26]A. Karthik, Santosh Kumar Sahoo, Ajay Kumar, Nileshkumar Patel, P. Chinnaraj, Lakshmana Phaneendra Maguluri, Mohammed Shuaib, A. Rajaram:
Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies. Biomed. Signal Process. Control. 100: 106872 (2025) - [j25]P. U. Poornima, K. Dhineshkumar, Chunduri Kiran Kumar, S. Sumana, M. V. Rama Sundari, P. Sivaraman, Mohammed Shuaib, A. Rajaram:
Optimising rooftop photovoltaic adoption in urban landscapes: A system dynamics approach for sustainable energy transitions. Biomed. Signal Process. Control. 100: 107071 (2025) - [j24]K. Ramu, Gopu Sreenivasulu, Rinku Sharma Dixit, Shailee Lohmor Choudhary, Katakam Venkateswara Rao, Sanjay Kumar Suman, Mohammed Shuaib, A. Rajaram:
Smart solar power Conversion: Leveraging Deep learning MPPT and hybrid cascaded h-bridge multilevel inverters for optimal efficiency. Biomed. Signal Process. Control. 105: 107582 (2025) - [j23]Anshy Singh, N. Nagabhooshanam, Rakesh Kumar, Rajesh Verma, S. Mohanasundaram, Ramaswamy Manjith, Mohammed Shuaib, A. Rajaram:
Deep learning based coronary artery disease detection and segmentation using ultrasound imaging with adaptive gated SCNN models. Biomed. Signal Process. Control. 105: 107637 (2025) - [j22]A. Rajaram, A. Baskar:
Hybrid Optimization-Based Multi-Path Routing for Dynamic Cluster-Based MANET. Cybern. Syst. 56(1): 46-68 (2025) - [j21]C. Kishor Kumar Reddy, Pulakurthi Anaghaa Reddy, Pulakurthi Satyanarayana Reddy, Mohammed Shuaib, Shadab Alam, Sadaf Ahmad, A. Rajaram:
Twined ensemble framework for network security: integrating Random Forest, AdaBoost, and Gradient Boosting for enhanced intrusion detection. Discov. Internet Things 5(1): 107 (2025) - [j20]Faris A. Almalki, A. Rajaram:
Optimizing gas efficiency and enhancing security in Ethereum smart contracts through integrated clustering and anomaly detection. Int. J. Inf. Sec. 24(3): 145 (2025) - [j19]Manjunathan Alagarsamy, Jeevitha Sakkarai, E. Mariappan, K. Malathi, Kamalam Gobichettipalayam Krishnasamy, Arun Anthonisamy, Faisal Alshanketi, A. Rajaram:
Dynamic Attention-Augmented Neural Network for Accurate and Efficient Brain Tumor Classification and Segmentation Using MRI. Int. J. Pattern Recognit. Artif. Intell. 39(10): 2557005:1-2557005:26 (2025) - [j18]Diwakar Bhardwaj, N. Nagabhooshanam, Ajeet Singh, B. Selvalakshmi, Sanjeevkumar Angadi, S. Shargunam, Tapas Guha, Gurkirpal Singh, A. Rajaram:
Enhanced satellite imagery analysis for post-disaster building damage assessment using integrated ResNet-U-Net model. Multim. Tools Appl. 84(5): 2689-2714 (2025) - [j17]Maganti Syamala, Raja Chandrasekaran, R. Balamurali, R. Rani, Arshad Hashmi, Ajmeera Kiran, A. Rajaram:
Evaluating Generative Adversarial Networks for Virtual Contrast-Enhanced Kidney Segmentation using Res-UNet in Non-Contrast CT Images. Multim. Tools Appl. 84(18): 20121-20144 (2025) - [j16]Naresh Poloju, A. Rajaram:
Hybrid technique for lung disease classification based on machine learning and optimization using X-ray images. Multim. Tools Appl. 84(21): 23531-23553 (2025) - [j15]Phaneendra Chiranjeevi, A. Rajaram:
A smart recommender model based on learning method for sentiment classification. Multim. Tools Appl. 84(26): 30521-30541 (2025) - [j14]Jeba Sonia J, Arun Kumar G, ERajesh kumar, Kola Narasimha Raju, V. Sudha, Pravin R. Kshirsagar, Vineet Tirth, A. Rajaram:
