Results 131 to 140 of about 17,724 (252)
Hard‐Magnetic Soft Millirobots in Underactuated Systems
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]
Manoswini M +6 more
europepmc +1 more source
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
Early Detection of Spoofing Threats and Network Resilience Prediction in Drones Based on GRU and LSTM. [PDF]
Oh C, Youn J, Ryu W, Kim K.
europepmc +1 more source
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
Improved leaf area index estimation in Jujube trees by fusing spatial-temporal features from UAV RGB time-series with a deep learning framework. [PDF]
Liu Y, Gao Y, Wang J, Liu D, Zheng Z.
europepmc +1 more source
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]
Ruan X +10 more
europepmc +1 more source
A Deep Learning Model for Decadal Indian Ocean Dipole
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
AI-Driven Dental Procedure Coding: A Multi-Model Framework for CDT Extraction from Clinical Text. [PDF]
Annareddy P +3 more
europepmc +1 more source

