Ranjana Vyas

According to our database, Ranjana Vyas authored at least 19 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Applying machine learning algorithms to determine and predict the reasons and models for employee turnover.

Shardul Shankar, Ranjana Vyas, Vijayshri Tewari

Int. J. Inf. Technol. Manag., 2024

2023

Motion-compensated online object tracking for activity detection and crowd behavior analysis.

Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari

Vis. Comput., May, 2023

An NLP-guided ontology development and refinement approach to represent and query visual information.

Ashish Singh Patel, Giovanni Merlino, Antonio Puliafito, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari

Expert Syst. Appl., 2023

TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP).

Kumar Saurabh, Deepak Gajjala, Krishna Kaipa, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker

CoRR, 2023

Using Process Enhancement to Predict Organizational Citizenship Behavior via the Role of Sustainable Training Practices.

Akriti Gupta, Aman Chadha, Mayank Kumar, Vijaishri Tewari, Ranjana Vyas

Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models.

Uphar Singh, Yash Hoskere, Nachiket Tapas, Ranjana Vyas, O. P. Vyas

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

A study on video semantics; overview, challenges, and applications.

Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha

Multim. Tools Appl., 2022

Agricultural Plantation Classification using Transfer Learning Approach based on CNN.

Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas

CoRR, 2022

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study.

Uphar Singh, Kumar Saurabh, Neelaksh Trehan, Ranjana Vyas, O. P. Vyas

CoRR, 2022

Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach.

Harshit Gupta, Tarun Kumar Rajput, Ranjana Vyas, O. P. Vyas, Antonio Puliafito

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques.

Bagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas, Ranjana Vyas

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks.

Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2018

Ontology-Based Multi-agent Smart Bike Sharing System (SBSS).

Ashish Singh Patel, Muneendra Ojha, Monika Rani, Abhinav Khare, O. P. Vyas, Ranjana Vyas

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

2017

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet.

Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas

CoRR, 2017

Cloud computing in optimizing supply chain management of automotive component industry.

Artus Krohn-Grimberghe, Akriti Gupta, Aman Chadha, Ranjana Vyas

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

2016

Towards an Ontology development for automated applications in Smart City environment of SmartME Project.

Nidhi Kushwaha, Om Prakash Vyas, Carlo Puliafito, Ranjana Vyas

Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2016

2008

Associative Classifiers for Predictive Analytics: Comparative Performance Study.

Ranjana Vyas, Lokesh Kumar Sharma, Om Prakash Vyas, Simon Scheider

Proceedings of the EMS 2008, 2008

2005

Temporal Approach to Association Rule Mining Using T-Tree and P-Tree.

Keshri Verma, Om Prakash Vyas, Ranjana Vyas

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases.

Lokesh Kumar Sharma, Om Prakash Vyas, Uma Shanker Tiwary, Ranjana Vyas

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005