Ranjana Vyas

Orcid: 0009-0003-7030-2389

According to our database1, Ranjana Vyas authored at least 20 papers between 2005 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Applying machine learning algorithms to determine and predict the reasons and models for employee turnover.
Int. J. Inf. Technol. Manag., 2024

From Chaos to Clarity: An Object-Centric Process Mining Case Study in Complaint Requisition Management System.
Proceedings of the Best Dissertation Award, 2024

2023
Motion-compensated online object tracking for activity detection and crowd behavior analysis.
Vis. Comput., May, 2023

An NLP-guided ontology development and refinement approach to represent and query visual information.
Expert Syst. Appl., 2023

TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP).
CoRR, 2023

Using Process Enhancement to Predict Organizational Citizenship Behavior via the Role of Sustainable Training Practices.
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.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A study on video semantics; overview, challenges, and applications.
Multim. Tools Appl., 2022

Agricultural Plantation Classification using Transfer Learning Approach based on CNN.
CoRR, 2022

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study.
CoRR, 2022

Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Object Detection for Autonomous Vehicle in Hazy Environment using Optimized Deep Learning Techniques.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2018
Ontology-Based Multi-agent Smart Bike Sharing System (SBSS).
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

2017
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet.
CoRR, 2017

Cloud computing in optimizing supply chain management of automotive component industry.
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.
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2016

2008
Associative Classifiers for Predictive Analytics: Comparative Performance Study.
Proceedings of the EMS 2008, 2008

2005
Temporal Approach to Association Rule Mining Using T-Tree and P-Tree.
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.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005


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