A Web-Based XML Editor. - Sherif A. Elfayoumy; Rahul Shrivastava; Sanjay P. Ahuja (International Conference on Internet Computing, 2004)

Neural modelling of smart antenna array using radial basis function for beam shipping of GSM transmitter. - Rahul Shrivastava; Abhishek Rawat; Yogendra Kumar Jain; Ram Narayan Yadav; S. C. Shrivastava (WOCN, 2012)

DCAFE: Dynamic load-balanced loop Chunking & Aggressive Finish Elimination for Recursive Task Parallel Programs. - Suyash Gupta 001; Rahul Shrivastava; V. Krishna Nandivada (CoRR, 2015)

Optimizing recursive task parallel programs. - Suyash Gupta 001; Rahul Shrivastava; V. Krishna Nandivada (ICS, 2017)

Energy-Efficient Compilation of Irregular Task-Parallel Loops. - Rahul Shrivastava; V. Krishna Nandivada (ACM Trans. Archit. Code Optim., 2017)

A role-entity based human activity recognition using inter-body features and temporal sequence memory. - Rahul Shrivastava; Vivek Tiwari; Swati Jain; Basant Tiwari; Alok Kumar Singh Kushwaha; Vibhav Prakash Singh (IET Image Process., 2022)

An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani; Upendra Roy BP (Pattern Recognit. Lett., 2022)

Utility optimization-based multi-stakeholder personalized recommendation system. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Data Technol. Appl., 2022)

Human Activity Role Identification using Feature Vector and Encoding Techniques on Natural Language Sentences. - Anam Arshad; Vivek Tiwari; Mayank Lovanshi; Rahul Shrivastava (IVSP, 2023)

A Human Body Part Semantic Segmentation Enabled Parsing for Human Pose Estimation. - Aditi Verma; Vivek Tiwari; Mayank Lovanshi; Rahul Shrivastava (IVSP, 2023)

Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Expert Syst. Appl., 2023)

Multi-stakeholder recommendation system through deep learning-based preference evaluation and aggregation model with multi-view information embedding. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Inf. Process. Manag., 2024)

Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Knowl. Inf. Syst., 2024)

QFMNet: Quantum fusion maxout network for brain activity detection using motor imagery of EEG signals. - Seema Pankaj Mahalungkar; Rahul Shrivastava; Sanjeevkumar Angadi (Intell. Decis. Technol., 2025)

Preference-based crossover technique for optimizing conflicting objectives in multi-stakeholders recommendation systems. - Rahul Shrivastava; Dilip Singh Sisodia; Naresh Kumar Nagwani (Inf. Sci., 2025)