Results 131 to 140 of about 17,724 (252)

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, Volume 2, Issue 4, August 2026.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Speech impairment detection in children using time frequency features of speech and deep learning techniques. [PDF]

open access: yesFront Hum Neurosci
Manoswini M   +6 more
europepmc   +1 more source

Combining Light Irradiation and Aldoxime Dehydratase for the Synthesis of Benzonitriles From Benzyl Alcohols Through Oxime Intermediates

open access: yesAdvanced Synthesis &Catalysis, Volume 368, Issue 15, 1 August 2026.
A cyanide‐free cascade integrating photocatalysis and biocatalysis is presented. Benzyl alcohols undergo light‐driven oxidation–oximation to form oxime intermediates, which are subsequently converted into benzonitriles through dehydration catalyzed by an engineered aldoxime dehydratase.
Luca Nespoli   +3 more
wiley   +1 more source

Adaptive Weighting Ensemble Approach for High‐Fidelity PM10 Forecasting via Evolutionary TCN and Bidirectional GRU

open access: yesAdvanced Theory and Simulations, Volume 9, Issue 8, August 2026.
A novel adaptive weighted ensemble framework integrating BiGRU, enhanced attention‐based TCN, and linear regression improves one‐hour‐ahead PM10 forecasting by jointly capturing sequential dependencies, multi‐scale temporal patterns, and residual linear relationships.
Huseyin Cagan Kilinc   +4 more
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour   +5 more
wiley   +1 more source

A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability. [PDF]

open access: yesNPJ Digit Med
Ruan X   +10 more
europepmc   +1 more source

A Deep Learning Model for Decadal Indian Ocean Dipole

open access: yesAtmospheric Science Letters, Volume 27, Issue 8, August 2026.
This study develops a deep learning model based on a bidirectional gated recurrent unit (BiGRU) to predict the decadal Indian Ocean Dipole (IOD). Using CMIP6 DCPP models, we first assess IOD predictability, then show the BiGRU model achieves substantially higher skill than traditional dynamical models.
Sitraka Ny Aina Raharivelo   +4 more
wiley   +1 more source

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