Random Neural Networks for Rough Volatility. [PDF]
Appl Math OptimJacquier A, Žurič Ž.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
Advanced Intelligent Systems, EarlyView.This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Geographically weighted Weibull regression modeling on dissolved oxygen data to analyze river water quality in East Kalimantan. [PDF]
MethodsXSuyitno S +10 more
europepmc +1 more source
A self-normalization and support vector regression based approach for detecting structural change points in time series. [PDF]
PLoS OneXie N.
europepmc +1 more source
Reliability analysis of horseshoe tunnels by radial-based importance sampling method based on complex function displacement solution. [PDF]
PLoS OneRong Y +5 more
europepmc +1 more source
Self-secure feedback control based scheme for ultra-reliable and low-latency communication. [PDF]
PLoS OneYang Z, Wang X, Lu S, Wang J, Yuan H.
europepmc +1 more source
Assessing the effectiveness of the ZICOMP-Shewhart control chart for monitoring zero-inflated processes. [PDF]
Sci RepSattar A +5 more
europepmc +1 more source
Probability in Mathematics: Facing Probability in Everyday Life
, 2012 Sheffet, Malka, Bassan-Cincinatus, Ronit
openaire +1 more source