Results 211 to 220 of about 6,781,577 (302)

Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model. [PDF]

Sci Rep
Koyama M, Ueno Y, Ito Y, Oshika T, Tanito M.   +4 more
europepmc   +1 more source

Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing

Advanced Science, EarlyView.
We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov, Elina Tcherniavskaia, Andreas Ostendorf, Anton Saetchnikov   +3 more
wiley   +1 more source

3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal. [PDF]

Front Neurorobot
Li X, Chu Y, Wu X.
europepmc   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

Reviewing 3D convolutional neural network approaches for medical image segmentation. [PDF]

Heliyon
Ilesanmi AE, Ilesanmi TO, Ajayi BO.
europepmc   +1 more source

AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure

Advanced Science, EarlyView.
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo, Andrea Ruiz‐Ferrando, Adam H. Clark, Stephan Pollitt, Sharon Mitchell, Javier Pérez‐Ramírez, Núria López   +6 more
wiley   +1 more source

A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases. [PDF]

J Imaging Inform Med
Felefly T, Francis Z, Roukoz C, Fares G, Achkar S, Yazbeck S, Nasr A, Kordahi M, Azoury F, Nasr DN, Nasr E, Noël G.   +11 more
europepmc   +1 more source

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

Advanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang, Xinyu Lu, Tong Liu, Jinjie Fang, Xin Li, Siqian Wu, Liuchao Jin, Wei‐Hsin Liao, Shuyou Zhang, Jianrong Tan   +9 more
wiley   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

Advanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang, Yanting Xu, Yue Zhang, Yan Zhang, Jianfeng Li, Ming Li, Longlin Lei, Wenda Bao, Weixuan Zeng, Shisheng Xiong   +9 more
wiley   +1 more source

Leveraging 3D convolutional neural network and 3D visible-near-infrared multimodal imaging for enhanced contactless oximetry. [PDF]

J Biomed Opt
Liao W, Zhang C, Alić B, Wildenauer A, Dietz-Terjung S, Ortiz Sucre JG, Sutharsan S, Schöbel C, Seidl K, Notni G.   +9 more
europepmc   +1 more source