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Ashima Singh
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2020 – today
- 2024
- [j18]Amrita Kaur
, Lakhwinder Kaur, Ashima Singh:
DeepCONN: patch-wise deep convolutional neural networks for the segmentation of multiple sclerosis brain lesions. Multim. Tools Appl. 83(8): 24401-24433 (2024) - [j17]Arwinder Dhillon
, Ashima Singh, Vinod Kumar Bhalla:
HBS-STACK: hierarchical biomarker selection and stacked ensemble model for biomarker identification and cancer prediction on multi-omics. Neural Comput. Appl. 36(10): 5413-5431 (2024) - 2023
- [j16]Arwinder Dhillon
, Ashima Singh, Vinod Kumar Bhalla:
iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification. Appl. Intell. 53(22): 26672-26689 (2023) - [j15]Arwinder Dhillon
, Ashima Singh, Vinod Kumar Bhalla:
Biomarker identification and cancer survival prediction using random spatial local best cat swarm and Bayesian optimized DNN. Appl. Soft Comput. 146: 110649 (2023) - [c3]Riya Sharma, Anju Bala, Ashima Singh, Mukesh Singh:
State of Health Estimation for Li-Ion Battery Using Machine Learning. MetroXRAINE 2023: 406-411 - 2022
- [j14]Gitika Sharma
, Ashima Singh, Sushma Jain:
DeepEvap: Deep reinforcement learning based ensemble approach for estimating reference evapotranspiration. Appl. Soft Comput. 125: 109113 (2022) - [j13]Gitika Sharma
, Ashima Singh, Sushma Jain:
Hybrid deep learning techniques for estimation of daily crop evapotranspiration using limited climate data. Comput. Electron. Agric. 202: 107338 (2022) - [j12]Arwinder Dhillon
, Ashima Singh, Harpreet Vohra
, Caroline Ellis, Blesson Varghese, Sukhpal Singh Gill
:
IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing. Enterp. Inf. Syst. 16(7) (2022) - [j11]Parampreet Kaur, Ashima Singh, Inderveer Chana:
BSense: A parallel Bayesian hyperparameter optimized Stacked ensemble model for breast cancer survival prediction. J. Comput. Sci. 60: 101570 (2022) - [j10]Gitika Sharma
, Ashima Singh, Sushma Jain:
A hybrid deep neural network approach to estimate reference evapotranspiration using limited climate data. Neural Comput. Appl. 34(5): 4013-4032 (2022) - [j9]Gitika Sharma
, Ashima Singh, Sushma Jain:
Correction to: A hybrid deep neural network approach to estimate reference evapotranspiration using limited climate data. Neural Comput. Appl. 34(8): 6579 (2022) - [j8]Ashima Singh
, Amrita Kaur, Arwinder Dhillon
, Sahil Ahuja
, Harpreet Vohra:
Software system to predict the infection in COVID-19 patients using deep learning and web of things. Softw. Pract. Exp. 52(4): 868-886 (2022) - 2021
- [j7]Amrita Kaur
, Lakhwinder Kaur, Ashima Singh:
GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets. Neural Comput. Appl. 33(21): 14991-15025 (2021) - [j6]Ashima Singh, Arwinder Dhillon
, Neeraj Kumar
, M. Shamim Hossain
, Ghulam Muhammad, Manoj Kumar
:
eDiaPredict: An Ensemble-based Framework for Diabetes Prediction. ACM Trans. Multim. Comput. Commun. Appl. 17(2s): 66:1-66:26 (2021) - 2020
- [j5]Parampreet Kaur, Ashima Singh, Sukhpal Singh Gill:
RGIM: An Integrated Approach to Improve QoS in AODV, DSR and DSDV Routing Protocols for FANETS Using the Chain Mobility Model. Comput. J. 63(10): 1500-1512 (2020) - [j4]Harpreet Vohra
, Ashima Singh, Sukhpal Singh Gill
:
An innovative two-stage data compression scheme using adaptive block merging technique. Integr. 73: 68-76 (2020) - [j3]Kashish Bansal, Kashish Mittal, Gautam Ahuja, Ashima Singh, Sukhpal Singh Gill
:
DeepBus: Machine learning based real time pothole detection system for smart transportation using IoT. Internet Technol. Lett. 3(3) (2020) - [j2]Ashima Singh, Sukhpal Singh Gill
:
Measuring the maturity of Indian small and medium enterprises for unofficial readiness for capability maturity model integration-based software process improvement. J. Softw. Evol. Process. 32(9) (2020)
2010 – 2019
- 2019
- [j1]Ashima Singh, Harjinder Singh
, J. M. Khurana:
Computational study of new 1, 2, 3-triazole derivative of lithocholic acid: Structural aspects, non-linear optical properties and molecular docking studies as potential PTP 1B enzyme inhibitor. Comput. Biol. Chem. 78: 144-152 (2019) - 2014
- [c2]Janhavi, Ashima Singh:
Efficient regression test selection and recommendation approach for component based software. ICACCI 2014: 1547-1553 - [c1]Inderjit Singh, Ashima Singh:
Gray testing support in software repository with keyword based extraction. ICACCI 2014: 1947-1952
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last updated on 2024-04-25 05:49 CEST by the dblp team
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