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Rashmi Kumari
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2020 – today
- 2024
- [j4]Rashmi Kumari, Subhranil Das, Raghwendra Kishore Singh:
Agglomeration of deep learning networks for classifying binary and multiclass classifications using 3D MRI images for early diagnosis of Alzheimer's disease: a feature-node approach. Int. J. Syst. Assur. Eng. Manag. 15(3): 931-949 (2024) - [c7]Rashmi Kumari, Surita Sarkar, Debeshi Dutta, Pabitra Das, Amit Acharyya:
P2E-LGAN: PPG to ECG Reconstruction Methodology using LSTM based Generative Adversarial Network. ISCAS 2024: 1-5 - [i1]Pranav Gupta, Raunak Sharma, Rashmi Kumari, Sri Krishna Aditya, Shwetank Choudhary, Sumit Kumar, Kanchana M, Thilagavathy R:
ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning. CoRR abs/2409.14043 (2024) - 2022
- [j3]Rashmi Kumari, Akriti Nigam, Shashank Pushkar:
An efficient combination of quadruple biomarkers in binary classification using ensemble machine learning technique for early onset of Alzheimer disease. Neural Comput. Appl. 34(14): 11865-11884 (2022) - [c6]Vijayarangan Natarajan, Rashmi Kumari, Sakthi Priya M:
Hospitality Industry 4.0 - Customize and Optimize Real-Time Allocation of Rooms. CSCI 2022: 1895-1900 - 2020
- [c5]Shivam Tyagi, Rashmi Kumari, Sarath Chandra Makkena, Swayam Swaroop Mishra, Vishnu S. Pendyala:
Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms. ICDSE 2020: 1-9
2010 – 2019
- 2017
- [c4]Sheetanshu Srivastava, Akriti Nigam, Rashmi Kumari:
Work-in-Progress: Towards Efficient and Scalable Big Data Analytics: Mapreduce vs. RDD's. ICIT 2017: 272-275 - 2016
- [c3]Rashmi Kumari, Sheetanshu, M. K. Singh, R. Jha, N. K. Singh:
Anomaly detection in network traffic using K-mean clustering. RAIT 2016: 387-393 - 2015
- [c2]Rashmi Kumari, Mohsen Alimomeni, Reihaneh Safavi-Naini:
Performance Analysis of Linux RNG in Virtualized Environments. CCSW 2015: 29-39 - 2014
- [j2]Rashmi Kumari, Anupriya Asthana, Vikas Kumar:
A Novel Approach of Restoration of Digital Images Degraded by Impulse Noise. Int. J. Comput. Vis. Image Process. 4(2): 1-17 (2014) - [j1]Rashmi Kumari, Rajendra Kumar, Andrew M. Lynn:
g_mmpbsa - A GROMACS Tool for High-Throughput MM-PBSA Calculations. J. Chem. Inf. Model. 54(7): 1951-1962 (2014) - 2013
- [c1]Anton Mosunov, Vineet Sinha, Heather Crawford, John Aycock, Daniel Medeiros Nunes de Castro, Rashmi Kumari:
Assured Supraliminal Steganography in Computer Games. WISA 2013: 245-259
Coauthor Index
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last updated on 2024-10-16 20:31 CEST by the dblp team
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