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ORCIDJagadeesh Kakarla
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2020 – today
- 2024
[j18]Bala Venkateswarlu Isunuri
, Jagadeesh Kakarla:
Ensemble coupled convolution network for three-class brain tumor grade classification. Multim. Tools Appl. 83(19): 57643-57659 (2024)- [j17]Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
EfficientNet and mixed convolution network for three-class brain tumor magnetic resonance image classification. Soft Comput. 28(17-18): 10741-10750 (2024) - [c8]V. Santhosh Kumar Tangudu, Jagadeesh Kakarla, A. Sam Prabhu, Bala Vikranth Kumar:
CycleGAN Based Bone Suppression Techniques for Standard CXR Images. ICPR (11) 2024: 284-294 - [i1]Palak Handa, Amirreza Mahbod, Florian Schwarzhans, Ramona Woitek, Nidhi Goel, Deepti Chhabra, Shreshtha Jha, Manas Dhir, Deepak Gunjan, Jagadeesh Kakarla, Balasubramanian Raman:
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. CoRR abs/2408.04940 (2024) - 2023
- [j16]Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
EfficientNet and multi-path convolution with multi-head attention network for brain tumor grade classification. Comput. Electr. Eng. 108: 108700 (2023) - [j15]Shree Prakash, Jagadeesh Kakarla:
Three level automatic segmentation of optic disc using LAB color space contours and morphological operation. Int. J. Imaging Syst. Technol. 33(5): 1796-1813 (2023) - [c7]Shree Prakash, Jagadeesh Kakarla:
Automatic Segmentation of Hard Exudates Using LAB Color Space Contours Edge Detection and Morphological Operation. CVIP (2) 2023: 324-335 - 2022
- [j14]Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
Three-class brain tumor classification from magnetic resonance images using separable convolution based neural network. Concurr. Comput. Pract. Exp. 34(1) (2022) - [j13]V. Santhosh Kumar Tangudu, Jagadeesh Kakarla, Isunuri Bala Venkateswarlu:
COVID-19 detection from chest x-ray using MobileNet and residual separable convolution block. Soft Comput. 26(5): 2197-2208 (2022) - [c6]Jagadeesh Kakarla, Isunuri Bala Venkateswarlu:
Brain Tumor Grade Detection Using Transfer Learning and Residual Multi-head Attention Network. CVIP (2) 2022: 205-215 - [c5]Bala Venkateswarlu Isunuri, Jagadeesh Kakarla:
Alzheimer's severity classification using Transfer Learning and Residual Separable Convolution Network. ICVGIP 2022: 9:1-9:6 - 2021
- [j12]Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Krishna Sai Doppalapudi, Karthik Satya Raghuram Bylapudi:
Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network. Int. J. Imaging Syst. Technol. 31(3): 1731-1740 (2021) - [j11]Lokesh Kumar Ramasamy, Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Munesh Singh:
Multi-class brain tumor classification using residual network and global average pooling. Multim. Tools Appl. 80(9): 13429-13438 (2021) - [j10]Srinath Kokkalla, Jagadeesh Kakarla, Isunuri Bala Venkateswarlu, Munesh Singh:
Three-class brain tumor classification using deep dense inception residual network. Soft Comput. 25(13): 8721-8729 (2021) - 2020
- [j9]Atif Mahmood, Miss Laiha Mat Kiah, Muhammad Reza Z'aba, Adnan N. Qureshi, Muhammad Shahreeza Safiruz Kassim, Zati Hakim Azizul, Jagadeesh Kakarla, Iraj Sadegh Amiri, Saaidal Razalli Azzuhri:
Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting. IEEE Access 8: 23264-23276 (2020) - [j8]Usha Jain, Muzzammil Hussain, Jagadeesh Kakarla:
Simple, secure, and lightweight mechanism for mutual authentication of nodes in tiny wireless sensor networks. Int. J. Commun. Syst. 33(9) (2020)
2010 – 2019
- 2019
- [j7]Ahmed Abdulhadi Jasim, Mohd Yamani Idna Bin Idris, Saaidal Razalli Azzuhri, Noor Riyadh Issa, Noorzaily Bin Mohamed Noor, Jagadeesh Kakarla, Iraj Sadegh Amiri:
Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model. IEEE Access 7: 164327-164343 (2019) - [j6]Jyoti Bhola, Surender Kumar Soni, Jagadeesh Kakarla:
A scalable and energy-efficient MAC protocol for sensor and actor networks. Int. J. Commun. Syst. 32(13) (2019) - [j5]Isunuri Bala Venkateswarlu, Jagadeesh Kakarla:
Password security by encryption using an extended ADFGVX cipher. Int. J. Inf. Comput. Secur. 11(4/5): 510-523 (2019) - 2018
- [c4]Ashish Kumar, Jagadeesh Kakarla, Muzzammil Hussain:
Asymmetric Key Cryptosystem and Digital Signature Algorithm Built on Discrete Logarithm Problem (DLP). ISDA (1) 2018: 401-410 - 2017
- [j4]Jagadeesh Kakarla, Banshidhar Majhi, Ramesh Babu Battula:
IDMMAC: Interference Aware Distributed Multi-Channel MAC Protocol for WSAN. J. Inf. Process. Syst. 13(5): 1229-1242 (2017) - 2016
- [j3]Jagadeesh Kakarla, Banshidhar Majhi, Ramesh Babu Battula:
IAMMAC: an interference-aware multichannel MAC protocol for wireless sensor-actor networks. Int. J. Commun. Syst. 29(4): 801-822 (2016) - [j2]Jagadeesh Kakarla, Banshidhar Majhi, Ramesh Babu Battula:
A delay and energy aware coordination mechanism for WSAN. Int. J. Commun. Syst. 29(18): 2604-2621 (2016) - 2015
- [j1]Jagadeesh Kakarla, Banshidhar Majhi, Ramesh Babu Battula:
Comparative Analysis of Routing Protocols in Wireless Sensor-Actor Networks: A Review. Int. J. Wirel. Inf. Networks 22(3): 220-239 (2015) - 2014
- [c3]Ramesh Babu Battula, Dinesh Gopalani, Manoj Singh Gaur, Jagadeesh Kakarla:
TMAC - Token based MAC protocol for cognitive radio wireless mesh network. ICTC 2014: 151-156 - 2013
- [c2]Jagadeesh Kakarla, Banshidhar Majhi:
A new optimal delay and energy efficient coordination algorithm for WSAN. IEEE ANTS 2013: 1-6 - 2012
- [c1]Jagadeesh Kakarla, S. Siva Sathya:
Route and Load Aware Channel Assignment Algorithm for Multichannel and Multi Radio Vehicular Ad-Hoc Networks. ACITY (1) 2012: 289-298
Coauthor Index
aka: Bala Venkateswarlu Isunuri
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