Results 201 to 210 of about 243,777 (273)

Automated Malaria Ring Form Classification in Blood Smear Images Using Ensemble Parallel Neural Networks. [PDF]

J Imaging
Pongpanitanont P, Suttidate N, Nuinoon M, Khampeeramao N, Laymanivong S, Janwan P.   +5 more
europepmc   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

Advanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Artificial intelligence-assisted personal protective equipment donning and doffing training for health professions students and healthcare workers: a scoping review. [PDF]

BMC Med Educ
Lv Y, Cai M, Xiang Q, Wang P.
europepmc   +1 more source

3D‐Printed Dynamic Heart Model With Left‐Side Anatomy and Integrated Sensor for Edge‐to‐Edge Repair and Regurgitation Reduction

Advanced Materials Technologies, EarlyView.
This work presents a fully synthetic, 3D‐printed dynamic heart model with left‐side anatomy featuring sutured mitral valve chordae tendineae analogs, embedded actuators for physiologic wall contraction, and customized flexible pressure sensors for the left ventricle.
Alejandro Guillen Obando, Hongyi Shen, Myles McGovern, Yusen Zhang, Vivien Lin, Darryl Fu, Ryan Baumwart, Kaiyan Qiu   +7 more
wiley   +1 more source

Hundred-layer photonic deep learning. [PDF]

Nat Commun
Zhou T, Jiang Y, Xu Z, Xue Z, Fang L.
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

PLXFPred: interpretable cross-attention networks with hierarchical fusion of multi-modal features for predicting protein-ligand interactions and affinities. [PDF]

Bioinformatics
Li J, Cai R, Wang Z, Sun Y, Yang W, Hu Y.   +5 more
europepmc   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Correction to 'Base-resolution binding profile prediction of proteins on RNAs with deep learning'. [PDF]

Nucleic Acids Res
europepmc   +1 more source

A sparrow search algorithm-optimized LSTM framework with EMD denoising for rolling element bearing remaining useful life prediction. [PDF]

Sci Rep
Li Q, Zhang B, Fang X.
europepmc   +1 more source