Raghav Mittal

Orcid: 0000-0002-8624-2187

According to our database1, Raghav Mittal authored at least 13 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An inventory-aware and revenue-based itemset placement framework for retail stores.
Expert Syst. Appl., April, 2023

A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Requirements Elicitation for Virtual Reality Products - A Mapping Study.
Proceedings of the 16th Innovations in Software Engineering Conference, 2023

2022
A framework for itemset placement with diversification for retail businesses.
Appl. Intell., 2022

Towards Conducting Effective Locomotion Through Hardware Transformation in Head-Mounted-Device - A Review Study.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Customizable Head-mounted Device for Detection of Eye Disorders using Virtual Reality.
Proceedings of the 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems, 2022

A Role Based Model Template for Specifying Virtual Reality Software.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Enhancing Configurable Limitless Paths in Virtual Reality Environments.
Proceedings of the ISEC 2022: 15th Innovations in Software Engineering Conference, Gandhinagar, India, February 24, 2022

A Market Segmentation Aware Retail Itemset Placement Framework.
Proceedings of the Database and Expert Systems Applications, 2022

2021
A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining.
IEEE Access, 2021

Designing Limitless Path in Virtual Reality Environment.
Proceedings of the Virtual, Augmented and Mixed Reality, 2021

PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores.
Proceedings of the Database and Expert Systems Applications, 2021


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