Results 261 to 270 of about 139,732 (335)
Deep Learning Unlocks Behavioral Prediction and Neurobehavioral Decoding
This review evaluates deep learning frameworks that surmount conventional limitations through high‐dimensional nonlinear modeling, spatiotemporal dependency capture, and multimodal information integration. Focusing on biological behavior forecasting and neural mechanism decoding, we delineate cutting‐edge applications, including real‐time action ...
Tianzhe Han +5 more
wiley +1 more source
Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar +3 more
wiley +1 more source
Fourth-stable stochastic resonance and its application to weak fault signal detection of rotating machinery [PDF]
Xialun Yun +3 more
openalex +1 more source
ABSTRACT This paper develops a mathematical framework for interpreting observations of solar inertial waves in an idealized setting. Under the assumption of purely toroidal linear waves on the sphere, the stream function of the flow satisfies a fourth‐order scalar equation.
Tram Thi Ngoc Nguyen +3 more
wiley +1 more source
Noise-sensitive measure for stochastic resonance in biological oscillators
Ying-Cheng Lai +3 more
openalex +1 more source
Isobornyl acrylate macromonomer solutions are synthesized via high‐temperature radical polymerization using a starved‐feed semi‐batch operating policy. Through sequential feeding, the macromonomer solution functions as an addition‐fragmentation agent, facilitating the production of blocky and comb acrylate copolymers.
Elizabeth G. Bygott +3 more
wiley +1 more source
New measures and effects of stochastic resonance
Swaminathan Sethuraman
openalex +1 more source
Field‐Based Spatial Self‐Registration of Multicoil Hardware for B0 Field Control
ABSTRACT Purpose To develop and validate a magnetic field‐based method for self‐registration of multicoil (MC) shim hardware in MRI systems, enabling accurate B0 field control despite nonreproducible hardware placement between calibration and experimental sessions.
Isabelle Zinghini +4 more
wiley +1 more source
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman +3 more
wiley +1 more source

