Results 141 to 150 of about 2,930,586 (273)

A Generalization of the Binomial Interpolated Operator and its Action on Linear Recurrent Sequences [PDF]

, 2012
Stefano Barbero, Umberto Cerruti, Nadir Murru   +2 more
openalex   +2 more sources

Adaptive weighted progressive iterative approximation based on coordinate decomposition. [PDF]

PLoS One
Liu Y, Wang Y, Liu C.
europepmc   +1 more source

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Shared worlds, shared minds : Strategies to develop physically and socially embedded AI. [PDF]

EMBO Rep
Pezzulo G, Parr T, Friston KJ.
europepmc   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies. [PDF]

J Magn Reson Imaging
Noordman CR, Te Molder LPW, Maas MC, Overduin CG, Fütterer JJ, Huisman HJ.   +5 more
europepmc   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

Real-time abnormal behaviour detection using energy-efficient YOLO-based framework. [PDF]

Sci Rep
Krishnan SR, Amudha P, Sivakumari S.
europepmc   +1 more source

Sequence of potentials interpolating between the U(5) and E(5) symmetries [PDF]

, 2004
Dennis Bonatsos, D. Lenis, N. Minkov, P. P. Raychev, P. A. Terziev   +4 more
openalex   +1 more source