Results 281 to 290 of about 1,219,228 (291)

A Soft Wearable Robot for Vertical Jump Enhancement via a Pneumatic Energy‐Storing Propulsion Actuator and Triarticular Kinetic‐Chained Structure

open access: yesAdvanced Intelligent Systems, EarlyView.
The Jump‐Enhancing Textile Suit integrates the Pneumatic Energy‐Storing Propulsion Actuator (PESPA) and the Triarticular Kinetic‐Chained Structure (TKiCS). PESPA stores elastic energy under pneumatic pressure and releases it during the propulsive phase to augment movement.
Sunghun Kim   +5 more
wiley   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu   +6 more
wiley   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

open access: yesAdvanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad   +4 more
wiley   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

open access: yesAdvanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel   +5 more
wiley   +1 more source

A Compact, Self‐Recovering Wire Electrode Electrohydrodynamic Pump for High‐Speed McKibben Artificial Muscle Actuation

open access: yesAdvanced Intelligent Systems, EarlyView.
A compact and self‐recovering wire electrode electrohydrodynamic pump achieves high pressure, fast flowrate, and automatic recovery after dielectric discharge breakdowns. The pump delivers twice the power density of previous designs, and when integrated with a McKibben artificial muscle, enables tenfold faster actuation, offering a lightweight, silent,
Amr Marzuq   +7 more
wiley   +1 more source

Developing an AI-Based LMS to Support Self-Regulated Learning in Secondary Mathematics Education

open access: diamond
Agus Arifin   +3 more
openalex   +1 more source

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