Results 41 to 50 of about 4,475 (244)

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Oscillatory localization and impedance-coordinated method for multi-converter power systems based on the impedance network matrix

International Journal of Electrical Power & Energy Systems
The Bus participation factor (PF) has been identified as an effective method for identifying the power converters and buses contributing significantly to harmonic instability. However, the PF depends on the system’s eigenvalue calculations, which require
Donghui Zhang, Xin Chen, Fan Yang
doaj   +1 more source

Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes

Advanced Intelligent Systems, EarlyView.
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards, Thales C. Silva, M. Ani Hsieh   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Infinite eigenvalue assignment for singular systems

Linear Algebra and its Applications, 1999
The infinite eigenvalue assignment problem for singular systems described by \[ E\dot x= Ax+ Bu,\quad E, A\in\mathbb{R}^{n\times n},\quad B\in\mathbb{R}^{n\times m},\quad \text{det }E= 0\tag{1} \] is studied. Necessary and sufficient conditions are established for the existence of a state feedback for (1) such that the closed-loop system is regular and
Chu, D., Ho, D.W.C.
openaire   +1 more source

Moiré Folded Helical States at the Interfaces of Heterostructures

Advanced Physics Research, EarlyView.
This manuscript explores a minimal ladder model of a graphene‐topological‐insulator heterostructure where moiré superlattices modulate Rashba spin‐orbit coupling. The study reveals that SOC lifs spin degeneracy, halves spectral periodicity, and induces “helicity fragmentation” across moiré minibands.
Paula Mellado
wiley   +1 more source

Patterns of spinal motion, kinematic spaces and the land‐to‐sea transition in carnivorans

The Anatomical Record, EarlyView.
Using 3D reconstructions, we quantify intervertebral joint mobility to investigate how cervical, thoracic, and lumbar vertebral regions evolved distinct kinematic roles in pinnipeds. The findings reveal lineage‐specific adaptations for swimming and highlight the functional significance of vertebral joint flexibility in ecological transitions.
Juan Miguel Esteban, Alberto Martín‐Serra, Alejandro Pérez‐Ramos, Borja Figueirido   +3 more
wiley   +1 more source

Modal LMI-based observer design with performance guarantees for semilinear parabolic PDEs: Application to bioreactor system

Results in Control and Optimization
This paper presents a systematic modal LMI-based framework for infinite-dimensional state observer design of semilinear parabolic partial differential equation (PDE) systems.
Ivan Yupanqui, Gustavo Pérez-Zuñiga, Luis Enciso-Salas   +2 more
doaj   +1 more source

Examining the Validity and Reliability of Evaluation in Ayres Sensory Integration Data Collected With Autistic Children: A Rasch Analysis

Autism Research, EarlyView.
ABSTRACT Performance‐based assessments of sensory function provide essential insights into sensory integration challenges in autistic children and provide objective, standardized measurement data that can be used to tailor targeted interventions. We sought to evaluate the validity and reliability of data collected using the Evaluation in Ayres Sensory ...
Patricia Grady‐Dominguez, Anita C. Bundy, Zoe Mailloux, Roseann C. Schaaf   +3 more
wiley   +1 more source