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Praphula Kumar Jain
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2020 – today
- 2023
- [j25]Vishnu Vardhana Rao M, Aparna Chaparala, Praphula Kumar Jain, Hanen Karamti, Walid Karamti:
Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique. IEEE Access 11: 26441-26458 (2023) - [j24]Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, Rajendra Pamula:
Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning. Cogn. Comput. 15(5): 1593-1612 (2023) - [j23]Praphula Kumar Jain, Waris Quamer, Rajendra Pamula:
Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j22]Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, Yu-Chen Hu:
Optimized levy flight model for heart disease prediction using CNN framework in big data application. Expert Syst. Appl. 223: 119859 (2023) - [j21]Praphula Kumar Jain, Waris Quamer, Rajendra Pamula, Vijayalakshmi Saravanan:
SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis. J. Ambient Intell. Humaniz. Comput. 14(4): 3091-3108 (2023) - [j20]Praphula Kumar Jain, Waris Quamer, Vijayalakshmi Saravanan, Rajendra Pamula:
Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis. J. Ambient Intell. Humaniz. Comput. 14(8): 10417-10429 (2023) - [j19]Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals. Sensors 23(1): 423 (2023) - [j18]Amit Kumar Singh, Rajendra Pamula, Praphula Kumar Jain, Gautam Srivastava:
An efficient vehicular-relay selection scheme for vehicular communication. Soft Comput. 27(6): 3443-3459 (2023) - [j17]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. Wirel. Pers. Commun. 130(4): 2679-2695 (2023) - [j16]Praphula Kumar Jain, Sandeep Inuganti, Rajendra Pamula:
A Novel Deep Learning Approach to Classify Heartbeats Audio Data. Wirel. Pers. Commun. 132(1): 205-214 (2023) - 2022
- [j15]Praphula Kumar Jain, Mani Shankar Bajpai, Rajendra Pamula:
A modified DBSCAN algorithm for anomaly detection in time-series data with seasonality. Int. Arab J. Inf. Technol. 19(1): 23-28 (2022) - [j14]Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, Ajith Abraham:
Multi-type skin diseases classification using OP-DNN based feature extraction approach. Multim. Tools Appl. 81(5): 6451-6476 (2022) - [j13]Praphula Kumar Jain, Arjav Patel, Saru Kumari, Rajendra Pamula:
Predicting airline customers' recommendations using qualitative and quantitative contents of online reviews. Multim. Tools Appl. 81(5): 6979-6994 (2022) - [j12]Praphula Kumar Jain, Gautam Srivastava, Jerry Chun-Wei Lin, Rajendra Pamula:
Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews. IEEE Trans. Comput. Soc. Syst. 9(6): 1777-1784 (2022) - [j11]Praphula Kumar Jain, Rajendra Pamula, Ephrem Admasu Yekun:
A multi-label ensemble predicting model to service recommendation from social media contents. J. Supercomput. 78(4): 5203-5220 (2022) - [j10]Prasad Velpula, Rajendra Pamula, Praphula Kumar Jain, Amjan Shaik:
Heterogeneous Load Balancing using Predictive Load Summarization. Wirel. Pers. Commun. 125(2): 1075-1093 (2022) - [j9]Prasad Velpula, Rajendra Pamula, Praphula Kumar Jain, Amjan Shaik:
Correction to: Heterogeneous Load Balancing using Predictive Load Summarization. Wirel. Pers. Commun. 125(2): 1095 (2022) - [j8]Pawan Meena, Monti Babulal Pal, Praphula Kumar Jain, Rajendra Pamula:
6G Communication Networks: Introduction, Vision, Challenges, and Future Directions. Wirel. Pers. Commun. 125(2): 1097-1123 (2022) - [j7]Praphula Kumar Jain, Anand Prakash:
Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach. Wirel. Pers. Commun. 125(4): 3443-3460 (2022) - 2021
- [j6]Praphula Kumar Jain, Ephrem Admasu Yekun, Rajendra Pamula, Gautam Srivastava:
Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models. Comput. Electr. Eng. 95: 107397 (2021) - [j5]Praphula Kumar Jain, Rajendra Pamula, Gautam Srivastava:
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. Comput. Sci. Rev. 41: 100413 (2021) - [j4]Waris Quamer, Praphula Kumar Jain, Arpit Rai, Vijayalakshmi Saravanan, Rajendra Pamula, Chiranjeev Kumar:
SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(3): 50:1-50:16 (2021) - [j3]Praphula Kumar Jain, Vijayalakshmi Saravanan, Rajendra Pamula:
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. 20(5): 84:1-84:15 (2021) - [j2]Praphula Kumar Jain, Rajendra Pamula, Sarfraj Ansari:
A Supervised Machine Learning Approach for the Credibility Assessment of User-Generated Content. Wirel. Pers. Commun. 118(4): 2469-2485 (2021) - 2020
- [j1]Siddharth Shukla, Praphula Kumar Jain, Ch. Ramesh Babu, Rajendra Pamula:
A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes. Wirel. Pers. Commun. 113(4): 2447-2461 (2020) - [i1]Praphula Kumar Jain, Rajendra Pamula:
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. CoRR abs/2008.10282 (2020)
2010 – 2019
- 2018
- [c2]Praphula Kumar Jain, Waris Quamer, Rajendra Pamula:
Electricity Consumption Forecasting Using Time Series Analysis. ICACDS (2) 2018: 327-335 - [c1]Pooja Kumari, Praphula Kumar Jain, Rajendra Pamula:
An efficient use of ensemble methods to predict students academic performance. RAIT 2018: 1-6
Coauthor Index
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