Results 101 to 110 of about 2,583,502 (287)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Tracking Modal Parameters of Structures Online Using Recursive Stochastic Subspace Identification under Ambient Excitations

Buildings
Continuous and autonomous system identification is an alternative to regular inspection during operations, which is essential for structural integrity management (SIM) as well as structural health monitoring (SHM).
Shieh-Kung Huang, Jin-Quan Chen, Yuan-Tao Weng, Jae-Do Kang   +3 more
doaj   +1 more source

Towards Human‐Centered Intelligent Inhabitable Spaces: A Review

Advanced Intelligent Systems, EarlyView.
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar, Ge Lv, Keith E. Green, Ian D. Walker   +3 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

On structural controllability in complex networks with periodic switching topologies

Asian Journal of Control, EarlyView.
Abstract This paper investigates the structural controllability of complex networks with periodic switching topologies. First, several graph transformations that preserve structural controllability are demonstrated. Based on the n‐walk theory, a criterion is derived that determines structural controllability by analyzing only the joint graph within a ...
Jingrui Hou, Zhaohui Liu, Xinghuo Yu, Mahdi Jalili   +3 more
wiley   +1 more source

Matched direction detectors and estimators for array processing with subspace steering vector uncertainties [PDF]

, 2005
In this paper, we consider the problem of estimating and detecting a signal whose associated spatial signature is known to lie in a given linear subspace but whose coordinates in this subspace are otherwise unknown, in the presence of subspace ...
Besson, Olivier, Scharf, Louis, Vincent, François   +2 more
core  

Principal Component‐Based Classification of Blazar Candidates of Uncertain Type in the 4FGL/LAT

Astronomische Nachrichten, EarlyView.
ABSTRACT We adopted principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machines (SVM), to study classification for a sample of 2708 Fermi blazars: 1142 BL Lac objects (BLLs), 759 flat spectrum radio quasars (FSRQs), and 807 blazar candidates of uncertain type (BCUs).
Wen‐Xin Yang, Guo‐Hai Chen, Jing‐Tian Zhu, Hong‐Guang Wang, Denis Bastieri, Xu‐Hong Ye, Jing‐Chao Liang, De‐Xiang Wu, Jiang‐He Yang, Anton A. Strigachev, Rumen S. Bachev, Jun‐Jie Feng, Yi Liu, Jun‐Hui Fan   +13 more
wiley   +1 more source

From Data to Dimers: Engineering Acene Derivatives for Photovoltaic Singlet Fission

Chemistry – A European Journal, EarlyView.
Excited‐state energies of acene derivatives are predicted using a ChemBERTa‐based regression model and subsequently used to screen candidates for photovoltaic singlet fission using dimer–monomer benchmarked energetic criteria. Promising candidates are predominantly 5‐ and 6‐fused heteroacenes, which offer enhanced stability and higher triplet energies ...
Alexander J. Cross, Rik R. Tykwinski, J. Terence Blaskovits   +2 more
wiley   +1 more source

Determination and Recovery of Spin‐States for a High‐Spin and a Spin‐Crossover Complex by Means of X‐Ray Wavefunction Refinement

Chemistry – A European Journal, EarlyView.
The determination of spin‐states by methods like Hirshfeld atom refinement is a promising development in the field of quantum crystallography. To this end, we present x‐ray wavefunction refinement as a next step in this process, identifying the spin and translating it into a physical wavefunction.
Johannes Bartusel, Daniel Brüx, Christoph Hennig, Florian Kleemiss   +3 more
wiley   +1 more source

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

Deep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang, Leifeng Meng, Qinghu Fan, Ziang Guo, Ting Bao, Pingdong Zhong, Fulin Luo   +6 more
wiley   +1 more source