Results 121 to 130 of about 5,783 (221)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Crofton Risk and Relative Transactional Entropy. [PDF]

Entropy (Basel)
Makowski M, Piotrowski EW.
europepmc   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Fisher-Rao Distance for Finite-Energy Signal Manifolds: Geometric Foundations and Numerical Analysis. [PDF]

Entropy (Basel)
Florin F.
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Parametric Modeling of Cochlear Electrode Arrays Using Design of Experiments and Finite Element Analysis (FEA). [PDF]

Appl Bionics Biomech
Alaboodi AS, Alsamri J.
europepmc   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Stochastic Mechanical Response and Failure Mode Transition of Corroded Buried Pipelines Subjected to Reverse Faulting. [PDF]

Materials (Basel)
Li T, Yu K, Hu Y, Wu R, Yang Y, Liu F.
europepmc   +1 more source

Stochastic Locomotion Emerging From Body–Environment Interactions in a Mexican Jumping Bean–Inspired Robot

Advanced Intelligent Systems, EarlyView.
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan, Alessio Mondini, Edoardo Sinibaldi, Barbara Mazzolai   +3 more
wiley   +1 more source

Generative Protein Design: From Deep Learning Algorithms to Translational Applications. [PDF]

Int J Mol Sci
Luo S, Zhou B.
europepmc   +1 more source