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 (MLDM, 2005)

Temporal Approach to Association Rule Mining Using T-Tree and P-Tree. - Keshri Verma; Om Prakash Vyas; Ranjana Vyas (MLDM, 2005)

Associative Classifiers for Predictive Analytics: Comparative Performance Study. - Ranjana Vyas; Lokesh Kumar Sharma; Om Prakash Vyas; Simon Scheider (EMS, 2008)

Towards an Ontology development for automated applications in Smart City environment of SmartME Project. - Nidhi Kushwaha; Om Prakash Vyas; Carlo Puliafito; Ranjana Vyas (VALUETOOLS, 2016)

Cloud computing in optimizing supply chain management of automotive component industry. - Artus Krohn-Grimberghe; Akriti Gupta; Aman Chadha; Ranjana Vyas (IML, 2017)

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet. - Naimish Agarwal; Artus Krohn-Grimberghe; Ranjana Vyas (CoRR, 2017)

Ontology-Based Multi-agent Smart Bike Sharing System (SBSS). - Ashish Singh Patel; Muneendra Ojha; Monika Rani; Abhinav Khare; O. P. Vyas 001; Ranjana Vyas (SMARTCOMP, 2018)

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 001; Rahamatullah Khondoker (AIIoT, 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 001; Ranjana Vyas (IC3, 2022)

Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach. - Harshit Gupta; Tarun Kumar Rajput; Ranjana Vyas; O. P. Vyas 001; Antonio Puliafito (ICONIP (7), 2022)

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study. - Uphar Singh; Kumar Saurabh; Neelaksh Trehan; Ranjana Vyas; O. P. Vyas 001 (CoRR, 2022)

Agricultural Plantation Classification using Transfer Learning Approach based on CNN. - Uphar Singh; Tushar Musale; Ranjana Vyas; O. P. Vyas 001 (CoRR, 2022)

A study on video semantics; overview, challenges, and applications. - Ashish Singh Patel; Ranjana Vyas; O. P. Vyas 001; Muneendra Ojha (Multim. Tools Appl., 2022)

Evaluating the Effectiveness of Multi-Filtering Techniques on Comprehensibility Improvement of Spaghetti Models. - Uphar Singh; Yash Hoskere; Nachiket Tapas; Ranjana Vyas; O. P. Vyas 001 (ICCCNT, 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 (ICCPR, 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 001; Rahamatullah Khondoker (CoRR, 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 001; Muneendra Ojha; Vivek Tiwari (Expert Syst. Appl., 2023)

Motion-compensated online object tracking for activity detection and crowd behavior analysis. - Ashish Singh Patel; Ranjana Vyas; O. P. Vyas 001; Muneendra Ojha; Vivek Tiwari (Vis. Comput., 2023)

From Chaos to Clarity: An Object-Centric Process Mining Case Study in Complaint Requisition Management System. - Anukriti Tripathi; Ayush Raj; Himanshu Singla; Rohini Nandan; Ranjana Vyas; O. P. Vyas 001 (BPM (Demos / Resources Forum), 2024)

SGridNet: An Efficient and Optimize Bagging Deep Learning for Intrusion Detection in Smart Grid Networks. - Pranav Sahu; O. P. Vyas 001; Ranjana Vyas (ICCCNT, 2024)

Optimizing Hyperparameters of Deep Learning Models for Stock Price Prediction. - Uphar Singh; Sanghmitra Tamrakar; Kumar Saurabh; Ranjana Vyas; O. P. Vyas 001 (ICCCNT, 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)