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R. Rajeswari
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2020 – today
- 2024
- [j16]R. Rajeswari, Santhoshini Sahu, Ramamani Tripathy, Manikonda Srinivasa Sesha Sai
:
DFMN: Dense fused Maxout network for severity prediction of brain tumor using hybrid tumor segmentation algorithm. Biomed. Signal Process. Control. 92: 106029 (2024) - [j15]Vadamodula Prasad
Artificial gannet optimization enabled deep convolutional neural network for autism spectrum disorders classification using MRI image. Multim. Tools Appl. 83(30): 74757-74783 (2024) - 2023
- [j14]Ramachandro Majji, Balajee Maram
Chronological horse herd optimization-based gene selection with deep learning towards survival prediction using PAN-Cancer gene-expression data. Biomed. Signal Process. Control. 84: 104696 (2023) - [j13]Ramachandro Majji, R. Rajeswari, Ch. Vidyadhari, Rajan Cristin:
Squirrel Search Deer Hunting-Based Deep Recurrent Neural Network for Survival Prediction Using PAN-Cancer Gene Expression Data. Comput. J. 66(1): 245-266 (2023) - [j12]Ramachandro Majji, Om Prakash P. G, R. Rajeswari, Rajan Cristin:
Smart IoT in Breast Cancer Detection Using Optimal Deep Learning. J. Digit. Imaging 36(4): 1489-1506 (2023) - [j11]R. Rajeswari, G. V. Sriramakrishnan, Ch. Vidyadhari, K. V. Kanimozhi:
ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System. J. Digit. Imaging 36(6): 2461-2479 (2023) - [j10]S. Rajakumar, V. Agalya, R. Rajeswari, Rohit Pachlor:
Political exponential deer hunting optimization-based deep learning for brain tumor classification using MRI. Signal Image Video Process. 17(7): 3451-3459 (2023) - 2022
- [j9]R. Rajeswari
MVPO Predictor: Deep Learning-Based Tumor Classification and Survival Prediction of Brain Tumor Patients with MRI Using Multi-Verse Political Optimizer. Int. J. Pattern Recognit. Artif. Intell. 36(2): 2252006:1-2252006:27 (2022) - [j8]R. Rajeswari, Veerraju Gampala
FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. J. Digit. Imaging 35(6): 1463-1478 (2022) - [j7]Venkataramana Attada, K. Suresh Kumar
Prediction of Brinjal Plant Disease Using Support Vector Machine and Convolutional Neural Network Algorithm Based on Deep Learning. J. Mobile Multimedia 18(3): 771-788 (2022) - [j6]N. Jean Effil, R. Rajeswari:
Wavelet scattering transform and long short-term memory network-based noninvasive blood pressure estimation from photoplethysmograph signals. Signal Image Video Process. 16(1): 1-9 (2022)
2010 – 2019
- 2019
- [j5]K. Saravanakumar
Microbial fuel cell-based self-powered biosensor for environment monitoring in IoT cloud framework. Concurr. Comput. Pract. Exp. 31(15) (2019) - [j4]P. Venkatesh Kumar
A recursive discrete Kalman filter for the generation of reference signal to UPQC with unbalanced and distorted supply conditions. Int. J. Model. Identif. Control. 31(1): 39-52 (2019) - [j3]V. Nagaraju, R. Rajeswari, L. FranklinTelfer, A. Karunakaran, B. R. Tapas Bapu:
Design of miniaturized directional ultra wide band antenna for cancer detection. Int. J. RF Technol. Res. Appl. 10(3-4): 105-113 (2019) - 2015
- [j2]Dhanasekaran Kuttiyapillai
A method for extracting task-oriented information from biological text sources. Int. J. Data Min. Bioinform. 12(4): 387-399 (2015) - 2011
- [j1]K. Thirusangu, Atulya K. Nagar
Labelings in Cayley digraphs. Eur. J. Comb. 32(1): 133-139 (2011)
2000 – 2009
- 2009
- [c3]Prabhakar Mishra, H. N. Shankar, R. Rajeswari, Mudit Mathur, Pai Dipti G.:
A time-power efficient fixed point single purpose processor for mapping using ultrasound sensors. ICUMT 2009: 1-7 - [c2]R. Rajeswari, R. Rajesh:
Efficient Compression of 4D fMRI Images using Bandelet Transform and Fuzzy Thresholding. NaBIC 2009: 543-547 - 2007
- [c1]K. Daniel Wong, R. Rajeswari, Seh Chun Ng:
Teletraffic Analysis of Integrated Cellular/WLAN Networks. MoMM 2007: 255-260
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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