most citedA Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL20211 cited

Named Entity Recognition in Unstructured Medical Text Documents

Cole Pearson, Naeem Seliya, Rushit Dave

Physicians provide expert opinion to legal courts on the medical state of patients, including determining if a patient is likely to have permanent or non-permanent injuries or ailm…

cs.LG20211 cited

Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft

Nyle Siddiqui, Rushit Dave, Naeem Seliya

Mouse dynamics has grown in popularity as a novel irreproducible behavioral biometric. Datasets which contain general unrestricted mouse movements from users are sparse in the curr…

cs.CR20214 cited

A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods

Sam Strecker, Rushit Dave, Nyle Siddiqui +1

Modern scientific advancements often contribute to the introduction and refinement of never-before-seen technologies. This can be quite the task for humans to maintain and monitor…

cs.LG2021

Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection

Joseph M. Ackerson, Dave Rushit, Seliya Jim

Recurrent Neural Networks are powerful machine learning frameworks that allow for data to be saved and referenced in a temporal sequence. This opens many new possibilities in field…

cs.CR20211 cited

IoT Security and Authentication schemes Based on Machine Learning: Review

Rushit Dave

With the latest developments in technology, extra and extra human beings depend on their private gadgets to keep their touchy information. Concurrently, the surroundings in which t…

cs.SD2021

Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes

Owen Casey, Rushit Dave, Naeem Seliya +1

In this paper machine learning networks are explored for their use in restoring degraded and compressed speech audio. The project intent is to build a new trained model from voice…