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Results 231 to 240 of about 6,781,577 (302)

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source

Classification of Pulmonary Nodules in 2-[¹⁸F]FDG PET/CT Images with a 3D Convolutional Neural Network. [PDF]

Nucl Med Mol Imaging
Alves VM, Dos Santos Cardoso J, Gama J.
europepmc +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source

AI‐Assisted Ultrasensitive Biosensing using Metal‐Electrolyte‐Metal‐Insulator‐Silicon Structure Based on Oxygen‐Tunable Iridium Oxide Nanonets for Lysyl‐Oxidase‐Like‐2 Breast Cancer Detection

Advanced Electronic Materials, EarlyView.
An oxygen‐controlled iridium‐oxide (IrOx) nano‐net structure is developed to enhance the sensitivity of metal‐electrolyte‐metal‐insulator‐silicon (MEMIS) biosensors. Integrated with a deep learning model, this platform achieves a high accuracy of 94.8% for detecting the breast cancer biomarker LOXL2.
Chiao‐Fan Chiu +9 more
wiley +1 more source

Computed tomography-based 3D convolutional neural network deep learning model for predicting micropapillary or solid growth pattern of invasive lung adenocarcinoma. [PDF]

Radiol Med
Huo J +8 more
europepmc +1 more source

Reliable Ru‐Based CBRAM Synapses for Energy‐Efficient Neuromorphic Computing: Suppressing Filament Overgrowth and Read Noise via Ru‐Pt Alloy and AlOx Engineering

Advanced Electronic Materials, EarlyView.
Ru–Pt alloying suppresses filament overgrowth and an AlOx switching layer enhances reliable switching, hopping transport enables conductance tuning via hopping distance modulation, Ru7Pt3/AlOx/Pt device yields 16 low‐noise conductance states, a 2–3‐fold improvement over prior Ru‐based CBRAM, and CSNN inference on FMNIST reaches 81% accuracy with 103 ...
Sangmin Lee +10 more
wiley +1 more source

CatStep: Automated Cataract Surgical Phase Classification and Boundary Segmentation Leveraging Inflated 3D-Convolutional Neural Network Architectures and BigCat. [PDF]

Ophthalmol Sci
Mahmoud O +5 more
europepmc +1 more source

Physical Unclonable Functions From Microwave Metasurface Fingerprints

Advanced Electronic Materials, EarlyView.
Nominally identical metasurfaces fabricated through standard PCB processes inevitably contain microscopic fabrication imperfections. This work demonstrates that these unavoidable electromagnetic deviations can serve as unique physical unclonable fingerprints for wireless authentication.
Guanxiong Shen +4 more
wiley +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source

deep learning
convolutional neural network