Results 121 to 130 of about 1,451,519 (348)
Convolutional Neural Network Committees for Handwritten Character Classification [PDF]
, 2011 Dan Claudiu Cireşan +3 more
openalex +1 more source
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 +5 more
wiley +1 more source
A review of convolutional neural networks in computer vision
Artificial Intelligence ReviewIn computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstruction with the rapid development of deep convolutional neural ...
Xia Zhao +5 more
semanticscholar +1 more source
Automated Edge Detection Using Convolutional Neural Network [PDF]
, 2013 A. Mohamed, A. Yarub, A. Mohamed
openalex +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 +2 more
wiley +1 more source
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 +4 more
wiley +1 more source
Advances in Convolutional Neural Networks
, 2020 Deep Learning, also known as deep representation learning, has dramatically improved the performances on a variety of learning tasks and achieved tremendous successes in the past few years. Specifically, artificial neural networks are mainly studied, which mainly include Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs) and Recurrent ...
Hui Zheng, Yanfeng Shu, Jing He, Wen Xu
openaire +3 more sources
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
Advanced Materials Technologies, EarlyView.This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin +8 more
wiley +1 more source
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection [PDF]
, 2014 Haibo Wang +8 more
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Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials
Advanced Materials Technologies, EarlyView.This review highlights emerging fabrication techniques of 2D material‐based neuromorphic devices, emphasizing proximity vapor transfer for bioinspired optoelectronic applications. Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic ...
Shubham Umeshkumar Gupta +7 more
wiley +1 more source