Praphula Kumar Jain

Orcid: 0000-0001-7651-4444

According to our database1, Praphula Kumar Jain authored at least 28 papers between 2018 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Novel Deep Learning Approach to Classify Heartbeats Audio Data.
Wirel. Pers. Commun., September, 2023

Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning.
Cogn. Comput., September, 2023

Optimized levy flight model for heart disease prediction using CNN framework in big data application.
Expert Syst. Appl., August, 2023

Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning.
Expert Syst. J. Knowl. Eng., May, 2023

An efficient vehicular-relay selection scheme for vehicular communication.
Soft Comput., March, 2023

Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time.
Wirel. Pers. Commun., 2023

Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals.
Sensors, 2023

Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis.
J. Ambient Intell. Humaniz. Comput., 2023

SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis.
J. Ambient Intell. Humaniz. Comput., 2023

Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique.
IEEE Access, 2023

2022
Correction to: Heterogeneous Load Balancing using Predictive Load Summarization.
Wirel. Pers. Commun., 2022

Heterogeneous Load Balancing using Predictive Load Summarization.
Wirel. Pers. Commun., 2022

6G Communication Networks: Introduction, Vision, Challenges, and Future Directions.
Wirel. Pers. Commun., 2022

Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach.
Wirel. Pers. Commun., 2022

A multi-label ensemble predicting model to service recommendation from social media contents.
J. Supercomput., 2022

Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews.
IEEE Trans. Comput. Soc. Syst., 2022

Multi-type skin diseases classification using OP-DNN based feature extraction approach.
Multim. Tools Appl., 2022

Predicting airline customers' recommendations using qualitative and quantitative contents of online reviews.
Multim. Tools Appl., 2022

A modified DBSCAN algorithm for anomaly detection in time-series data with seasonality.
Int. Arab J. Inf. Technol., 2022

2021
A Supervised Machine Learning Approach for the Credibility Assessment of User-Generated Content.
Wirel. Pers. Commun., 2021

SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews.
Comput. Sci. Rev., 2021

Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models.
Comput. Electr. Eng., 2021

2020
A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes.
Wirel. Pers. Commun., 2020

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews.
CoRR, 2020

2018
An efficient use of ensemble methods to predict students academic performance.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

Electricity Consumption Forecasting Using Time Series Analysis.
Proceedings of the Advances in Computing and Data Science, 2018


  Loading...