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Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source

Improvement of continuous emotion recognition of temporal convolutional networks with incomplete labels

IET Image Processing
Video‐based emotion recognition has been a long‐standing research topic for computer scientists and psychiatrists. In contrast to traditional discrete emotional models, emotion recognition based on continuous emotional models can better describe the ...
Zheyu Wang, Jieying Zheng, Feng Liu
doaj +1 more source

Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets [PDF]

, 2021
Christian Schorr, Payman Goodarzi, Fei Chen, Tim Dahmen +3 more
openalex +1 more source

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks [PDF]

, 2016
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32x memory saving. In XNOR-Networks, both the filters and the input to convolutional layers are binary.
Rastegari, Mohammad +3 more
openaire +2 more sources

Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin

Advanced Materials, EarlyView.
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source

Page Stream Segmentation with Convolutional Neural Nets Combining\n Textual and Visual Features [PDF]

, 2017
Gregor Wiedemann, Gerhard Heyer
openalex +2 more sources

Social‐ATPGNN: Prediction of multi‐modal pedestrian trajectory of non‐homogeneous social interaction

IET Computer Vision
With the development of automatic driving and path planning technology, predicting the moving trajectory of pedestrians in dynamic scenes has become one of key and urgent technical problems. However, most of the existing techniques regard all pedestrians
Kehao Wang, Han Zou
doaj +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho +9 more
wiley +1 more source

DEUFormer: High‐precision semantic segmentation for urban remote sensing images

IET Computer Vision
Urban remote sensing image semantic segmentation has a wide range of applications, such as urban planning, resource exploration, intelligent transportation, and other scenarios.
Xinqi Jia +5 more
doaj +1 more source

Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network [PDF]

, 2021
Bo Pan, Wei Zheng
openalex +1 more source

pattern recognition psychology
computer vision
deep learning

fos: computer and information sciences
artificial neural network
machine learning

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