Research Publications:
International Journals (Published)
Praphula Kumar Jain, Rajendra Pamula, and Gautam Srivastava. ”A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews”, Computer Science Review, Elsevier, SCIE, Impact factor 7.87, 2021.
Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Yu-Chen Hu. ”Optimized levy flight model for heart disease prediction using CNN framework in big data applications”, Expert System with Applications, Elsevier, SCIE, Impact factor 8.66, 2023.
Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula, ”Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning”, Expert Systems, Wiley, SCIE, Impact factor 2.81, 2023.
Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, and Rajendra Pamula ”Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning”,Cognitive Computation, Springer, SCIE, Impact factor 4.89, 2023.
Aparna Chaparala, Praphula Kumar Jain, Hanen Karamti, and Walid Karamti, ”Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique”, IEEE Access, IEEE, SCIE, Impact factor 3.47, 2023.
Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, Ajith Abraham, Lubna Abdelkareim Gabralla ”Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals”, Sensors, MDPI, SCIE, Impact factor 4.05, 2023.
Praphula Kumar Jain, Sandeep Inuganti, and Rajendra Pamula ” A Novel Deep Learning Approach to Classify Heartbeats Audio Data”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 2.017, 2023.
Sandeep Rathor, Subhash Chand Agrawal, Robin Singh Bhadoria, Praphula Kumar Jain, ” Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 2.017, 2023.
Praphula Kumar Jain Gautam Srivastava, Jerry Chun-Wei Lin, and Rajendra Pamula.”Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews”, IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, IEEE, SCIE, Impact factor 4.74, 2022.
Praphula Kumar Jain, Waris Quamer, Rajendra Pamula, and Vijayalakshmi Saravana. ”SpSAN: Sparse SelfAttentive Network based Aspect-aware model for Sentiment Analysis”, Journal of Ambient intelligent and humanized computing , Springer, SCIE, Impact factor 7.10, 2021.
Praphula Kumar Jain, Arjav Patel, Rajendra Pamula, and Saru Kumari.”Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.75.
Praphula Kumar Jain, Waris Quamer, Vijayalakshmi Saravanan, and Rajendra Pamula,”Employing BERTDCNN with Sentic Knowledge Base for Social Media Sentiment Analysis”, Journal of Ambient intelligent and humanized, Springer, SCIE, Impact factor 7.10, 2022.
Praphula Kumar Jain, Vijayalakshmi Saravana, and Rajendra Pamula. ”A Hybrid CNN-LSTM: A Deep learning approach in explaining consumer sentiment by qualitative user generated contents”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.41, 2021.
Praphula Kumar Jain, Ephrem Admasu Yekun, and Rajendra Pamula,”Predicting Consumer Recommendations Decisions from social media contents using Multi-Label Ensemble Model”, Journal of Supercomputing, Springer, SCIE, Impact factor 2.47.
Praphula Kumar Jain, Ephrem Admasu Yekun, Rajendra Pamula, Gautam Srivastava Amjan Shaik. ”Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models”, Computers & Electrical Engineering, Elsevier, SCIE, Impact factor 3.81, 2021.
Praphula Kumar Jain, Rajendra Pamula, and Sarfraj Ansari. ”A Supervised machine learning approach for the Credibility Assessment of User-Generated Content”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2021.
Praphula Kumar Jain, Mani Shankar Bajpai, and Rajendra Pamula. ”A Modified DBSCAN Algorithm for Anomaly Detection in Time-series Data with Seasonality”, International Arab Journal of Information Technology, CCIS, SCIE, Impact factor 0.667, 2021.
Shiddharth Shukla, Praphula Kumar Jain, Ch Ramesh Babu, and Rajendra Pamula. ”A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2020.
Praphula Kumar Jain, Waris Quamer, Arpit Rai, Vijayalakshmi Saravana, Rajendra Pamula, and Chiranjeev Kumar. ”SACNN : Self-Attentive Convolutional Neural Network Model for Natural Language Inference”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.41, 2020.
Amit Singh, Rajendra Pamula, Praphula Kumar Jain, and Gautam Srivastava.”The Best-Choice VehicularRelay Selection Scheme for V2V and V2I Transmission”, Soft Computing, Springer, SCIE, Impact factor 3.64, 2021.
Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Ajith Abraham. ”Multi-type skin diseases Classification using OP-DNN based feature extraction approach”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.757.
Praphula Kumar Jain and Anand Prakash. ”Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.
Prasad Velpula, Rajendra Pamula, Praphula Kumar Jain, Amjan Shaik. ”Heterogeneous Load Balancing using Predictive Load Summarization”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.
Pawan Meena, Monti Babulal Pal, Praphula Kumar Jain, Rajendra Pamula ”6G Communication Networks: Introduction, Vision, Challenges, and Future Directions”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.
Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Sports result prediction using data mining techniques in comparison with base line model”, OPSEARCH, Springer, ESCI & Scopus, Impact factor -.–, 2020.
Praphula Kumar Jain, Madhur Jain, and Rajendra Pamula. ”Explaining and predicting employees’ attrition: a machine learning approach”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2020.
Prabjot Kaur, Praphula Kumar Jain, Amit Singh, Nishant Kumar. ”Indian citizens sentiment classification on Citizenship Amendment Act 2019”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2023.
International Conferences
Praphula Kumar Jain, Dilip Sharma, Lakshmibai Maddala, and Rajendra Pamula. ”Airline recommendation prediction using customer generated feedback data”, 4th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.
Lakshmibai Maddala, Praphula Kumar Jain, and Rajendra Pamula. ”Tourist Recommender System using Hybrid Filtering”, 4th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.
Kumari Pooja, Praphula Kumar Jain, and Rajendra Pamula. ”An efficient use of ensemble methods to predict students academic performance”, 4th International Conference on Recent Advances in Information Technology (RAIT), IEEE, 2018.
Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.
Praphula Kumar Jain, and Rajendra Pamula. ”Two step anomaly detection approach using clustering algorithm”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.
Gaurav Mishra, Shubham Agarwal, Praphula Kumar Jain, and Rajendra Pamula. ”Outlier detection using subset formation of clustering based method”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.
Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.
Book Chapters
Praphula Kumar Jain, and Rajendra Pamula. ”Content-Based Airline Recommendation Prediction Using Machine Learning Techniques”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.
Praphula Kumar Jain, and Rajendra Pamula. ”Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.
Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Electricity consumption forecasting using time series analysis”, International Conference on Advances in Computing and Data Science, Scopus, 2018.