Intelligent traffic prediction system using hybrid convolutional neural networks for smart cities. Multim. Tools Appl. 84(27): 31919-31937 (2025) - [j13]G. Arulselvan, A. Rajaram:
Routing attacks detection in MANET using trust management enabled hybrid machine learning. Wirel. Networks 31(2): 1481-1495 (2025) - 2024
- [j12]A. Karthik, S. Shiek Aalam, M. Sivakumar, M. V. Rama Sundari, J. Dafni Rose, Elangovan Muniyandy, A. Rajaram:
Improving brain tumor treatment with better imaging and real-time therapy using quantum dots. Biomed. Signal Process. Control. 95: 106286 (2024) - [j11]Rajendra Kumar Ganiya, Duggineni Veeraiah, Venkata Nagaraju Thatha, Katta Subba Rao, J. Nageswara Rao, Ramaswamy Manjith, A. Rajaram:
Revolutionizing vascular health through the temporal convolutional transformer for drug screening and model evolution. Biomed. Signal Process. Control. 95: 106390 (2024) - [j10]A. Karthik, Hatem S. A. Hamatta, Sridhar Patthi, C. Krubakaran, Abhaya Kumar Pradhan, Venubabu Rachapudi, Mohammed Shuaib, A. Rajaram:
Ensemble-based multimodal medical imaging fusion for tumor segmentation. Biomed. Signal Process. Control. 96: 106550 (2024) - [j9]Jayaprakash Chinnadurai, A. Karthik, Janjhyam Venkata Naga Ramesh, Sudipta Banerjee, P. V. Rajlakshmi, Katakam Venkateswara Rao, D. Sudarvizhi, A. Rajaram:
Enhancing online education recommendations through clustering-driven deep learning. Biomed. Signal Process. Control. 97: 106669 (2024) - [j8]Lakshmana Phaneendra Maguluri, Kuldeep Chouhan, R. Balamurali, R. Rani, Arshad Hashmi, Ajmeera Kiran, A. Rajaram:
Adversarial deep learning for improved abdominal organ segmentation in CT scans. Multim. Tools Appl. 83(35): 82107-82129 (2024) - [j7]Shivani Gupta, Nileshkumar Patel, Ajay Kumar, Neelesh Kumar Jain, Pranav Dass, Rajalaxmi Hegde, A. Rajaram:
Intelligent resource optimization for scalable and energy-efficient heterogeneous IoT devices. Multim. Tools Appl. 83(35): 82343-82367 (2024) - [j6]N. Ilakkiya, A. Rajaram:
A secured trusted routing using the structure of a novel directed acyclic graph-blockchain in mobile ad hoc network internet of things environment. Multim. Tools Appl. 83(40): 87903-87928 (2024) - [j5]R. P. Premanand, V. Senthilkumar, Gokul Kumar, A. Rajendran, A. Rajaram:
Dynamic link utilization empowered by reinforcement learning for adaptive storage allocation in MANET. Soft Comput. 28(6): 5275-5285 (2024) - [j4]R. Elavarasan, A. Rajaram:
Distributed clustering model for energy efficiency based topology control using game theory in wireless sensor networks. Sustain. Comput. Informatics Syst. 44: 101015 (2024) - 2023
- [j3]N. Ilakkiya, A. Rajaram:
Blockchain-assisted Secure Routing Protocol for Cluster-based Mobile-ad Hoc Networks. Int. J. Comput. Commun. Control 18(2) (2023) - 2022
- [j2]Xiujun Zhai, A. Rajaram, K. Ramesh:
Cognitive Model for Human Behavior Analysis. J. Interconnect. Networks 22(Supp-04): 2146013:1-2146013:18 (2022) - 2020
- [j1]R. P. Premanand, A. Rajaram:
Enhanced data accuracy based PATH discovery using backing route selection algorithm in MANET. Peer-to-Peer Netw. Appl. 13(6): 2089-2098 (2020)
2000 – 2009
- 2009
- [i1]A. Rajaram, S. Palaniswami:
A Trust Based Cross Layer Security Protocol for Mobile Ad hoc Networks. CoRR abs/0911.0503 (2009)
Coauthor Index
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