Charu Gupta - researchr alias

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Viewing Publication 1 - 26 from 26

2024

Adaptive Prefix Filtering for Accurate Code Clone Detection in Conjunction with Meta-learningChavi Ralhan, Navneet Malik, Prateek Agrawal, Charu Gupta, Nishtha Jatana, Divya Jatain, Geetanjali Sharma. sncs, 5(6):789, August 2024. [doi]

2023

2022

HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine LearningCharu Gupta, Dev Gaur, Prateek Agrawal, Deepali Virmani. ijehmc, 13(2):1-15, 2022. [doi]

Collaborative Recommender System based on Improved Firefly AlgorithmBharti Sharma, Adeel Hashmi, Charu Gupta, Amita Jain. cys, 26(2), 2022. [doi]

Hybrid Sparrow Clustered (HSC) Algorithm for Top-N Recommendation SystemBharti Sharma, Adeel Hashmi, Charu Gupta, Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib, Malakeh Muhyiddeen Itani. symmetry, 14(4):793, 2022. [doi]

UCred: fusion of machine learning and deep learning methods for user credibility on social mediaPawan Kumar Verma, Prateek Agrawal, Vishu Madaan, Charu Gupta. snam, 12(1):54, 2022. [doi]

2021

Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft LaunchWei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Emily White Vangompel, Julie Dayiantis, Melissa Morton-Jost, Urmila Ravichandran, Karen Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav S. Shah. aci, 12(5):1161-1173, 2021. [doi]

FaD-CODS Fake News Detection on COVID-19 Using Description Logics and Semantic ReasoningKartik Goel, Charu Gupta, Ria Rawal, Prateek Agrawal, Vishu Madaan. ijitwe, 16(3):1-20, 2021. [doi]

Pragmatic Analysis of Classification Techniques based on Hyperparameter Tuning for Sentiment AnalysisCharu Gupta, Prateek Agrawal. isic2 2021: 453-459 [doi]

A Scientometric Analysis of Transient Patterns in Recommender System with Soft Computing TechniquesCharu Gupta, Amita Jain, Oscar Castillo 0001, Nisheeth Joshi. cys, 25(1), 2021. [doi]

XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural NetworksVishu Madaan, Aditya Roy, Charu Gupta, Prateek Agrawal, Anand Sharma, Cristian Bologa, Radu Prodan. ngc, 39(3):583-597, 2021. [doi]

2020

2019

DE-ForABSA: A Novel Approach to Forecast Automobiles Sales Using Aspect Based Sentiment Analysis and Differential EvolutionCharu Gupta, Amita Jain, Nisheeth Joshi. ijirr, 9(1):33-49, 2019. [doi]

A Hybrid Framework Based on PSO and Neutrosophic Set for Document Level Sentiment AnalysisAmita Jain, Basanti Pal Nandi, Charu Gupta, Devendra Kumar Tayal. icitam 2020: 372-379 [doi]

2018

ClusFuDE: Forecasting low dimensional numerical data using an improved method based on automatic clustering, fuzzy relationships and differential evolutionCharu Gupta, Amita Jain, Devendra Kumar Tayal, Oscar Castillo. eaai, 71:175-189, 2018. [doi]

Fuzzy Logic in Recommender SystemsAmita Jain, Charu Gupta. In Oscar Castillo, Patricia Melin, Janusz Kacprzyk, editors, Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Volume 749 of Studies in Computational Intelligence, pages 255-273, Springer, 2018. [doi]

2017

Fuzzy Multi-Criteria Decision Making and Fuzzy Information Gain Based Automotive Recommender SystemCharu Gupta, Amita Jain. nafips 2018: 270-277 [doi]

2004

Time-varying multichirp rate modulation for multiple access systemsHao Shen, Srinivasa Machineni, Charu Gupta, Antonia Papandreou-Suppappola. spl, 11(5):497-500, 2004. [doi]

2003

Wideband chirp modulation for FH-CDMA wireless systems: coherent and non-coherent receiver structuresCharu Gupta, T. Mumtaz, Moushumi Zaman, Antonia Papandreou-Suppappola. icc 2003: 2455-2459 [doi]

2001

Wireless CDMA communications using time-varying signalsCharu Gupta, Antonia Papandreou-Suppappola. isspa 2001: 242-245 [doi]

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