Results 41 to 50 of about 27,852 (244)
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Dry soft Ti3C2Tx MXene electroencephalography (EEG) electrodes provide low impedance (2.1 ± 1.8 kΩ at 10 Hz), long‐term stability, and enable safe simultaneous EEG and transcranial magnetic stimulation (TMS). Across scalp sites, hair types, and recording paradigms, including steady state visual evoked potentials (SSVEP), clinical EEG, and mobile EEG ...
Sneha Shankar +17 more
wiley +1 more source
A Fault-tolerance Subspace Clustering Algorithm in Data Mining [PDF]
In order to improve the computation efficiency of the subspace clustering algorithm,this paper gives a general fault-tolerance subspace clustering definition according to the number of objects,dimensions,mode tolerance and relative threshold constraint ...
TIAN Jinhua,SUN Li
doaj +1 more source
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu +34 more
wiley +1 more source
Subspace variational quantum simulator
Quantum simulation is one of the key applications of quantum computing, which accelerates research and development in the fields such as chemistry and material science.
Kentaro Heya +10 more
doaj +1 more source
PHASELESS SUBSPACE TRACKING [PDF]
This work takes the first steps towards solving the "phaseless subspace tracking" (PST) problem. PST involves recovering a time sequence of signals (or images) from phaseless linear projections of each signal under the following structural assumption: the signal sequence is generated from a much lower dimensional subspace (than the signal dimension ...
Nayer, Seyedehsara, Vaswani, Namrata
openaire +2 more sources
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
In the estimation of the direction of arrival (DOA) for interference signals, the direction-finding error of the multiple signal classification (MUSIC) algorithm will increase in the case of multiple interferences or when the interfering signal power is ...
Hao Wang, Qing Chang, Yong Xu, Xianxu Li
doaj +1 more source
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
A Distributed Sensor-Based Recursive Framework for DoA Estimation and Geolocation
This paper proposes a distributed sensor-based RECursive Subspace and Factor Graph (REC-SaFG) framework for direction-of-arrival (DoA) estimation and geolocation of a fast-moving target.
Lei Jiang +3 more
doaj +1 more source

