Results 51 to 60 of about 21,944 (260)

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

Mutually Coupled Transmission Line Parameter Estimation and Voltage Profile Calculation Using One Terminal Data Sampling and Virtual Black-Box

open access: yesIEEE Access, 2019
In this paper, an accurate parameter identification algorithm is proposed for transient voltage profile calculation of the unknown transmission lines.
Seyyed Mohammad Sadegh Ghiasi   +2 more
doaj   +1 more source

A Sparse Learning Machine for Real-Time SOC Estimation of Li-ion Batteries

open access: yesIEEE Access, 2020
The state of charge (SOC) estimation of Li-ion batteries has attracted substantial interests in recent years. Kalman Filter has been widely used in real-time battery SOC estimation, however, to build a suitable dynamic battery state-space model is a key ...
Li Zhang   +5 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

‘Pulsing’ cities and ‘swarming’ metropolises: A simplified, entropy-based approach to long-term urban development

open access: yesEcological Indicators, 2022
Relocating activities along the fringe, re-designing economic functions, and re-modelling settlement structures across larger regions and broader spatial scales, reflect the inherent shift toward complex metropolitan systems.
Samaneh Sadat Nickayin   +5 more
doaj   +1 more source

Systematic Exploration of 3D Concrete Printing Parameters for Conformal Printing on Sloped Surfaces

open access: yesAdvanced Robotics Research, EarlyView.
A conformal slicing algorithm is developed for robotic 3D concrete printing (3DCP) on sloped surfaces as a first step toward printing slab‐on‐grade foundations on uneven terrain. Systematic experiments quantify the effects of nozzle speed, extrusion rate, and toolpath direction on filament dimension and stability.
Paniz Farrokhsiar   +2 more
wiley   +1 more source

Reduction of global interference in functional multidistance near-infrared spectroscopy using empirical mode decomposition and recursive least squares: a Monte Carlo study [PDF]

open access: yesJournal of the European Optical Society-Rapid Publications, 2011
Functional near-infrared spectroscopy (fNIRS) is a sensitive technique that has the potential to detect haemodynamic changes during the performance of specific activation tasks.
Zhang Y., Sun J., Rolfe P.
doaj   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

Data-Driven Koopman Operator-Based Model Predictive Control with Adaptive Dictionary Learning for Nonlinear Industrial Process Optimization

open access: yesMathematics
Nonlinear model predictive control (NMPC) delivers high tracking accuracy for industrial processes but requires solving a nonlinear program at each sampling instant, limiting its applicability under tight real-time constraints.
Zhihao Zeng, Hao Wang, Yahui Shan
doaj   +1 more source

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