Results 111 to 120 of about 62,162 (314)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A neural implementation for nonlinear filtering

ArXiv, 2015
The computational task of continuous-time state estimation, nonlinear filtering and identification, i.e.~parameter learning, poses a class of interesting problems, which mathematicians have been working on for over 50 years and which has received increasing attention in both machine-learning and neuroscience communities.
Kutschireiter Anna, Surace Simone Carlo, Sprekeler Henning, Pfister Jean-Pascal   +3 more
openaire   +2 more sources

Inference of nonlinear state-space models for sandwich-type lateral flow immunoassay using extended Kalman filtering

, 2011
Copyright [2011] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Zeng, N, Liu, X, null Min Du, Wang, Z, null Nianyin Zeng, null Zidong Wang, Li, Y, null Yurong Li, null Xiaohui Liu, Du, M   +9 more
core   +1 more source

Higher order sigma point filter: A new heuristic for nonlinear time series filtering [PDF]

, 2013
In this paper we present some new results related to the higher order sigma point filter (HOSPoF), introduced in [1] for filtering nonlinear multivariate time series. This paper makes two distinct contributions.
Date, P, Ponomareva, K
core   +1 more source

Engineering Strain‐Stiffening Granular Hydrogels for 3D‐Printed Tissue‐Mimicry

Advanced Materials, EarlyView.
A 3D‐printable strain‐stiffening double‐network granular hydrogel (SDGH) enables independent, region‐specific tuning of toe (EToe) and heel (EHeel) moduli through control of microgel packing and network composition. This platform replicates tissue‐like nonlinear mechanics and allows fabrication of high‐fidelity, multilayered aortic valves with ...
Hyeokju Chae, Joohwan Han, Jeong‐Wook Seo, Taehoon Lee, Kihyeon Bae, Yeontaek Lee, Dong Soo Kim, Ikjin Kim, Jin‐Oh Kim, Steve Park   +9 more
wiley   +1 more source

Detecting global financial crises with scarce data by multivariate nonlinear filtering

Journal of Physics: Complexity
An original procedure is devised for the automated detection of global financial crises from multivariate databases of share prices. It consists of: i) the construction of time series from the time-windowed estimations of crisis relevant information ...
Cécile Bastidon, Antoine Parent, Patrice Abry, Pierre Borgnat, Pablo Jensen, Barbara Pascal   +5 more
doaj   +1 more source

Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation

, 2001
Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z, Burnham, KJ
core  

Robust H infty filtering for uncertain differential linear repetitive processes

, 2008
The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length.
Rogers, E, Paszke, W, Wu, L, Lam, J, Galkowski, K   +4 more
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

A Concept of Approximated Densities for Efficient Nonlinear Estimation

EURASIP Journal on Advances in Signal Processing, 2002
This paper presents the theoretical development of a nonlinear adaptive filter based on a concept of filtering by approximated densities (FAD). The most common procedures for nonlinear estimation apply the extended Kalman filter.
Virginie F. Ruiz
doaj   +1 more source