Results 131 to 140 of about 2,286 (169)
Hypercomplex neural networks: Exploring quaternion, octonion, and beyond in deep learning. [PDF]
Devadas RM +5 more
europepmc +1 more source
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley +1 more source
openaire
Categorical framework for quantum-resistant zero-trust AI security. [PDF]
Cherkaoui I, Clarke C, Horgan J, Dey I.
europepmc +1 more source
The Rise of Human–Computer Integration in Marketing: A Theory Synthesis
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco +5 more
wiley +1 more source
Flow partition in two-dimensional open channels with porous structures. [PDF]
Radiyan FM, Liu X.
europepmc +1 more source
ABSTRACT Recent advances in the numerical solution of fractional partial differential equations have yielded promising results. In particular, the Shifted Grünwald–Letnikov (SGL) approach allows for a generalization of the traditional finite difference method to the context of fractional differential equations.
Pedro Victor Serra Mascarenhas +1 more
wiley +1 more source
Turbulence generation supported by an inverse energy transfer through a zig-zag pattern. [PDF]
Kronborg J, Hoffman J.
europepmc +1 more source
Optimal Control‐Based Generic Framework for Radiofrequency Pulse Design in MRI
This paper presents an open‐source Python‐based optimal control RF design framework, which can tackle various problems (short‐T2 selective excitation or B1‐robust excitation/inversion). It features three main methodological contributions: a specific cost is introduced to reduce pulse peak amplitude; consistent integration of various hard constraints on
Emilio Molina +2 more
wiley +1 more source

