Results 71 to 80 of about 93,147 (298)

Dynamical system analysis and forecasting of deformation produced by an earthquake fault

, 2003
We present a method of constructing low-dimensional nonlinear models describing the main dynamical features of a discrete 2D cellular fault zone, with many degrees of freedom, embedded in a 3D elastic solid. A given fault system is characterized by a set
A Fraser, CG Sammis, DS Fisher, G Boffetta, H Kantz, I Gilmour, IH Abarbaneld, J Theiler, JB Rundle, L Smith, M Anghel, M Chinnery, M Manneville, N Lorenze, P Grassberger, P Holmes, R Burgmann, R Hegger, R Madariaga, R Ricomartinez, R Ricomartinez, S Haykin, SG Wesnousky, T Sauer, Y Ben-Zion, Y Ben-Zion, Y Ben-Zion, Y Ben-Zion, Y Ben-Zion, Y Okada   +29 more
core   +1 more source

Subspace Expanders and Matrix Rank Minimization [PDF]

, 2011
Matrix rank minimization (RM) problems recently gained extensive attention due to numerous applications in machine learning, system identification and graphical models.
Hassibi, Babak, Khajehnejad, Amin, Oymak, Samet   +2 more
core   +2 more sources

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Unsupervised Locality-Preserving Robust Latent Low-Rank Recovery-Based Subspace Clustering for Fault Diagnosis

IEEE Access, 2018
With the increasing demand for unsupervised learning for fault diagnosis, the subspace clustering has been considered as a promising technique enabling unsupervised fault diagnosis. Although various subspace clustering methods have been developed to deal
Jie Gao, Myeongsu Kang, Jing Tian, Lifeng Wu, Michael Pecht   +4 more
doaj   +1 more source

The Shareholders’ Derivative-Claim Exception to the Attorney-Client Privilege [PDF]

, 1985
The use of an over-parametrized state-space model for system identification has some clear advantages: A single model structure covers the entire class of multivariable systems up to a given order.
Helmersson, Anders, McKelvey, Tomas
core   +1 more source

Cdma blind channel equalization: a weighted subsface a proach [PDF]

, 1999
This paper considers the problem of blind demodulation of multiuser information symbols in a direct-sequence code-division multiple access (DS-CDMA) environment. Channel estimation and symbol detection in the presence of both multiple access interference
Cabrera-Bean, Margarita, Ruiz Feliu, Rafael   +1 more
core   +1 more source

Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries

Advanced Energy Materials, EarlyView.
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher, Katarzyna P. Sokol, Philipp Simons, Kun Joong Kim, Michael Foshey, Yunsheng Tian, Thorben Prein, Lincoln J. Miara, Elsa Olivetti, Wojciech Matusik, Jennifer L. M. Rupp   +10 more
wiley   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Sequence‐Encoded Frustration Directs the Formation of Abridged G‐Quadruplex Architectures

Angewandte Chemie, EarlyView.
Programmable frustration reshapes the free‐energy surface (FES) of guanine‐quadruplex (G4) folding, stabilizing an abridged G4 and a G‐triplex intermediate. ABSTRACT Frustration—competing interactions that cannot be simultaneously optimized—shapes energy landscapes in proteins and soft matter, but has rarely been exploited as a programmable design ...
Yuncheng Qian, Mohamed Y. Ali, Andreas I. Karsisiotis, Paul Dillon, Scarlett A. Dvorkin, Peter A. C. McPherson, Mateus Webba da Silva   +6 more
wiley   +2 more sources

Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems

IEEE Access
This paper presents a novel system identification algorithm for linear periodically time-varying (LPTV) plants within a discrete-time framework. The algorithm integrates a cyclic reformulation with a state coordinate transformation of the cycled system ...
Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku, Haruto Kondo   +3 more
doaj   +1 more source