14 citations · 22 across the 8 of their papers we have counts for
8 papers
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang, Bryce Turney, Purushottam Sigdel +11
Accurate and timely regional weather prediction is vital for sectors dependent on weather-related decisions. Traditional prediction methods, based on atmospheric equations, often s…
Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing
Faeze S. Banitaba, Sercan Aygun, M. Hassan Najafi
In neural network (NN) security, safeguarding model integrity and resilience against adversarial attacks has become paramount. This study investigates the application of stochastic…
Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures
Sercan Aygun, M. Hassan Najafi
Hyperdimensional computing (HDC) is an emerging computing paradigm with significant promise for efficient and robust learning. In HDC, objects are encoded with high-dimensional vec…
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing
Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi
Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-str…
Sorting it out in Hardware: A State-of-the-Art Survey
Amir Hossein Jalilvand, Faeze S. Banitaba, Seyedeh Newsha Estiri +2
Sorting is a fundamental operation in various applications and a traditional research topic in computer science. Improving the performance of sorting operations can have a signific…
P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing
Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam +1
Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend…