Results 31 to 40 of about 5,062,277 (278)
AVATAR: NN-Assisted Variation Aware Timing Analysis and Reporting for Hardware Trojan Detection
IEEE Access, 2021 This paper presents AVATAR, a learning-assisted Trojan testing flow to detect hardware Trojans placed into fabricated ICs at an untrusted foundry, without needing a Golden IC.
Ashkan Vakil +4 more
doaj +1 more source
Regular variation of GARCH processes [PDF]
Stochastic Processes and their Applications, 2002 We show that the finite-dimensional distributions of a GARCH process are regularly varying, i.e., the tails of these distributions are Pareto-like and hence heavy-tailed. Regular variation of the joint distributions provides insight into the moment properties of the process as well as the dependence structure between neighboring observations when both ...
Basrak, Bojan +2 more
openaire +3 more sources
An In-Memory-Computing Binary Neural Network Architecture With In-Memory Batch Normalization
IEEE AccessThis paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input activations for the intermediate layers.
Prathamesh Prashant Rege +4 more
doaj +1 more source
Evidence of ratchet effect in nanowires of a conducting polymer [PDF]
, 2005 Ratchet effect, observed in many systems starting from living organism to artificially designed device, is a manifestation of motion in asymmetric potential.
A. De +9 more
core +2 more sources
IEEE Access, 2020 In-memory computing (IMC) is a promising approach for energy cost reduction due to data movement between memory and processor for running data-intensive deep learning applications on the computing systems.
Gobinda Saha +5 more
doaj +1 more source
Accelerated Variational Dirichlet Process Mixtures [PDF]
, 2007 Dirichlet Process (DP) mixture models are promising candidates for clustering applications where the number of clusters is unknown a priori. Due to computational considerations these models are unfortunately unsuitable for large scale data-mining applications.
Kurihara, K., Welling, M., Vlassis, N.
openaire +3 more sources
Yield improvement using configurable analogue transistors (CATs) [PDF]
, 2008 Continued process scaling has led to significant yield and reliability challenges for today’s designers. Analogue circuits are particularly susceptible to poor variation, driving the need for new yield resilient techniques in this area.
Bernstein +5 more
core +1 more source
Sensors, 2019 With the rise of the Internet of Things (IoT) and the ever-increasing number of integrated sensors, the question of powering these devices represents an additional challenge.
Mathieu Gratuze +2 more
doaj +1 more source
Variational perturbation theory for Markov processes [PDF]
Physical Review E, 2002 Author Information under http://www.physik.fu-berlin.de/~kleinert/institution.html Latest update of paper also at http://www.physik.fu-berlin.de/~kleinert ...
Kleinert, Hagen +2 more
openaire +3 more sources
A Stochastic Decoder for Neural Machine Translation [PDF]
, 2018 The process of translation is ambiguous, in that there are typically many valid trans- lations for a given sentence. This gives rise to significant variation in parallel cor- pora, however, most current models of machine translation do not account for ...
Aziz, Wilker +2 more
core +2 more sources