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N. V. K. Ramesh
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2020 – today
- 2024
- [j4]Shaik Ummay Atiya, N. V. K. Ramesh:
Enhancing non-small cell lung cancer radiotherapy planning: A deep learning-based multi-modal fusion approach for accurate GTV segmentation. Biomed. Signal Process. Control. 92: 105987 (2024) - [j3]Shaik Ummay Atiya, N. V. K. Ramesh, B. Naresh Kumar Reddy:
Classification of non-small cell lung cancers using deep convolutional neural networks. Multim. Tools Appl. 83(5): 13261-13290 (2024) - 2022
- [j2]M. Nagageetha, N. V. K. Ramesh:
A feature ranking-based deep learning secure framework for multi-class leaf disease detection. Int. J. Ad Hoc Ubiquitous Comput. 40(1/2/3): 80-93 (2022) - 2021
- [c3]Monika M. Patil, Ranjit Sadakale, N. V. K. Ramesh, Rajendrakumar A. Patil:
An Efficient Bio-inspired Algorithms for Selection of Dynamic Route to Avoid Traffic Flow in VANET. ICCCNT 2021: 1-5 - [c2]N. V. K. Ramesh, Mohanpradeep Reddy B, Bhavya Deepika B, N. Suresh, K. Raghava Rao, B. Naresh Kumar Reddy:
Identification of Tomato Crop Diseases Using Neural Networks-CNN. ICCCNT 2021: 1-5 - 2020
- [j1]Shakeel Ahmed, N. V. K. Ramesh, B. Naresh Kumar Reddy:
A Highly Secured QoS Aware Routing Algorithm for Software Defined Vehicle Ad-Hoc Networks Using Optimal Trust Management Scheme. Wirel. Pers. Commun. 113(4): 1807-1821 (2020)
2010 – 2019
- 2019
- [c1]Ranjit Sadakale, Akshay Bhosale, N. V. K. Ramesh:
Performance Analysis of Traffic Types in AODV Routing Protocol for VANETs. ICCCNT 2019: 1-5
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last updated on 2024-06-28 23:43 CEST by the dblp team
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