16 citations · 32 across the 8 of their papers we have counts for
11 papers
Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR
Jyotirmay Nag Setu, Joshua M Le, Ripan Kumar Kundu +5
Virtual Reality (VR) is quickly establishing itself in various industries, including training, education, medicine, and entertainment, in which users are frequently required to car…
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning
Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam +1
Cybersickness can be characterized by nausea, vertigo, headache, eye strain, and other discomforts when using virtual reality (VR) systems. The previously reported machine learning…
Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments
Samaikya Valluripally, Vaibhav Akashe, Michael Fisher +3
Social virtual reality learning environments (VRLEs) provide immersive experience to users with increased accessibility to remote learning. Lack of maintaining high-performance and…
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)
Gautam Raj Mode, Khaza Anuarul Hoque
In manufacturing, unexpected failures are considered a primary operational risk, as they can hinder productivity and can incur huge losses. State-of-the-art Prognostics and Health…
Adversarial Examples in Deep Learning for Multivariate Time Series Regression
Gautam Raj Mode, Khaza Anuarul Hoque
Multivariate time series (MTS) regression tasks are common in many real-world data mining applications including finance, cybersecurity, energy, healthcare, prognostics, and many o…