1 citations · 1 across the 4 of their papers we have counts for
8 papers
A Data-driven Deep Learning Approach for Bitcoin Price Forecasting
Parth Daxesh Modi, Kamyar Arshi, Pertami J. Kunz +1
Bitcoin as a cryptocurrency has been one of the most important digital coins and the first decentralized digital currency. Deep neural networks, on the other hand, has shown promis…
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers
Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir
To alleviate the bias generated by the l1-norm in the low-rank tensor completion problem, nonconvex surrogates/regularizers have been suggested to replace the tensor nuclear norm,…
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer
Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir
This paper presents a novel loss function referred to as hybrid ordinary-Welsch (HOW) and a new sparsity-inducing regularizer associated with HOW. We theoretically show that the re…
Radiation Hardness of MALTA2 Monolithic CMOS Sensors on Czochralski Substrates
Milou van Rijnbach, Dumitru Vlad Berlea, Valerio Dao +26
MALTA2 is the latest full-scale prototype of the MALTA family of Depleted Monolithic Active Pixel Sensors (DMAPS) produced in Tower Semiconductor 180 nm CMOS technology. In order t…
Identifying the Complete Correlation Structure in Large-Scale High-Dimensional Data Sets with Local False Discovery Rates
Martin Gölz, Tanuj Hasija, Michael Muma +1
The identification of the dependent components in multiple data sets is a fundamental problem in many practical applications. The challenge in these applications is that often the…
Development of novel low-mass module concepts based on MALTA monolithic pixel sensors
J Weick, F Dachs, P Riedler +13
The MALTA CMOS monolithic silicon pixel sensors has been developed in the Tower 180 nm CMOS imaging process. It includes an asynchronous readout scheme and complies with the ATLAS…