Results 211 to 220 of about 369,200 (324)
Can Quantized Audio Language Models Perform Zero-Shot Spoofing Detection? [PDF]
Bikash Dutta +4 more
openalex +1 more source
Asymptotic analysis and energy quantization for the Lane-Emden problem in dimension two [PDF]
Francesca De Marchis +3 more
openalex +1 more source
Energy Landscapes in Chemical Reactions and Transport
Kinetics/dynamics of chemical reactivity and transport of chemical species in a solid are both determined by the energy landscape in which they take place. Discussing common grounds but also distinct differences may help in advancing the understanding in both fields.
Karl‐Michael Weitzel
wiley +1 more source
Modeling macroscopic brain dynamics with brain-inspired computing architecture. [PDF]
Zheng Z +9 more
europepmc +1 more source
Feature quantization for parsimonious and interpretable predictive models [PDF]
Adrien Ehrhardt +3 more
openalex +1 more source
Exploring New Physics of Massive Particles and Charge Quantization
Mohammed Ibrahim Abdelgabar +1 more
openalex +1 more source
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source
On invariant quantization of non-Abelian gauge fields [PDF]
J. Manjavidze
openalex +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Hardware-Oriented Approximations of Softmax and RMSNorm for Efficient Transformer Inference. [PDF]
Kang Y, Wang D.
europepmc +1 more source

