Results 121 to 130 of about 89,338 (314)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

A hybrid model for detecting motion artifacts in ballistocardiogram signals

open access: yesBioMedical Engineering OnLine
Background The field of contactless health monitoring has witnessed significant advancements with the advent of piezoelectric sensing technology, which enables the monitoring of vital signs such as heart rate and respiration without requiring direct ...
Yuelong Jiang, Han Zhang, Qizheng Zeng
doaj   +1 more source

Navigation Aiding by a Hybrid Laser-Camera Motion Estimator for Micro Aerial Vehicles

open access: yesSensors, 2016
Micro Air Vehicles (MAVs) equipped with various sensors are able to carry out autonomous flights. However, the self-localization of autonomous agents is mostly dependent on Global Navigation Satellite Systems (GNSS).
Jamal Atman   +3 more
doaj   +1 more source

Hybrid Motion Planning Using Minkowski Sums [PDF]

open access: yesRobotics: Science and Systems IV, 2008
Probabilistic and deterministic planners are two major approximate-based frameworks for solving motion planning problems. Both approaches have their own advantages and disadvantages. In this work, we provide an investigation to the following question: Is there a planner that can take the advantages from both probabilistic and deterministic planners ...
openaire   +1 more source

Coupling of nanomechanical resonators to controllable quantum systems [PDF]

open access: yes, 2014
The coupling of nanomechanical resonators to controllable quantum systems represents a growing and promising area of research. Recent advances in this field have brought to astonishing results, such as the initialization of a mechanical resonator into ...
Montinaro, Michele
core   +1 more source

Transfer Printing and Reconfiguration of Soft Electronics Using Digital Microfluidics and Laser Machining

open access: yesAdvanced Functional Materials, EarlyView.
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen   +15 more
wiley   +1 more source

The Applications of Compliant Motion Control Technique on 6-DOF Hydraulic Parallel Mechanism

open access: yesIEEE Access, 2019
Most interaction control formulations focused on electrically driven parallel mechanism. In this paper, the combining practice applications of compliant motion control technique on six degrees of freedom (6-DOF) hydraulic parallel mechanism (HPM) are ...
Shupeng Zheng   +4 more
doaj   +1 more source

Modeling sound propagation in acoustic waveguides using a hybrid numerical method [PDF]

open access: yes, 2008
Sound propagation in an acoustic waveguide is examined using a hybrid numerical technique. Here, the waveguide is assumed to be infinite in length with an arbitrary but uniform cross-section.
Kirby, R, Ray Kirby
core   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Text-Guided Diverse Scene Interaction Synthesis by Disentangling Actions From Scenes

open access: yesIEEE Access
Generating human motion within 3D scenes from textual descriptions remains a challenging task because of the scarcity of hybrid datasets encompassing text, 3D scenes, and motion. Existing approaches suffer from fundamental limitations: a lack of datasets
Hitoshi Teshima   +5 more
doaj   +1 more source

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