Electricity Consumption Forecasting Using Time Series Analysis. - Praphula Kumar Jain; Waris Quamer; Rajendra Pamula (ICACDS (2), 2018)

An efficient use of ensemble methods to predict students academic performance. - Pooja Kumari; Praphula Kumar Jain; Rajendra Pamula (RAIT, 2018)

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. - Praphula Kumar Jain; Rajendra Pamula (CoRR, 2020)

A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes. - Siddharth Shukla; Praphula Kumar Jain; Ch. Ramesh Babu; Rajendra Pamula (Wirel. Pers. Commun., 2020)

Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models. - Praphula Kumar Jain; Ephrem Admasu Yekun; Rajendra Pamula; Gautam Srivastava 001 (Comput. Electr. Eng., 2021)

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. - Praphula Kumar Jain; Rajendra Pamula; Gautam Srivastava 001 (Comput. Sci. Rev., 2021)

A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents. - Praphula Kumar Jain; Vijayalakshmi Saravanan; Rajendra Pamula (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference. - Waris Quamer; Praphula Kumar Jain; Arpit Rai; Vijayalakshmi Saravanan; Rajendra Pamula; Chiranjeev Kumar (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

A Supervised Machine Learning Approach for the Credibility Assessment of User-Generated Content. - Praphula Kumar Jain; Rajendra Pamula; Sarfraj Ansari (Wirel. Pers. Commun., 2021)

A modified DBSCAN algorithm for anomaly detection in time-series data with seasonality. - Praphula Kumar Jain; Mani Shankar Bajpai; Rajendra Pamula (Int. Arab J. Inf. Technol., 2022)

Predicting airline customers' recommendations using qualitative and quantitative contents of online reviews. - Praphula Kumar Jain; Arjav Patel; Saru Kumari; Rajendra Pamula (Multim. Tools Appl., 2022)

Multi-type skin diseases classification using OP-DNN based feature extraction approach. - Arushi Jain; Annavarapu Chandra Sekhara Rao; Praphula Kumar Jain; Ajith Abraham (Multim. Tools Appl., 2022)

Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews. - Praphula Kumar Jain; Gautam Srivastava 001; Jerry Chun-Wei Lin; Rajendra Pamula (IEEE Trans. Comput. Soc. Syst., 2022)

A multi-label ensemble predicting model to service recommendation from social media contents. - Praphula Kumar Jain; Rajendra Pamula; Ephrem Admasu Yekun (J. Supercomput., 2022)

Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach. - Praphula Kumar Jain; Anand Prakash (Wirel. Pers. Commun., 2022)

6G Communication Networks: Introduction, Vision, Challenges, and Future Directions. - Pawan Meena; Monti Babulal Pal; Praphula Kumar Jain; Rajendra Pamula (Wirel. Pers. Commun., 2022)

Heterogeneous Load Balancing using Predictive Load Summarization. - Prasad Velpula; Rajendra Pamula; Praphula Kumar Jain; Amjan Shaik (Wirel. Pers. Commun., 2022)

Correction to: Heterogeneous Load Balancing using Predictive Load Summarization. - Prasad Velpula; Rajendra Pamula; Praphula Kumar Jain; Amjan Shaik (Wirel. Pers. Commun., 2022)

Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique. - Vishnu Vardhana Rao M; Aparna Chaparala; Praphula Kumar Jain; Hanen Karamti; Walid Karamti (IEEE Access, 2023)

SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis. - Praphula Kumar Jain; Waris Quamer; Rajendra Pamula; Vijayalakshmi Saravanan (J. Ambient Intell. Humaniz. Comput., 2023)

Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis. - Praphula Kumar Jain; Waris Quamer; Vijayalakshmi Saravanan; Rajendra Pamula (J. Ambient Intell. Humaniz. Comput., 2023)

Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals. - Bhaskar Kapoor; Bharti Nagpal; Praphula Kumar Jain; Ajith Abraham; Lubna Abdel Kareim Gabralla (Sensors, 2023)

Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time. - Sandeep Rathor; Subhash Chand Agrawal; Robin Singh Bhadoria; Praphula Kumar Jain (Wirel. Pers. Commun., 2023)

An efficient vehicular-relay selection scheme for vehicular communication. - Amit Kumar Singh 001; Rajendra Pamula; Praphula Kumar Jain; Gautam Srivastava 001 (Soft Comput., 2023)

Optimized levy flight model for heart disease prediction using CNN framework in big data application. - Arushi Jain; Annavarapu Chandra Sekhara Rao; Praphula Kumar Jain; Yu-Chen Hu (Expert Syst. Appl., 2023)

Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning. - Dilli Babu Salvakkam; Vijayalakshmi Saravanan; Praphula Kumar Jain; Rajendra Pamula (Cogn. Comput., 2023)

A Novel Deep Learning Approach to Classify Heartbeats Audio Data. - Praphula Kumar Jain; Sandeep Inuganti; Rajendra Pamula (Wirel. Pers. Commun., 2023)

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS. - Amit Singh; Jay Prakash; Gaurav Kumar; Praphula Kumar Jain; Loknath Sai Ambati (J. Database Manag., 2023)