Results 211 to 220 of about 117,697,012 (350)
Recent Advances in Organic Donor-Acceptor Two-Photon Absorption Materials: Mechanisms, Molecular Design, and Applications. [PDF]
Li B, Ni Y, Qi Q, Zhu W.
europepmc +1 more source
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
Spectral-Entropy Network Analysis of Multidimensional Poverty: An Explainable AI Framework for Complex Socioeconomic Systems. [PDF]
Çelik S, Köroğlu CZ, Köroğlu MA.
europepmc +1 more source
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source
AI-Enabled Shrinkage Analysis and Morphology Control in Food Processing: Mechanisms, Multimodal Perception, Modeling, and Intelligent Regulation. [PDF]
Sun Q +8 more
europepmc +1 more source
Based on Chaos Theory: Modeling and Control of Nonlinear Systems
This paper presents a novel approach to modeling and controlling nonlinear systems based on chaos theory. The core of this methodology lies in leveraging the inherent characteristics of chaotic systems, specifically their sensitivity to initial conditions and complex dynamical behavior, to achieve accurate system modeling and effective control.
openaire +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Inverse theory of wavefront shaping in nonlinear scattering media. [PDF]
Wu D +11 more
europepmc +1 more source

