Ranjana Vyas

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 17

Top Topics

Ontology Development

Intrusion Detection System

Hyperspectral Images

Top Venues

Multim. Tools Appl.

Publications

Shardul Shankar, Ranjana Vyas, Vijayshri Tewari
Applying machine learning algorithms to determine and predict the reasons and models for employee turnover. Int. J. Inf. Technol. Manag. 23 (1) (2024)
Kumar Saurabh, Deepak Gajjala, Krishna Kaipa, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP). CoRR (2023)
Ashish Singh Patel, Giovanni Merlino, Antonio Puliafito, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
An NLP-guided ontology development and refinement approach to represent and query visual information. Expert Syst. Appl. 213 (Part) (2023)
Uphar Singh, Yash Hoskere, Nachiket Tapas, Ranjana Vyas, O. P. Vyas
Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models. ICCCNT (2023)
Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha, Vivek Tiwari
Motion-compensated online object tracking for activity detection and crowd behavior analysis. Vis. Comput. 39 (5) (2023)
Akriti Gupta, Aman Chadha, Mayank Kumar, Vijaishri Tewari, Ranjana Vyas
Using Process Enhancement to Predict Organizational Citizenship Behavior via the Role of Sustainable Training Practices. ICCPR (2023)
Harshit Gupta, Tarun Kumar Rajput, Ranjana Vyas, O. P. Vyas, Antonio Puliafito
Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach. ICONIP (7) (2022)
Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. CoRR (2022)
Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. AIIoT (2022)
Uphar Singh, Kumar Saurabh, Neelaksh Trehan, Ranjana Vyas, O. P. Vyas
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study. CoRR (2022)
Bagesh Kumar, Amritansh Mishra, Aayush Talesara, Shubham Kumar, Sourav Dey, O. P. Vyas, Ranjana Vyas
Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques. IC3 (2022)
Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas
Agricultural Plantation Classification using Transfer Learning Approach based on CNN. CoRR (2022)
Ashish Singh Patel, Ranjana Vyas, O. P. Vyas, Muneendra Ojha
A study on video semantics; overview, challenges, and applications. Multim. Tools Appl. 81 (5) (2022)
Ashish Singh Patel, Muneendra Ojha, Monika Rani, Abhinav Khare, O. P. Vyas, Ranjana Vyas
Ontology-Based Multi-agent Smart Bike Sharing System (SBSS). SMARTCOMP (2018)
Artus Krohn-Grimberghe, Akriti Gupta, Aman Chadha, Ranjana Vyas
Cloud computing in optimizing supply chain management of automotive component industry. IML (2017)
Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet. CoRR (2017)
Nidhi Kushwaha, Om Prakash Vyas, Carlo Puliafito, Ranjana Vyas
Towards an Ontology development for automated applications in Smart City environment of SmartME Project. VALUETOOLS (2016)
Ranjana Vyas, Lokesh Kumar Sharma, Om Prakash Vyas, Simon Scheider
Associative Classifiers for Predictive Analytics: Comparative Performance Study. EMS (2008)
Keshri Verma, Om Prakash Vyas, Ranjana Vyas
Temporal Approach to Association Rule Mining Using T-Tree and P-Tree. MLDM (2005)
Lokesh Kumar Sharma, Om Prakash Vyas, Uma Shanker Tiwary, Ranjana Vyas
A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases. MLDM (2005)