Rahul Katarya

Orcid: 0000-0001-7763-291X

According to our database1, Rahul Katarya authored at least 43 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TL-BILSTM IoT: transfer learning model for prediction of intrusion detection system in IoT environment.
Int. J. Inf. Sec., April, 2024

A computational approach towards food-wine recommendations.
Expert Syst. Appl., March, 2024

Hate speech, toxicity detection in online social media: a recent survey of state of the art and opportunities.
Int. J. Inf. Sec., February, 2024

2023
A deep-SIQRV epidemic model for COVID-19 to access the impact of prevention and control measures.
Comput. Biol. Chem., December, 2023

Deep auto encoder based on a transient search capsule network for student performance prediction.
Multim. Tools Appl., June, 2023

Opinion Leaders for Information Diffusion Using Graph Neural Network in Online Social Networks.
ACM Trans. Web, May, 2023

Towards the significance of taxi recommender systems in smart cities.
Concurr. Comput. Pract. Exp., January, 2023

A novel approach to alleviate data sparsity and generate dynamic fruit recommendations from point-of-sale data.
Concurr. Comput. Pract. Exp., January, 2023

A Systematic Review on Predicting the Performance of Students in Higher Education in Offline Mode Using Machine Learning Techniques.
Wirel. Pers. Commun., 2023

Semantic segmentation in medical images through transfused convolution and transformer networks.
Appl. Intell., 2023

An enhanced hybrid model paradigm for transforming breast cancer prediction.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

Emerging Trends in Chatbot Development : A Recent Survey of Design, Development and Deployment.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Cross-Lingual Sentiment Analysis in Deep Learning: A Comparative Study of Multilingual Approaches.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection.
Expert Syst. Appl., November, 2022

Enhancing the wine tasting experience using greedy clustering wine recommender system.
Multim. Tools Appl., 2022

Deep embedding for mental health content on social media using vector space model with feature clusters.
Concurr. Comput. Pract. Exp., 2022

hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost.
Biomed. Signal Process. Control., 2022

Fake News Detection System Using Featured-Based Optimized MSVM Classification.
IEEE Access, 2022

Human Augmentation Technology- A Cybersecurity Review for Widespread Adoption.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

District Level Covid Case Prediction using LSTM Models.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Automated News Summarization Using Transformers.
CoRR, 2021

Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech.
CoRR, 2021

Analysis of Online Toxicity Detection Using Machine Learning Approaches.
CoRR, 2021

Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media.
CoRR, 2021

PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning.
Comput. Biol. Medicine, 2021

CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients.
Appl. Soft Comput., 2021

InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray.
Appl. Soft Comput., 2021

Impact of Meteorological Parameters on COVID-19 Outbreak Using Machine Learning Techniques.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020
Capsmf: a novel product recommender system using deep learning based text analysis model.
Multim. Tools Appl., 2020

Recognition of opinion leaders coalitions in online social network using game theory.
Knowl. Based Syst., 2020

Social media based surveillance systems for healthcare using machine learning: A systematic review.
J. Biomed. Informatics, 2020

Opinion leader detection using whale optimization algorithm in online social network.
Expert Syst. Appl., 2020

Similarity-based Distance for Categorical Clustering using Space Structure.
CoRR, 2020

2019
Discover opinion leader in online social network using firefly algorithm.
Expert Syst. Appl., 2019

Role of Opinion Leader for the diffusion of products using Epidemic model in Online Social Network.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2018
Recommender system with grey wolf optimizer and FCM.
Neural Comput. Appl., 2018

Movie recommender system with metaheuristic artificial bee.
Neural Comput. Appl., 2018

Efficient music recommender system using context graph and particle swarm.
Multim. Tools Appl., 2018

2017
Effectual recommendations using artificial algae algorithm and fuzzy c-mean.
Swarm Evol. Comput., 2017

An effective web page recommender system with fuzzy c-mean clustering.
Multim. Tools Appl., 2017

Privacy-Preserving and Secure Recommender System Enhance with K-NN and Social Tagging.
Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

2016
A collaborative recommender system enhanced with particle swarm optimization technique.
Multim. Tools Appl., 2016

2014
Secure code assignment to alphabets using modified ant colony optimization along with compression.
Proceedings of the 2014 International Conference on Advances in Computing, 2014


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