Results 121 to 130 of about 324,009 (309)

Crack Detection in Environments with Complex Backgrounds Using Deep Convolution Neural Nets [PDF]

, 2022
M.M.S. El-Morsy
openalex   +1 more source

Wide‐Field Bond Quality Evaluation Using Frequency Domain Thermoreflectance with Deep Neural Network Feature Reconstruction

Advanced Materials Interfaces, EarlyView.
In this work, wide‐field (>1 mm2) frequency‐domain thermoreflectance (FDTR) hyperspectral imaging is used to image subsurface indium bump bonds 50 µm below the surface. Thermal analysis with Monte Carlo uncertainty propagation is used to evaluate bump quality, while a trained deep neural network (can rapidly reconstruct bump geometry contact area maps.
Amun Jarzembski, Siddharth Nair, Wyatt Hodges, Matthew Jordan, Anthony McDonald, Logan Antiporda, Greg W. Pickrell, Timothy Walsh, Fabio Semperlotti, Jason Neely, Luke Yates   +10 more
wiley   +1 more source

Fabrication and Characterization of PEDOT:PSS‐Based Microstructured Electrodes for In Vitro Cell Culture

Advanced Materials Interfaces, EarlyView.
Poly(3,4‐ethylenedioxythiophene) poly(styrene sulfonate) (PEDOT:PSS)‐based microstructured electrodes are fabricated using vacuum soft lithography as an alternative to conventional methods. This novel fabrication approach enables the production of scalable and cost‐effective bioelectronic devices.
Gema del Rocio Lopez‐Buenafe, Juncal Anne Alonso‐Cabrera, Carlos Marcuello, Maider Ortiz‐Perez, Fernando Benito‐Lopez, Adai Colom, Lourdes Basabe‐Desmonts, Janire Saez   +7 more
wiley   +1 more source

GAMNet: Global attention via multi‐scale context for depth estimation algorithm and application

IET Image Processing
Deep neural networks significantly enhance the accuracy of the stereo‐based disparity estimation. Some current methods suffer from inefficient use of the global context information, which will lead to the loss of structural details in ill‐posed areas. To
Huitong Yang, Liang Lei, Haiwei Sang
doaj   +1 more source

Y-Net: A deep Convolutional Neural Network for Polyp Detection

, 2018
Colorectal polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of crucial importance. Colonoscopy is commonly used for early detection of cancer and precancerous pathology.
Mohammed, Ahmed, Yildirim, Sule, Farup, Ivar, Pedersen, Marius, Hovde, Øistein   +4 more
openaire   +2 more sources

Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications

Advanced Materials Technologies, EarlyView.
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung, Sindhu Priya Giridhar, Irfan H. Abidi, Taimur Ahmed, Akram AI‐Hourani, Sumeet Walia   +5 more
wiley   +1 more source

A Space-Variant Visual Pathway Model for Data Efficient Deep Learning

Frontiers in Cellular Neuroscience, 2019
We present an investigation into adopting a model of the retino-cortical mapping, found in biological visual systems, to improve the efficiency of image analysis using Deep Convolutional Neural Nets (DCNNs) in the context of robot vision and egocentric ...
Piotr Ozimek, Nina Hristozova, Lorinc Balog, Jan Paul Siebert   +3 more
doaj   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Transformative 4D Printed SMPs into Soft Electronics and Adaptive Structures: Innovations and Practical Insights

Advanced Materials Technologies, EarlyView.
This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid, Adam Otabil, Omar Samir Mamoun, Khalid Askar, Mahdi Bodaghi   +4 more
wiley   +1 more source

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source